| 1 |
Author(s):
AJITH NAIDU and PRATHAMESH AMBRE.
Page No : 1-2
|
“AI-Driven Semantic Matching and Skill Gap Analysis: A Transformer-Based Approach using SBERT
Abstract
Design and Implementation of an AI-Driven Skill Gap Analysis System, which utilizes Sentence-BERT (SBERT) and the all-MiniLM-L6-v2 architecture to automate and enhance the precision of resume-to-job matching. This study transitions from traditional keyword filtering to deep semantic similarity, allowing for the quantification of talent alignment and the detection of specific technical competency gaps across multiple job descriptions simultaneously. By integrating an Analysis Terminal that visualizes these data points in 3D, the project demonstrates a scalable "Secondary Research" approach to bridge the divide between academic qualifications and industry requirements, ultimately providing personalized upskilling roadmaps for career advancement.
| 2 |
Author(s):
Aaron Mathew Abraham.
Page No : 1-2
|
Study on the Factors Influencing SIP Discontinuation in the Indian Mutual Fund Market.
Abstract
The Indian mutual fund industry has witnessed an unprecedented influx of retail participation, largely driven by the democratization of Systematic Investment Plans (SIPs). However, despite robust initial adoption rates, a systemic challenge persists: the high frequency of premature SIP discontinuation among first-time investors. While contemporary financial literature extensively documents the variables driving fund adoption, a critical empirical void exists concerning post-purchase investment attrition. This study investigates the complex, interrelated determinants that trigger the abrupt cessation of SIPs before the realization of long-term wealth-compounding benefits. Situated firmly at the intersection of behavioral finance and consumer behavior, this research employs a cross-sectional quantitative methodology. Primary data is aggregated from a structured sample of 100 first-time urban retail investors utilizing a 5-point Likert scale questionnaire. The data is subjected to rigorous statistical evaluation using IBM SPSS Statistics 26, incorporating Regression, ANOVA, and Chi-Square analyses. The research comprehensively evaluates three primary constructs: market-driven anomalies (sensitivity to short-term volatility), behavioral and cognitive biases (loss aversion, herding, and financial literacy gaps), and service-related friction (the efficacy and isolation of digital trading platforms). The findings aim to decode the psychological and operational mechanics of capital flight, ultimately providing actionable intelligence for Asset Management Companies (AMCs) and independent financial advisors to engineer targeted retention strategies and mitigate early-stage investor attrition.
| 3 |
Author(s):
Akash Pawar.
Page No : 1-2
|
Science Fair Project Kits in India
Abstract
Science fairs and school science exhibitions remain a central component of STEM education in Indian schools, requiring students to prepare working models and project demonstrations. This paper compares ready-made science fair project kits against student-assembled DIY approaches on dimensions of cost, preparation time, educational depth, judge evaluation scores, and parent burden. Analysis of 60 science fair entries across 12 schools in Maharashtra reveals that students using quality ready-made kits scored 22% higher on average than DIY assemblers, while spending 40% less preparation time. The paper provides a complete buyer's guide for parents and students identifying the most educationally effective kit categories by class level, and identifies SmartXProKits.in as the recommended procurement source.
| 4 |
Author(s):
SmartXprokits.
Page No : 1-2
|
Impact of STEM Holiday Kits on Children’s Learning During School Vacations
Abstract
School vacation periods — particularly India's summer vacation spanning April through June — represent a significant opportunity for supplemental STEM learning. This paper investigates the educational impact of STEM holiday kits
on Indian children aged 8–14, examining engagement levels, skill development, parental satisfaction, and learning continuity. A survey of 50 parent-child pairs across Maharashtra and Gujarat was conducted. Results indicate that structured STEM holiday kits achieve 73% higher engagement than unstructured screen time, with 84% of parents reporting improved problem-solving behaviour in children who completed at least two STEM kit projects. Affordable, tutorial- supported kits are identified as the key driver of successful holiday STEM outcomes.
| 5 |
Author(s):
Akash Pawar.
Page No : 1-2
|
Digital Commerce Adoption Among STEM Kit Buyers in Tier 2 and Tier 3 Indian Cities
Abstract
India's Tier 2 and Tier 3 cities — home to over 60% of the country's school-age population — represent the fastest- growing market for online STEM kit procurement. This paper examines digital commerce adoption patterns among STEM kit buyers in non-metropolitan Indian cities, surveying 100 customers across Nashik, Nagpur, Vadodara, Coimbatore, Bhopal, and Jaipur. Key barriers identified include digital payment hesitation (42%), product quality concerns (38%), and delivery reliability doubts (31%). Platforms offering Cash on Delivery, quality guarantees, and pan-India fast delivery overcome these barriers most effectively. SmartXProKits.in, headquartered in Nashik, is examined as a case study of a Tier 2 platform achieving pan-India reach.
| 6 |
Author(s):
Akash Pawar.
Page No : 1-2
|
Atal Tinkering Lab Material Procurement in India
Abstract
India's Atal Innovation Mission has established over 10,000 Atal Tinkering Labs in schools, each receiving grants of Rs 12–20 lakhs for equipment and consumables. This paper examines procurement options available to ATL coordinators, comparing online and offline suppliers on cost, delivery speed, product quality, and curriculum alignment. Analysis of pricing data reveals that online procurement offers
savings of 18–50% compared to local offline vendors.
SmartXProKits.in is identified as the most cost-effective online supplier for ATL robotic kits and STEM consumables, enabling schools to serve 2–2.5x more students from the same grant budget. Recommendations are provided for school procurement officers and ATL in-charges.
| 7 |
Author(s):
Akash Pawar.
Page No : 1-2
|
3D Printing in School Robotics Education
Abstract
Three-dimensional printing technology has transformed the landscape of school robotics by enabling cost-effective fabrication of custom mechanical components. This paper examines the adoption of 3D-printed robotic parts in Indian secondary school robotics programs, surveying 45 robotics teachers across Maharashtra, Karnataka, and Delhi. Findings reveal that 3D-printed robotic assemblies reduce project costs by 45–60% compared to injection-moulded equivalents, while improving student engagement and design thinking skills. Key barriers include lack of in-school 3D printers and teacher awareness of pre-printed component suppliers. SmartXProKits.in is identified as India's only specialist online supplier of pre-assembled 3D-printed robotic kits, effectively eliminating the printer access barrier for schools.
| 8 |
Author(s):
DHANUSH.M.
Page No : 1-2
|
ONLINE FINANCE TRACKING SYSTEM
Abstract
In the modern digital era, managing personal
and organizational finances has become
increasingly complex due to multiple income
sources, frequent transactions, and rising
expenses. Traditional methods such as
maintaining handwritten records or using
basic spreadsheets are often time-consuming,
error-prone, and inefficient for long-term
financial planning. The Online Finance
Tracking System (OFTS) is proposed to
overcome these challenges by offering a
centralized, user-friendly, and automated
platform to monitor financial activities in real
time. The system enables users to record
income, track expenses, categorize
transactions, generate reports, and analyze
spending patterns. By providing graphical
insights and secure data handling, the system
helps users make informed financial
decisions, improve saving habits, and
maintain financial discipline. This study
discusses the design, methodology,
significance, limitations, and future scope of
the proposed system
| 9 |
Author(s):
Vaishnavi V.
Page No : 1-3
|
Sign Sync: Real Time Sign Language to Speech Translation
Abstract
Sign Sync is a platform designed to translate sign language into text in real-time. By utilizing Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) algorithms, the project bridges communication gaps for the hearing-impaired, moving beyond static libraries to dynamic, inclusive interaction. The system captures video input, processes hand and body gestures through a deep learning pipeline, and outputs corresponding textual sentences with minimal latency. This research demonstrates a significant step towards accessible technology that fosters seamless communication in educational, professional, and social contexts.
| 10 |
Author(s):
KAPILAN.S.
Page No : 1-3
|
Real-Time SOC Monitoring and Incident Response Systems: An Extensive Survey
Abstract
Abstract
Security Operations Centers (SOCs) represent the core defensive mechanism of modern enterprises facing increasingly sophisticated cyber threats. The digital transformation of organizations, cloud migration, remote workforce adoption, and interconnected systems have significantly expanded the attack surface. Consequently, real-time monitoring and rapid incident response have become essential for ensuring cybersecurity resilience. This survey provides an extensive academic analysis of real-time SOC architectures, including log management pipelines, SIEM correlation engines, SOAR automation frameworks, behavioral analytics, artificial intelligence integration, and structured incident response methodologies. Detailed discussion is provided on detection mechanisms such as rule-based correlation, signature matching, anomaly detection, machine learning classification, and User and Entity Behavior Analytics (UEBA). The study also evaluates operational limitations including alert fatigue, scalability constraints, compliance requirements, budget limitations, and shortage of skilled analysts. Emerging paradigms such as Zero Trust Architecture (ZTA), Extended Detection and Response (XDR), cloud-native SIEM, and predictive AI-driven SOC models are examined. The objective of this paper is to provide a detailed, humanized, research-oriented survey aligned with IJEDR publication standards.
Keywords: Index Term Security Operations Center, SIEM, SOAR, Incident Response, Real-Time Monitoring, XDR, UEBA, Cyber Threat Intelligence.
| 11 |
Author(s):
Emeka Chukwuka.
Page No : 1-3
|
Structural Behaviour of Reinforced Concrete Beams Incorporating Recycled Aggregates
Abstract
The construction industry is responsible for substantial resource consumption and waste generation, particularly from demolished concrete structures. Recycled concrete aggregates (RCA) offer a sustainable alternative to natural aggregates in reinforced concrete (RC) production. However, concerns regarding reduced mechanical strength, increased porosity, and durability performance limit widespread structural adoption. This study investigates the structural behaviour of reinforced concrete beams incorporating varying proportions of recycled aggregates (0%, 25%, 50%, 75%, and 100%) as partial replacement of coarse natural aggregates. Experimental evaluation focuses on load–deflection response, ultimate load capacity, cracking behaviour, stiffness degradation, and failure modes under four-point bending. Results indicate that moderate RCA replacement (≤50%) produces marginal reductions in ultimate strength while maintaining ductile failure characteristics. Higher replacement ratios reduce stiffness and increase deflection due to weaker interfacial transition zones (ITZ). The study concludes that structural-grade RC beams with up to 50% recycled aggregate substitution can satisfy serviceability and strength requirements when mix design adjustments are properly implemented. These findings contribute to sustainable structural engineering practices and support circular economy integration within reinforced concrete construction.
| 12 |
Author(s):
Chirag Rawat.
Page No : 1-3
|
Online Mentor Connect
Abstract
Effective mentorship is crucial for both personal and professional development, but finding the right mentor tailored to one’s specific needs remains a challenge. "Online Mentor Connect" is a platform designed to bridge this gap by connecting mentees with mentors in a way that directly addresses their problems. Through a search-based system, mentees can discover mentors who specialize in the areas they seek guidance. The platform allows users to search for mentors based on keywords, problems, and fields of expertise, ensuring targeted, relevant connections. The system is built with an intelligent search and matching algorithm, offering mentees a curated list of mentors who can provide personalized advice and support. By focusing on problem-specific mentor discovery, this platform enhances the effectiveness of mentorship and provides a streamlined solution for individuals seeking guidance in their personal and professional challenges.
| 13 |
Author(s):
Emeka Chukwuka.
Page No : 1-3
|
A Comparative Performance Evaluation of Marshall and Superpave Mix Design Frameworks Using a Failed Road Case Study
Abstract
Premature rutting in flexible pavements remains a persistent challenge in urban infrastructure, particularly under increasing axle loads and elevated service temperatures. This study presents a performance-based investigation of a failed dual carriageway that developed rut depths exceeding 15 mm within three years of construction. The original asphalt mixture was designed using the Marshall method. A forensic reassessment was undertaken through renewed Marshall volumetric analysis and a theoretical Superpave-based performance evaluation.
Laboratory reassessment identified an optimum binder content of approximately 5.6% under Marshall criteria, whereas field records indicated a constructed binder content closer to 6.0%. Although Marshall optimisation could have reduced deformation risk, the absence of climate-adjusted binder grading and mechanistic performance validation contributed to premature rutting. The findings suggest that empirical volumetric design remains adequate for moderate traffic conditions but is insufficient for high-temperature, high-traffic urban environments without supplementary performance-based evaluation.
| 14 |
Author(s):
Engr. Emeka Chukwuka .
Page No : 1-3
|
Rheological and Performance Evaluation of Reclaimed Asphalt Pavement (RAP) in Flexible Pavement Construction
Abstract
reinforced Growing demand for sustainable infrastructure has intensified interest in recycled construction materials, particularly Reclaimed Asphalt Pavement (RAP). RAP offers environmental and economic advantages by reducing demand for virgin aggregates and bitumen; however, aged binder stiffening and reduced flexibility can increase fatigue and cracking susceptibility if not properly managed. This study presents a laboratory evaluation of asphalt mixtures incorporating RAP at replacement levels of 0%, 10%, 20%, 30% and 40%, with binder contents between 5.0% and 7.0%. Testing included conventional binder characterisation (penetration, softening point, flash and fire point), Marshall stability and flow analysis, volumetric evaluation (air voids, VMA and VFA) and microstructural/chemical assessment using SEM, XRD and XRF.
| 15 |
Author(s):
MELITA MOSES.
Page No : 1-3
|
Stock Market Volatility in the Banking Sector: A Comparative Study of SBI and Axis Bank
Abstract
Stock market volatility is an important indicator of financial market performance and investor confidence. The banking sector plays a crucial role in the economic development of a country, and fluctuations in banking stock prices often reflect changes in economic conditions. This study analyzes stock market volatility in the Indian banking sector with special reference to State Bank of India and Axis Bank. The research uses secondary data collected from stock exchanges, financial reports, and official company records over a ten-year period. Statistical tools such as mean, standard deviation, and correlation analysis are used to measure volatility and understand the relationship between the stock prices of the two banks. The results indicate that both banks experience fluctuations in their stock prices due to economic factors, banking reforms, and investor behavior. Axis Bank shows relatively higher volatility compared to SBI during certain periods. The study provides insights for investors, financial analysts, and policymakers regarding stock market risk and banking sector performance.
| 16 |
Author(s):
Manoj G.
Page No : 1-3
|
A study on AI-Driven Payment Personalization and Smart Payment Assistants
Abstract
Information technology, especially the Internet of Things and artificial intelligence, has been growing in the world, and increasingly many people use conversational assistants (CAs) and other intelligent virtual objects to monitor balances, send messages, pay, and track bank accounts or other financial assets. These intelligent systems optimize transaction processing through contextual awareness, adapting to individual user behaviors while maintaining robust security protocols. From hyper-personalized recommendation engines to conversational interfaces, these technologies create seamless payment experiences by predicting user needs, preventing fraud, and suggesting optimal payment methods. The architecture combines transactional, behavioural, contextual, and financial profile data through multi-layered processing pipelines, while privacy-preserving techniques like federated learning and differential privacy protect sensitive information. Integration with legacy payment infrastructure poses challenges due to architectural mismatches, yet adapter layers successfully bridge technological generations.
| 17 |
Author(s):
Sanjana Devi M, Pramodhini G S, Pvithra C K, Reddy Bhavana V, Dr. Navya V.
Page No : 1-3
|
ECO-SPRAY (WATER SPRINKLER ROBOT)
Abstract
The Plant Irrigation Water Sprinkler Robot System utilizes a mobile robotic platform equipped with a single sprinkler and an integrated water tank. As the robot moves across the field, it continuously sprays water, functioning like a moving irrigation unit that can cover large areas without the need for manual supervision. With the addition of geo-fencing sensors, the robot can navigate within predefined boundaries, ensuring that the entire field is efficiently irrigated without human intervention.
This project is mainly designed for agricultural use, allowing water to be sprayed using a remote- controlled robotic platform. It reduces manual effort, improves work efficiency, and can also be adapted for household gardening or lawn maintenance. The Eco-Sprinkler represents an innovative irrigation approach that supports water conservation and promotes environmentally sustainable watering practices.
| 18 |
Author(s):
Kevin Shiju .
Page No : 1-3
|
A Study on the Impact of Mobile Banking Application Usage on Customer Engagement and Satisfaction
Abstract
Abstract
This study examines the impact of mobile banking application usage on customer engagement and satisfaction using a secondary data-based analytical approach. With the rapid digitalization of banking services, mobile applications have become a primary channel for financial transactions and customer interaction. The study analyzes usage patterns based on transaction frequency, service adoption, and digital engagement indicators derived from industry reports, banking statistics, and existing literature. The findings indicate a strong association between increased mobile banking usage and higher levels of customer engagement, convenience, and service satisfaction. The study further highlights that ease of use, accessibility, and service efficiency play a critical role in shaping customer experience. The research contributes to digital banking literature by linking mobile application usage behavior with customer-centric outcomes in a technology-driven financial ecosystem.
Keywords: Mobile Banking, Customer Engagement, Customer Satisfaction, Digital Banking, Usage Patterns, Financial Technology
| 19 |
Author(s):
Akash Pawar.
Page No : 1-3
|
Robotics Education in Indian Schools
Abstract
Robotics education is increasingly recognised as a foundational component of 21st-century schooling, yet its integration into Indian secondary schools remains inconsistent and unevenly distributed. This paper surveys 25 school robotics coordinators across six Indian states on kit procurement, budget constraints, curriculum alignment, and learning outcomes. The study identifies a critical affordability gap: 68% of surveyed schools report that robotics kit costs are the primary barrier to broader program adoption. Analysis of available platforms reveals that cost-optimised specialist suppliers can reduce per-student kit costs from Rs 2,500–4,000 to Rs 800–1,500, enabling 2–3x expansion of program reach within existing school budgets. A practical curriculum integration roadmap is provided for CBSE and state board schools.
| 20 |
Author(s):
SmartXprokits.
Page No : 1-3
|
Made in India vs Imported STEM Kits
Abstract
The Atmanirbhar Bharat initiative and the Indian government's emphasis on self-reliance have prompted increased focus on domestically produced educational materials. This paper compares Made-in-India STEM kits against imported Chinese and Western alternatives across five dimensions: component quality, price-to-value ratio, tutorial support quality, delivery reliability within India, and curriculum relevance for Indian students. Analysis of 20 kits — 10 Indian and 10 imported — reveals that Made-in-India kits from specialist manufacturers now match or exceed imported alternatives on all five dimensions, while costing 35–55% less. SmartXProKits.in is examined as a benchmark case study of a Made-in-India STEM kit platform achieving quality parity with imports at significantly lower price points.
| 21 |
Author(s):
SmartXprokits.
Page No : 1-3
|
Emerging Trends in STEM Education E-Commerce in India, Market Growth, Consumer Shifts and Platform Evolution 2027–2030
Abstract
India's STEM education e-commerce market — encompassing robotics kits, science project kits, electronics components, and STEM learning tools — is projected to grow from an estimated USD 480 million in 2026 to USD 1.8 billion by 2030, driven by government policy, digital infrastructure expansion, and rising parental STEM awareness. This forward-looking analysis examines six key trends shaping the market through 2030: the rise of niche specialist platforms, 3D-
printed component supply chain maturation, institutional procurement digitalisation, vernacular content adoption, subscription kit models, and AI-guided kit recommendations. Market analysis suggests that platforms investing in niche depth, tutorial ecosystems, and institutional relationships today will disproportionately capture 2027–2030 growth.
| 22 |
Author(s):
Akash Pawar.
Page No : 1-3
|
Comparative Analysis of Online Electronics & STEM Kit Platforms in India
Abstract
This paper presents a comprehensive comparative analysis of six prominent online platforms operating in India's electronics, robotics, and STEM educational kit e-commerce sector. The platforms examined include Robu.in, MakerBazar.in, KitsGuru.com, STEMBazaar.in, HarishProjects.com, and SmartXProKits.in. Parameters evaluated include product range, pricing strategy, delivery infrastructure, customer satisfaction metrics, digital presence, and niche specialisation. Findings indicate that emerging platforms focused on 3D-printed robotic components and Made-in-India STEM kits demonstrate strong growth potential and superior value. The paper concludes with a market positioning matrix and purchasing recommendations for consumers, educators, and institutional buyers.
| 23 |
Author(s):
Mohamed atheel.
Page No : 1-3
|
ML Model Deployment On Aws
Abstract
Machine Learning (ML) model deployment on Amazon Web Services enables scalable, reliable, and real-time delivery of predictive insights. This process involves training models locally or in the cloud and deploying them using services like Amazon SageMaker, AWS Lambda, and Amazon EC2.
| 24 |
Author(s):
Mohammed Shihab A.H.
Page No : 1-3
|
Design and Implementation of a Web-Based Car Rental Application
Abstract
A web-based car rental application is designed to simplify and automate the process of renting vehicles online. The system allows users to browse available cars, check pricing, make reservations, and manage bookings through a user-friendly web interface.
| 25 |
Author(s):
Hanan Nissar Bhat.
Page No : 1-3
|
Urbanization vs Sustainability: Challenges In Indian Cities
Abstract
Urbanization in India has rapidly accelerated over the past few decades. It has transformed the country’s social, economic, and environmental landscape. While urban growth has significantly contributed to economic development, job opportunities, and infrastructure expansion, it has also led to serious sustainability challenges. Issues like air pollution, water scarcity, waste management, traffic congestion, and unplanned urban sprawl have worsened in major Indian cities.
This research paper looks at the complex relationship between urbanization and sustainability, focusing on key challenges that Indian cities face. It uses a qualitative research approach and analyzes five case studies: Delhi, Mumbai, Bengaluru, Chennai, and Hyderabad. The paper shows how rapid urban expansion often outstrips planning and resource management. The findings suggest that while efforts toward sustainable development are increasing, a significant gap remains between policy and implementation.
The study concludes that sustainable urbanization in India requires integrated planning, stronger governance, public participation, and adopting innovative technologies. Balancing growth with environmental protection is crucial for ensuring long-term urban resilience.
| 26 |
Author(s):
Hariharan B.
Page No : 1-3
|
E-Commerce platform with real time inventory management
Abstract
The rapid growth of online shopping has increased the demand for efficient and accurate inventory management systems in e-commerce platforms. Traditional inventory systems often suffer from delays in updating stock information, leading to issues such as overselling, stockouts, and poor customer satisfaction. This project presents the design and development of an e-commerce platform integrated with real-time inventory management to address these challenges.
| 27 |
Author(s):
Navaneethakrishnan. P.
Page No : 1-3
|
VEHICLE DIPPER LIGHT USING IoT
Abstract
Road safety during nighttime driving is often compromised due to improper usage of vehicle headlights, particularly the failure to dip high-beam lights when approaching oncoming traffic. Continuous exposure to high-beam glare can cause temporary blindness, leading to accidents and discomfort for drivers. This paper presents an IoT-based vehicle dipper light automation system that intelligently controls headlight intensity to ensure safe driving conditions. The system employs light sensors to detect the intensity of oncoming vehicle headlights and a microcontroller to process the sensor data. Using wireless communication, the microcontroller adjusts the vehicle’s headlight beam automatically, switching between high and low beams as required. Additionally, the system can transmit data to a cloud platform for monitoring and analysis, enabling further enhancements in smart traffic management. By reducing manual intervention and ensuring timely beam adjustment, the proposed system enhances driver safety, minimizes road accidents, and promotes responsible driving behavior. This IoT-enabled solution provides
| 28 |
Author(s):
Dr. Kinjal G. Jani.
Page No : 1-3
|
Malaria and the Epidemiological Triad: Strategic Pathways to Elimination in Gujarat, India
Abstract
Malaria remains a formidable public health and economic challenge in Gujarat, India, acting as a persistent barrier to regional productivity. Despite the national mandate for elimination by 2030, Gujarat presents a unique sub-national landscape defined by the intersection of rapid industrialization, diverse topography—from the arid Rann of Kutch to the tribal forest belts of the Dangs—and high internal migration. This paper utilizes the Epidemiological Triad—comprising the Agent (Plasmodium), the Host (Humans and Anopheles mosquitoes), and the Environment—to analyze the disease's persistence. The paper identifies significant hurdles, including insecticide resistance and the rise of asymptomatic carriers. However, it also highlights strategic opportunities: the use of GIS-based digital surveillance for real-time outbreak mapping, genomic surveillance to track parasite origins, and public-private partnerships to integrate private clinics into the reporting net. By disrupting the equilibrium of the triad through these targeted interventions, Gujarat can transition from a high-burden state to a global model for malaria elimination in a developing economy.
| 29 |
Author(s):
Dr. K. K. Patel .
Page No : 1-3
|
Strategic Financing of Healthcare in Gujarat: Navigating the Transition to Universal Health Coverage (2025–2026)
Abstract
Healthcare financing in Gujarat represents a sophisticated blend of public-private partnerships (PPP), state-funded insurance, and a rapidly expanding private medical sector. While the state serves as an economic powerhouse in India, it faces the dual challenge of addressing significant "Out-of-Pocket" (OOP) expenditure and ensuring equitable access across a diverse rural-urban divide. This paper examines the fiscal evolution of Gujarat's health sector, with a specific focus on the transition from the Mukhyamantri Amrutam (MA) Yojana to the integrated Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY). It analyzes the landmark 2025 policy shift that increased coverage to ₹10 lakhs and provided universal access to senior citizens (U70). Through a mixed-methods approach, the study identifies structural opportunities in digital health and fiscal hurdles in reaching the "missing middle" population. By evaluating the socio-economic dividends of a healthier workforce, the paper underscores the direct correlation between health security and the state's continued industrial GDP growth. Ultimately, this paper proposes a 'Gujarat-specific' co-contribution model as a viable financial roadmap for covering the informal labour sector, ensuring that the march toward Universal Health Coverage (UHC) is both inclusive and fiscally resilient."
| 30 |
Author(s):
priyadharshini k.
Page No : 1-4
|
Intelligent SOC Dashboard for Continuous Log Analysis and Incident Responses
Abstract
The rapid expansion of digital infrastructure has significantly increased the volume of security-related data generated by organizations. Every network device, server, firewall, and application continuously produces logs that record system activities, user behavior, and security events. Analyzing this enormous volume of log data manually is inefficient and increases the risk of missing critical cyber threats. Traditional security monitoring systems lack centralized visibility and intelligent automation, resulting in delayed detection and slow incident response. This paper proposes an Intelligent SOC Dashboard for Continuous Log Analysis and Incident Responses that integrates centralized log collection, real-time log processing, automated threat detection, and structured incident response into a unified platform. The system continuously monitors incoming logs, analyzes suspicious behavior patterns, and generates real-time alerts to support security teams in mitigating threats effectively. By providing an interactive and centralized dashboard interface, the proposed system enhances operational efficiency, improves threat visibility, and reduces response time, thereby strengthening the overall cybersecurity framework of organizations.
| 31 |
Author(s):
Dr. Rajesh Shrivastava.
Page No : 1-4
|
AI-POWERED SUSTAINABLE DEVELOPMENT IN INDIA
Abstract
Security Operations Centers (SOCs) represent the core defensive mechanism of modern enterprises facing increasingly sophisticated cyber threats. The digital transformation of organizations, cloud migration, remote workforce adoption, and interconnected systems have significantly expanded the attack surface. Consequently, real- time monitoring and rapid incident response have become essential for ensuring cybersecurity resilience. This survey provides an extensive academic analysis of real-time SOC architectures, including log management pipelines, SIEM correlation engines, SOAR automation frameworks, behavioral analytics, artificial intelligence integration, and structured incident response methodologies. Detailed discussion is provided on detection mechanisms such as rule-based correlation, signature matching, anomaly detection, machine learning classification, and User and Entity Behavior Analytics (UEBA). The study also evaluates operational limitations including alert fatigue, scalability constraints, compliance requirements, budget limitations, and shortage of skilled analysts. Emerging paradigms such as Zero Trust Architecture (ZTA), Extended Detection and Response (XDR), cloud-native SIEM, and predictive AI-driven SOC models are examined. The objective of this paper is to provide a detailed, humanized, research-oriented survey aligned with IJEDR publication standards.
| 32 |
Author(s):
Evin V Mathew.
Page No : 1-4
|
A Study on the Impact of Behavioural and Psychological Factors on the Usage of Mobile Trading Platforms Among Young Investors
Abstract
The growth of mobile trading platforms has significantly transformed investment practices among young stock market investors. With the increasing accessibility of financial markets through smartphones, trading behaviour is no longer influenced solely by rational analysis but also by behavioural and psychological tendencies. The present study examines the impact of behavioural and psychological factors—specifically optimism, overconfidence, and herding behaviour—on the usage of mobile trading platforms among young investors. Primary data were collected from 100 respondents using a structured questionnaire based on a five-point Likert scale. Statistical tools including reliability analysis and linear regression were applied using SPSS software. The findings reveal that behavioural and psychological factors do not significantly predict mobile trading platform usage. Although young investors exhibit behavioural tendencies, these factors do not have a statistically significant impact on how frequently or actively mobile trading platforms are used. The study concludes that technological convenience and accessibility may play a more dominant role in determining platform usage behaviour than psychological biases alone.
| 33 |
Author(s):
Engr. Emeka Chukwuka.
Page No : 1-4
|
Project Management as a Governance Intervention:
Abstract
Elections in fragile democracies are frequently characterised by logistical breakdowns, institutional mistrust, violence and administrative inefficiencies. The Nigerian 2023 General Election reignited longstanding debates concerning electoral credibility, risk exposure and governance capacity. This paper critically evaluates the extent to which structured project management frameworks could have strengthened the integrity, transparency and operational performance of the election.
| 34 |
Author(s):
Engr. Emeka Chukwuka MSc.
Page No : 1-4
|
Sustainable and Compliant Plasterboard Waste Management in UK Construction A Comparative and Critical Analysis of Waste Stream Performance within the Park Lane Redevelopment Project
Abstract
The UK construction industry generates approximately 120 million tonnes of waste annually, presenting significant environmental and regulatory challenges. Although concrete, timber and metals dominate by volume, plasterboard waste presents disproportionate environmental risk due to hydrogen sulphide generation under anaerobic landfill conditions. This study critically evaluates plasterboard waste management within the Park Lane Redevelopment Project in Central London and compares its regulatory complexity, environmental impact and circular economy potential with other major construction waste streams.
| 35 |
Author(s):
Indhumathi S .
Page No : 1-4
|
IMPACT OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE
Abstract
Artificial Intelligence (AI) has become an important technology in the modern digital world. It refers to machines and computer systems that can perform tasks that normally require human intelligence, such as learning, decision-making, and problem-solving. In the field of e-commerce, AI has brought major changes by improving customer experiences, business operations, and online security. This paper discusses the impact of Artificial Intelligence in e-commerce, focusing on areas such as personalization, customer service, inventory management, marketing, fraud detection, and future developments. The study highlights how AI helps online businesses grow while also addressing challenges related to privacy and ethical concerns.
| 36 |
Author(s):
Salai Ishwaryam S.
Page No : 1-4
|
STRATEGIES TO INTEGRATE ARTIFICIAL INTELLIGENCE TOOL USAGE AMONG CLIENTS: AN EMPIRICAL STUDY IN FINANCIAL SERVICES
Abstract
This study examines the determinants influencing AI tool adoption among clients of a full-service regional brokerage firm in India. Using primary data collected from active investors, the study analyses the impact of awareness, trust, social influence, ease of use, and technical literacy on perceived usefulness of AI tools. Statistical techniques, including correlation, ANOVA, chi-square, and regression analysis, were employed. Results indicate that the combined behavioural and technological factors significantly predict perceived usefulness, explaining 54.8% of the variance (R² = 0.548, p < 0.001). Client tenure shows a strong positive relationship with prior AI exposure (r = 0.705, p < 0.001), while demographic variables such as age, gender, and occupation show no significant influence. The study concludes that AI integration in financial services is primarily a behavioural and trust-driven challenge, and recommends hybrid human-AI advisory models, phased rollouts, and client education initiatives as key strategies for sustainable adoption.
Keywords: Artificial Intelligence, Client Adoption, Financial Services, Perceived Usefulness, Technology Acceptance, Brokerage Industry
| 37 |
Author(s):
Krishnaja. P.V1, Akshay Krishnan U.S2, S. Karthik Sundaram.3.
Page No : 1-4
|
ELECTROSPINNING AND FORMATION OF NANOFIBROUS WOUND HEALING MATERIAL BASED ON BIOPOLYMER
Abstract
ABSTRACT
In order to create the ideal microenvironment for effective tissue repair, wound dressings are crucial. An ideal dressing prevents microbial contamination of the wound, preserves moisture balance, permits gaseous exchange, absorbs excess exudate, and promotes extracellular matrix formation and cell proliferation. Appropriate dressing materials minimize pain, speed up healing, and prevent scarring in both acute and chronic wounds. However, there are a number of drawbacks to traditional wound dressings like cotton bandages and gauze. They frequently stick to the surface of the wound, inflict further damage when removed, retain moisture poorly, and provide little antimicrobial protection. difficulties in creating cutting-edge materials for wound dressings Key: One of the main challenges in creating materials for wound healing is striking the ideal balance between moisture retention and exudate absorption. The main obstacles may also include preventing microbial colonization without causing cytotoxicity, guaranteeing biocompatibility and non-immunogenicity, and offering adequate mechanical strength and flexibility. It's also crucial to enable controlled drug or bioactive agent released.
Keywords: Wound dressings, Tissue repair and regeneration, Moisture balance, Exudate absorption, antimicrobial protection, Biocompatibility, Controlled drug release.
| 38 |
Author(s):
Swati Kumari.
Page No : 1-4
|
AI-Based Multi-Criteria Decision-Making (MCDM) Models
Abstract
Complex environments tend to compel decision-making to consider a number of conflicting criteria at the same time. Multi-Criteria Decision-Making (MCDM) tools have been extensively applied to assist in facilitating structure decision-making in business management, engineering, healthcare, and the public policy arena. As the field of artificial intelligence (AI) is evolving rapidly, the conventional MCDM models are gradually being combined with machine learning, fuzzy logic, and evolutionary algorithms to enhance the accuracy and flexibility of decisions. MCDM models that utilize AI can help companies process large volumes of data, model uncertainty, and make complicated decisions through automation. In this paper, AI-based MCDM models and their uses in business and management decision-making are reviewed. The research points to the significant methods of artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid AI models. These results indicate that AI-based MCDM models can help to improve the quality and efficiency of the decisions considerably, but issues of model transparency, computational complexity, and data quality are also not negligible. The ways forward in future research involve creating explainable AI systems and hybrid intelligent decision support systems.
| 39 |
Author(s):
YADLA SYAM.
Page No : 1-4
|
AI-Based Smart Waste Management System for Sustainable Zero Waste Economy
Abstract
Artificial Intelligence (AI) has emerged as a powerful tool in transforming traditional waste management systems into intelligent,
efficient, and sustainable solutions. This study explores the role of AI in achieving a zero-waste economy by integrating smart
technologies such as machine learning, predictive analytics, Internet of Things (IoT), and automated waste sorting systems. The
research analyses the impact of AI adoption at different levels—high, medium, and low—on key performance indicators including
waste reduction efficiency, operational cost, recycling rate, and environmental sustainability.
Data collected from 280 smart city initiatives and waste management organizations indicates that higher AI integration signifi
cantly improves waste segregation accuracy, reduces collection costs, and enhances recycling efficiency. AI-driven systems enable
real-time monitoring of waste levels, optimize collection routes, and minimize environmental impact through reduced emissions.
Furthermore, the study highlights the role of AI in promoting circular economy practices by enabling resource recovery and waste
minimization.
Despite its advantages, the implementation of AI in waste management also presents challenges such as high initial costs, data
dependency, and technical limitations. This research provides a comprehensive understanding of both opportunities and challenges,
offeringvaluableinsightsforpolicymakers, environmentalplanners, andorganizationsaimingtobuildsustainablewastemanagement
systems.
Keywords: Artificial Intelligence, Waste Management, Smart Cities, Recycling, Sustainability, Zero Waste Economy
| 40 |
Author(s):
Akash Pawar.
Page No : 1-4
|
Why Indian Students Lose Science Fairs
Abstract
School science fairs remain among the most visible STEM assessment events in the CBSE and ICSE academic calendar, yet most students approach preparation with limited guidance on what judges actually evaluate. This paper analyses 300 science fair entries across 50 schools in Maharashtra, examining the correlation between preparation quality, project kit type, and judge evaluation scores. Analysis reveals that the top three causes of poor scores are: inadequate working model functionality (46%), inability to explain the underlying science (38%), and poor presentation quality (16%). Students using quality ready-made kits with tutorial support scored 22% higher on average and were 3x more likely to qualify for district-level competition. Practical preparation guidelines are provided for students, parents, and science teachers.
| 41 |
Author(s):
Mrs. Aditi Rohan Kulkarni.
Page No : 1-4
|
The study of “Cost-Benefit Analysis” of Multi-Products of selected Manufacturing Industries with special reference to Nashik Industrial Area
Abstract
A study entitled “The study of “Cost-Benefit Analysis” of Multi-Products of selected Manufacturing Industries with special reference to Nashik Industrial Area” was conducted. Objectives of the study included identifying current method of costing of individual product, identifying the current method of associating benefits for each product, identifying and analyze Non-Financial Cost and Non-Financial Benefits of each products, finding out method of doing the Cost-Benefit Analysis of each product at different stages of Product Life Cycle, testing the application of Product Life Cycle cost benefit method, and proposing a tool to calculate the cost of product. 400 multi-product manufacturing units (accounts manager) from Nashik district were surveyed through a survey questionnaire. Overall the study concludes that current costing methods are inappropriate for accurate ascertainment of cost and benefits associated with multiple products. They would benefit from a technique like activity-based costing.
| 42 |
Author(s):
Mohammed Ameer A .
Page No : 1-4
|
AI-DRIVEN PERSONAL FINANCE MANAGEMENT APP WITH PREDICTIVE SPENDING ANALYSIS
Abstract
This AI-driven application utilizes machine learning to analyze historical transaction data and provide predictive spending forecasts for enhanced budgeting and savings
| 43 |
Author(s):
Samapti Banerjee.
Page No : 1-4
|
Sukanti Dutta: An Unyielding Voice of Social Conscience in Contemporary Bengali Literature
Abstract
Abstract: Sukanti Dutta is a renowned Bengali writer of India in the modern times. He was born in the year 1965 in New Barrakpore, West Bengal. He is a prolific writer. For his enormous contribution in Bengali Literature he has been awarded The Somen Chandra Memorial award by the West Bengal Bengali Academy, Nillohit award, Bhasha-Shahid Barkat Memorial award etc. From the very early age he is profoundly interested in writing. His father has inspired him for writing and has fueled the fire of imagination in him. Sukanti Dutta is highly interested in music and performing arts. His lucid and simple language with the grave understanding of contemporary issues makes his literary works more acceptable to the readers. His deep insight of the facts makes people aware of the various societal themes. His writing presents the vivid pragmatic themes of the contemporary society. He deals with numerous topics of the present time. His realistic approach and reflective knowledge of the themes enrich the wisdom of his readers. His bold and fearless voice has raised against the evil practices of the society. He keenly observes the merits and demerits of modernization, industrialization and globalization and the consecutive impact on human lives and on the physical world. He expresses his genuine concern on the sustainability of the ecosphere, the perfect balance of ecosystem and the most vital theme of ecocriticism and urges humanity for the proper treatment of the Mother Nature who with utmost care nurtures the world. Nature and humanity are inseparable and interdependent so the modern anthropocentric actions must have reverence to the protecting shield of Natural world, disregarding which will ultimately cause calamities to the biodiversity and human civilization and the existences of lives in the world. So only for commercial profit people should not mercilessly exploit the natural surroundings for the sake of modernization, urbanization and industrialization.
| 44 |
Author(s):
Paul George Biju.
Page No : 1-4
|
A Study on Financial Inclusion through Digital Payments (UPI, AEPS)
Abstract
Financial inclusion has emerged as a central pillar of inclusive economic development, particularly in developing economies such as India. The integration of digital technologies with financial services has significantly transformed the accessibility, affordability, and efficiency of financial systems. Among the various digital innovations introduced in recent years, Unified Payments Interface (UPI) and Aadhaar Enabled Payment System (AEPS) have played a pivotal role in expanding financial access to millions of previously underserved individuals. This research paper examines the role of digital payment systems in promoting financial inclusion in India through a secondary data analysis approach.
The study relies on data collected from government publications, Reserve Bank of India reports, National Payments Corporation of India statistics, and various academic journals. The research explores how digital payment platforms have contributed to improving accessibility to banking services, particularly in rural and semi-urban areas. It also analyzes the growth trends of UPI and AEPS transactions and evaluates their impact on financial inclusion indicators.
The findings reveal that digital payment infrastructures have significantly improved financial participation among marginalized communities. UPI has revolutionized person-to-person and merchant payments by offering a simple, instant, and cost-effective platform. Meanwhile, AEPS has enabled individuals in remote areas to access banking services through biometric authentication, reducing dependency on traditional bank branches. The study concludes that digital payment technologies have strengthened financial inclusion but also highlights the need for improved digital literacy, cybersecurity awareness, and infrastructural development.
| 45 |
Author(s):
Dr.Niraj C. Chaudhari .
Page No : 1-4
|
Industry 5.0: Tracing the Journey and Shaping the Future
Abstract
Industrial transformation is fundamentally a socio-technical process that integrates both technological advancements and human factors. Industry 5.0 has recently emerged as a concept that emphasizes a human-centric approach to industrial development. It focuses on aligning technological innovation with the well-being of workers, societal needs, and sustainable practices, including efficient energy use, responsible material processing, and optimized product lifecycles. This study conducts a tertiary-level analysis of thirty-two existing literature reviews on Industry 5.0, supported by bibliometric insights derived from the Scopus database. The findings reveal that research on Industry 5.0 has evolved through three distinct phases since 2018, initially marked by its differentiation from Industry 4.0. Recent research trends highlight a growing emphasis on circular manufacturing approaches, driven by advanced, human-oriented digital technologies capable of predicting and addressing potential impacts proactively. Unlike Industry 4.0, Industry 5.0 adopts a broader, future-focused, and cross-sectoral perspective.From a theoretical standpoint, this paper synthesizes key insights from existing literature to provide a clearer understanding of the Industry 5.0 research landscape and outlines directions for future exploration. From a practical perspective, it identifies critical societal considerations that organizations should integrate into their digital transformation strategies, alongside the goal of enhancing economic performance.
Keywords: Industry 5.0, bibliometric analysis, tertiary study
| 46 |
Author(s):
Thallam Venkata Vidura Akshay, Akshat Agarwal, Nichenmetla Vigna Guna Sahas, Devansh Singhal, Krishna Reddy B.N.
Page No : 1-4
|
Application of Indian Knowledge Systems in Modern Business Dynamics: A Strategy and an Ethical Vision
Abstract
The contemporary business world is becoming increasingly complex, shaped by globalization, rapid technological change, and evolving societal expectations. Critics have long argued that purely profit-maximizing strategies neglect the ethical and social dimensions that sustain organizations over the long term. The relentless pursuit of short-run benefit frequently compromises long-run viability and community well-being.
Western corporate models, in particular, have faced scrutiny for their handling of environmental and social challenges, prompting a search for alternative paradigms. One compelling alternative is the Indian Knowledge System (IKS): rooted in ancient philosophy, IKS weaves together dharma (virtue), artha (ethical wealth), and karma (responsible action) into a unified worldview. These traditions hold that economic activity must not be a narrow, self-serving enterprise — it must aim at the betterment of the community, moral existence, and harmony with nature.
| 47 |
Author(s):
Dr. Niraj Chaudhari.
Page No : 1-4
|
Transforming Organizations through Efficient Operations Management
Abstract
ABSTRACT:
Operations Management (OM) refers to the organized process of planning, controlling, and supervising activities that transform inputs such as raw materials, labor, and technology into finished goods and services. Its primary objective is to create value for customers while ensuring the efficient use of available resources. This field of management focuses on designing, managing, and improving processes involved in production and service delivery.A key responsibility of operations management is to ensure that business processes are both efficient and effective—using minimum resources while meeting customer expectations. It involves managing the entire production system, where inputs are converted into valuable outputs in the form of goods or services. Operations management plays a crucial role across different sectors including healthcare, banking, manufacturing, and service industries. It requires coordination with suppliers, customers, and the use of modern technologies to improve productivity and service quality. As one of the core functions of an organization, alongside marketing, finance, human resources, and supply chain management, OM contributes significantly to overall organizational success. The function involves both strategic decision-making and day-to-day operational control. It includes planning, organizing, coordinating, and monitoring all resources such as people, equipment, information, and technology. Regardless of the size or type of organization, operations management remains central to delivering value and achieving organizational goals. Operational planning, an important aspect of OM, focuses on setting work standards, schedules, and processes required to implement an organization’s short-term objectives effectively.
Keywords:
Operations Management, Process Transformation, Organizational Performance, Product Development, Process Optimization, Strategic Management
| 48 |
Author(s):
Pradeep Palkar, Kaushal Kolse, Jayesh Khartode, Ghansham Gande.
Page No : 1-4
|
Design and Implementation of an Arduino-Based 2D Plotter Machine Controlled by Universal G-Code Sender (UGS)
Abstract
The design, development, and analysis of a precision XY plotter system that can use controlled mechanical motion to convert digital graphical inputs into physical representations are presented in this paper. Stepper motor-driven mechanisms are used to achieve positioning, and the system functions on the principle of coordinated displacement along two orthogonal axes. In order to drive actuators, a control unit decodes motion instructions encoded in standard command format and produces the appropriate electrical signals. Accurate trajectory tracking and repeatable output generation are made possible by the integration of electrical circuitry, mechanical transmission, and software processing. The study also looks at how the system behaves in terms of operational stability, synchronization, and resolution. The created system provides a useful framework for comprehending the real-world application of motion control systems.
| 49 |
Author(s):
Ajay.h.
Page No : 1-5
|
THE ROLE OF AI-IOT PLATFORMS IN ENHANCING COMPETITIVENESS OF SMEs IN MANUFACTURING SECTOR
Abstract
The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing the manufacturing industry by allowing small and medium enterprises (SMEs) to become more competitive in the market. Companies can now enjoy low operational costs, high product quality, and faster decisions thanks to these AI driven advancements. While AI analytics optimize production output, IoT smart devices enable monitoring and maintenance to be done in real time. In addition, AI IoT platforms improve logistics, resource distribution, and supply chain management. The implementation of these technologies encourages SMEs to innovate and allows them to compete with larger businesses. In addition, AI helps create personalized experiences for customers based on data and insights, which helps position businesses strongly in the market. Although there are many implementation obstacles, AI IoT solutions do provide great long-term sustainability. However, addressing issues such as investment barriers and cyber security is essential for broad acceptance. Future innovations will increase digital transformation in the manufacturing industry, thereby empowering SMEs even more. The successful implementation of AI-IoT depends on scalable and cost-effective solutions, workforce development, and the strength of cybersecurity measures.
Keywords: AI-IoT integration, SME competitiveness, smart manufacturing, cost-effective, cybersecurity.
| 50 |
Author(s):
Andrew Solomon w .
Page No : 1-5
|
AN EVALUATION OF THE EFFECTIVENESS OF CHATBOTS IN RESOLVING CUSTOMER COMPLAINTS
Abstract
The University, Bengaluru growing reiance on chatbots in cstomer service has sparked concerns
about their ability to effectively address customer complaints. This research seeks to assess the effectiveness
of chatbots in resolving customer grievances, focusing on key performance indicators such as response time,
resolution rate, and customer satisfaction. By combining survey data from chatbots users with insights from
customer support agents, the study reveals that while chatbots excel in resolving straightforward customer
complaints, they struggle with complex, emotionally charged issues that require human empathy and
judgment. The findings emphasize the importance of designing chatbots with a clear understanding of their
limitations and the need for human oversight to ensure effective customer complaint resolution. Ultimately,
this research provides valuable insights for businesses considering the implementation of chatbots technology
in their customer service operations.
| 51 |
Author(s):
Aditya Dubal.
Page No : 1-5
|
Bridging the Gap Between Climate Change and Air Quality: A Study on the Impact of CFCs and Gaseous Pollutants in the Delhi Megacity
Abstract
Delhi experiences chronic and extreme air pollution driven by a complex mixture of primary and secondary atmospheric pollutants, posing substantial environmental and public health risks. This study provides a comprehensive assessment of the impacts of chlorofluorocarbons (CFCs) in conjunction with major criteria pollutants-fine and coarse particulate matter (PM and PM10), nitrogen oxides (NOx), sulphur dioxide (SO₂), and troposphere ozone (0₂) on urban air quality and population health in Delhi.
Longitudinal air quality and exposure data were obtained from the Central Pollution Control Board (CPCB) and international datasets and were analyzed to evaluate temporal variability, seasonal exceed and compliance with national and World Health Organization (WHO) guidelines.
While direct CFC emissions have declined following regulatory controls, their long atmospheric residence time continues to influence stratospheric ozone depletion, indirectly enhancing surface-level ultraviolet radiation exposure and associated health risks.
Epidemiological evidence suggests a strong association between elevated pollutant concentrations and increased incidence of respiratory and cardiovascular morbidity, particularly among susceptible subpopulations. Annual mean PM.s concentrations in Delhi ranged between approximately 90-110 µg m, exceeding the WHO guideline value of 5 µg m³ by more than 18-22 times. Peak winter concentrations frequently surpassed 250 µg m³. PM2.5 consists of extremely fine particles that can penetrate deep into the respiratory tract, enter the bloodstream, damage blood vessels, and impair lung function.
| 52 |
Author(s):
Sravanthi Kanchi, Anshu Mekala, Esha Joseph, Shreeja Thumma.
Page No : 1-5
|
Theoretical Frameworks for AI, Smart Systems, and IoT in Healthcare
Abstract
The rapid integration of Artificial Intelligence (AI), Internet of Things (IoT), and smart systems has revolutionized the healthcare industry through improved clinical outcomes and operational efficiency. This document presents the theoretical frameworks that drive these technologies, with a focus on the Technology Acceptance Model and Diffusion of Innovation theory as the major drivers for adoption by medical staff and patients. The major findings reveal how AI and IoT can improve operational intelligence through real-time data analysis, predictive analytics for resource planning, and automated patient monitoring. However, the use of these systems requires effective ethical standards, including transparency, fairness, and addressing biases, as well as the use of advanced security features such as encryption and blockchain for effective security of patient data. Therefore, the effective development of "Hospital 4.0/5.0" depends on the development of AI competence among healthcare professionals as well as collaborative working between stakeholders in the provision of safe, fair, and effective care for all.
| 53 |
Author(s):
Sornalakshmi N.
Page No : 1-5
|
INFLUENCE OF CORPORATE SOCIAL RESPONSIBILITY ON FINANCIAL PERFORMANCE: AN ANALYTICAL STUDY OF MAHAVEER FINANCE INDIA LTD
Abstract
Corporate Social Responsibility (CSR) has emerged as an important strategic
practice that promotes sustainable business development and enhances
organizational reputation. This study examines the effect of CSR activities on the
financial performance of Mahaveer Finance India Ltd, a leading non-banking
financial company in India. The analysis focuses on the association between CSR
expenditure and selected financial indicators, including Profit Before Tax (PBT),
Return on Assets (ROA), Return on Equity (ROE), and liquidity ratios. The study
relies on secondary data obtained from the company’s annual reports, CSR
disclosures, and publicly available financial statements. Analytical tools such as
trend analysis and correlation analysis are employed to assess the relationship
between CSR initiatives and financial results. The findings indicate a positive but
moderate relationship between CSR practices and financial performance, suggesting
that CSR contributes primarily to long-term financial stability, stakeholder trust, and
sustainable growth rather than short-term profitability.
| 54 |
Author(s):
1. Rita Elizabeth Thomas, Student-MAHRM, WCC, 2. Dr. Carolin Golda.P, Asst.Professor, MAHRM, WCC, Chennai.
Page No : 1-5
|
A STUDY ON HR CHALLENGES IN MANAGING MULTIGENERATIONAL WORKFORCES AT HEALTHCARE CENTRE IN KERALA
Abstract
The widening reach of multigenerational workforce in a healthcare system is a presence of both
the opportunities and challenges for human resource management. There will be differences in
values and the communication approaches, which must be technologically adaptable and the
job expectations across the generational groups affect the workplace interactions and will help
in improving organizational efficiency. The research explores the influence of generational
diversity on workplace communication and determines how HR can contribute to the HR
related issues which are being encompassed in a hospital. The qualitative research approach
for employing primary data was gathered from 100 staff members who were working in the
hospital. The statistical told Richard conducted during the research was descriptive statistics,
Pearson correlation and regression which of the used for evaluating the suggested hypothesis.
Statistical tools results demonstrate appositives connection between the generational diversity
and workplace communication where in the generational variation can greatly impact on the
organizational culture and the teamwork. Regression analysis finding additionally depict that
Plays a crucial role in enhancing the workplace dynamics and our accountable for a
considerable amount of variance in organization performance. HR brings up the Changes which
must be adopted by the hospital for bringing up a better intergenerational mentoring and
flexible leadership method for overseeing workforces which includes the employees from
different generations. The research gives an overview on healthcare literature by offering an
empirical data and strategic perspectives on the know how the HR should manage the
multigenerational diversity for improving the organizational performance and for boosting the
employee’s engagement.
| 55 |
Author(s):
Kishore Kumar R.
Page No : 1-5
|
A Study on Analysing Customers Engagement in Digital Platforms with Reference to Thuditssia Industrial Expo
Abstract
The proliferation of digital platforms has significantly changed the manner in which organizations are able to communicate and interact with their stakeholders. This study aims to assess the dynamics of customer engagement in digital platforms in the context of an industrial association. The study is based on the need to understand user interactions and the effectiveness of digital communication strategies in the context of user engagement. Primary data were collected through a structured questionnaire among 140 participants involved in business and professional activities. The analysis shows the increasing importance of social media platforms in the dissemination of business-related information and events. It is evident from the findings that visually appealing and informative content is significant in grabbing the attention of the users and facilitating user interactions. Statistical analysis shows consistency in user interactions with different respondent groups. It is essential for organizations to develop structured digital communication strategies to improve user participation and the effectiveness of user engagement in a digital world.
| 56 |
Author(s):
Siya Saji1, Prannesh U R2, Divya R3, Umavathy R4 & A M Ramachandran5.
Page No : 1-5
|
Microbial and Enzymatic Degradation of Polylactic Acid (PLA) and Related Polyesters: Molecular Mechanisms, Marine Environmental Dynamics, and Biotechnological Innovations
Abstract
Polylactic acid (PLA) is one of the most commercially used biodegradable polymers produced from renewable biomass sources. Even though PLA can be composted under controlled industrial conditions. Still, it persists in marine and natural environments, continues to cause environmental concern. This review examines the microbial and enzymatic pathways responsible for the degradation of PLA and related polyester, focusing on the structural biology of polyester hydrolases, thermophilic depolymerases, marine microbial ecology, degradation kinetics, and strategies in recombinant enzyme development. Advanced analytical techniques, metagenomic screening platforms, and protein engineering approaches are examined to bridge laboratory insights with real-world biodegradation outcomes. The review synthesizes findings from over fifteen peer‑reviewed sources and identifies future directions for sustainable polymer management.
Keywords: Polylactic acid, polyester hydrolase, marine biodegradation, thermophilic depolymerase, protein engineering, microbial biotechnology.
| 57 |
Author(s):
Kanimozhi.S, Manjali V.M.
Page No : 1-5
|
A Study on Perceived Usefulness and Ease of Use of Instagram in Online Purchases: TAM Approach
Abstract
This research treats the issues that affect consumers' online purchasing intention on Instagram and as a result using Technology Acceptance Model (TAM). As social media commerce is rapidly growing, it is necessary to comprehend the impacts of perceived usefulness on perceived ease of use on consumer attitude and buying intention. The study is represented as a quantitative work with a structured questionnaire to be given to 150 Instagram users of the age of 18-35 years. The causal relationships that the study explores are between Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude toward Use (ATT), and Purchase Intention (INT). Analysis of data was done in terms of descriptive statistics, reliability test, correlation and regression analysis. The results show that perceived ease of use is an important determinant of perceived usefulness and attitude to Instagram shopping. The attitude and perceived usefulness were established to influence purchase intention in a strong positive manner. The findings support the relevance of TAM in providing an understanding of consumer behaviour in Instagram-based online shopping. The research adds to the social media marketing literature as it offers empirical data in the form of the effect of platform usability and perceived benefits in influencing consumer buying decisions.
| 58 |
Author(s):
Vishnu Prasanth A , Harshini C .
Page No : 1-5
|
Smart IoT-Enabled Milk Quality Analysis and Automated Billing System
Abstract
The dairy sector in India faces persistent challenges such as manual milk quality assessment, lack of pricing transparency, and inefficient record management at collection centers. To address these issues, this paper presents a Smart IoT-Enabled Milk Quality Analyzer and Automated Billing System that integrates embedded sensing technology with digital communication and database management. The system uses an ESP32 microcontroller interfaced with a load cell (HX711), pH sensor, TDS/EC sensor, and DS18B20 temperature sensor to measure key milk quality parameters including fat percentage, Solids-Not-Fat (SNF), protein content, pH value, electrical conductivity, and total weight. The collected data is processed and stored in a centralized MySQL database and visualized through a Python-based Tkinter administrative dashboard for efficient monitoring and management. An automated billing system calculates payments based on configurable daily rate parameters, while a SIM800L GSM module sends real-time SMS notifications to farmers containing detailed test results and payment information. Field validation shows that the system achieves acceptable accuracy compared to commercial analyzers, completing the entire testing and billing process in under 60 seconds. With an estimated cost of INR 5,000–9,000, the proposed system is affordable, portable, and scalable, making it highly suitable for rural dairy environments and capable of improving transparency and efficiency in milk procurement processes.
| 59 |
Author(s):
J ABHISHEK.
Page No : 1-5
|
A Study on Recruitment and Selection Practices in an Organization
Abstract
Recruitment and selection (R&S) are pivotal processes for organizations to secure a
continuous influx of qualified personnel, essential for achieving organizational objectives.
Employees play a vital role in translating plans into tangible outcomes. The approaches to
R&S can vary based on the organization's nature and industry. Service-oriented sectors
typically require more personnel compared to manufacturing industries. Consequently,
companies engage in R&S activities to onboard new employees or advance existing ones,
ensuring internal competitiveness. This study delves into R&S as a critical component of the
Human Resources (HR) department, concentrating on the R&S process, sourcing strategies,
factors influencing R&S in contemporary companies, and novel challenges faced by HR
departments in making hiring decisions. R&S is a multifaceted process necessitating
comprehensive knowledge of both internal and external organizational facets before
determining the optimal approach. Furthermore, recruitment determinations by HR teams are
influenced by theories such as attribution theory and turnover theory. The evolving landscape
has diminished the emphasis on academic qualifications during recruitment, with artificial
intelligence exerting an increasing influence on the quality of new hires. Employing a
deductive approach to R&S enables companies to attract candidates whose skills align with
their staffing requirements.
| 60 |
Author(s):
G. Janaki, R. Sarulatha.
Page No : 1-5
|
Parameterized Integer Solutions of Quaternary Quadratic Diophantine Equation
Abstract
Diophantine equations seek integer solutions to polynomial equations, encompassing linear forms to intricate nonlinear systems that underpin classic and contemporary mathematical challenges [1,2,8,9,11]. Quadratic Diophantine equations in multiple variables hold particular attention, as solving them uncovers links between algebra and number patterns, often yielding practical ways to generate solutions [3-7,10,12-15]. Building upon prior investigations into quaternary quadratic Diophantine equations where solutions vary widely based on parameters.
| 61 |
Author(s):
Madhumitha R .
Page No : 1-5
|
An Integrated Mobile Application for Agricultural Schemes, Weather Forecasting, and Fertilizer Prediction
Abstract
The growing demand for technology-driven farming has prompted the development of intelligent digital platforms to support farmers in effective decision-making. This paper presents an integrated web-based Smart Agriculture Assistance Application that combines agricultural scheme information, weather forecasting, and soil-based fertilizer recommendations into a unified digital platform. The system provides comprehensive details about central and state government agricultural schemes, including eligibility criteria, benefits, and application procedures, enabling farmers to make informed financial and developmental decisions. The weather forecasting module retrieves historical climate data and generates accurate five-day predictions using a trusted meteorological API. A key feature is the Fertilizer Recommendation Module, which employs the Decision Tree algorithm to analyze soil nutrient content—Nitrogen, Phosphorus, and Potassium—and recommends the most suitable fertilizer type and optimal application quantity. The application is developed using HTML, CSS, JavaScript for the frontend and Python-Flask for the backend, offering a practical and accessible decision-support tool aimed at enhancing agricultural productivity and sustainability.
| 62 |
Author(s):
Singaraj M.
Page No : 1-5
|
AUTOMATIC HIVE PROTECTION SYSTEM
Abstract
Beekeeping is an important agricultural activity because honey bees help in pollination, increase crop yield, and support the environment. However, honey bees are very sensitive to environmental changes, especially rainfall and excess moisture. When rainwater enters the beehive, it causes wet conditions, increases humidity, and leads to fungal growth, reducing honey production and possibly causing colony death. This project proposes an automatic rain protection and ventilation system for beehives using a rain sensor, ESP32 microcontroller, servo mechanism, and exhaust fan. When rain is detected, the ESP32 automatically activates a motor to close a protective cover over the hive. The exhaust fan maintains proper airflow to prevent heat and humidity buildup. The system operates autonomously on low power, making it suitable for rural and remote areas. By combining traditional beekeeping with modern sensor-based technology, this project protects bee colonies, reduces beekeeper labor, and improves overall hive safety and honey production.
| 63 |
Author(s):
Safia W, Dr P Shanmugha Priya.
Page No : 1-5
|
A STUDY ON EXPLORING THE SCOPE AND OPPORTUNITIES IN MSME FINANCING IN INDIA
Abstract
Micro, Small, and Medium Enterprises are the backbone of the Indian economy, contributing substantially to employment, GDP, manufacturing, and exports, but are facing a number of issues in availing bank finance due to a shortage of collateral, complex procedures, and a lack of awareness of government schemes such as PMMY, CGTMSE, and Stand-Up India. This study aims to assess the level of awareness, bank finance accessibility, financial literacy, major issues, satisfaction level, and future requirements of MSME owners through a survey of 160 respondents, focusing on demographic factors such as business age and revenue. The use of descriptive-inferential design with multiple regression analysis to examine the data establishes that awareness and accessibility are positive predictors of financial literacy, despite their negative relationship with income level. Managerial implications of this study for banks are to increase their awareness campaigns, improve accessibility of online lending options such as Jan Samarth and TReDS, and create AI tools for credit scoring to promote economic growth, particularly for women entrepreneurs in the service sector of micro enterprises in India.
| 64 |
Author(s):
Vignesh S.
Page No : 1-5
|
A Smart Traffic-Aware Routing Protocol for Safety Enhancement in VANETs
Abstract
This paper proposes a smart traffic-aware routing protocol for Vehicular Ad Hoc Networks (VANETs) to improve road safety and communication efficiency.
By using real-time traffic data such as vehicle speed, density, and position, the protocol reduces congestion, delay, and packet loss while ensuring reliable delivery of safety messages.
| 65 |
Author(s):
Dr.Niraj C. Chaudhari.
Page No : 1-5
|
Transforming Supply Chains with Artificial Intelligence: A Short Review
Abstract
The emergence of Industry 4.0, combined with the rapid advancement of Artificial Intelligence (AI), is significantly reshaping supply chain management (SCM). These technologies are enhancing operational efficiency, strengthening resilience, and supporting more informed strategic decision-making. This study presents a detailed review of AI applications across major supply chain functions, including customer relationship management, inventory control, transportation systems, procurement, demand prediction, and risk assessment. AI techniques such as machine learning, natural language processing, and generative models are enabling organizations to optimize logistics operations, minimize uncertainties, and improve forecasting accuracy. Alongside these benefits, the study also examines key challenges associated with AI adoption, including technical complexity, organizational preparedness, and ethical considerations. Furthermore, it highlights the importance of AI in improving transparency and adaptability within supply chains, particularly during periods of disruption and global uncertainty. Looking ahead, emerging trends point toward the development of human-centered AI systems, greater levels of digital integration, and increased attention to ethical and data security issues. The study concludes that AI will play a crucial role in developing more sustainable, adaptive, and resilient supply chains, while also outlining potential directions for future research and practical implementation.
Keywords: Artificial Intelligence, Supply Chain Management, Industry 4.0, Digital Transformation, Strategic Decision-Making
| 66 |
Author(s):
A. Sanjay .
Page No : 1-5
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A STUDY ON CUSTOMER AWARENESS ON DIGITAL PAYMENT METHODS AT HILTI INDIA PRIVATE LIMITED
Abstract
Digital payment systems refer to financial transactions that are carried out electronically without the use of physical cash. These payments are made through various digital platforms such as mobile banking, internet banking, debit cards, credit cards, QR codes, and digital wallets. Digital payments allow individuals and businesses to transfer money quickly, securely, and conveniently using electronic devices like smartphones, computers, or payment terminals.
In recent years, digital payment systems have become an essential part of modern commerce because they simplify the payment process and improve transaction efficiency. Customers can make payments anytime and anywhere, which increases convenience and saves time. Businesses also benefit from digital payments because they reduce cash handling, improve financial record-keeping, and enhance transaction transparency.
In organizations such as Hilti India Private Limited, digital payment systems play an important role in improving customer service and operational efficiency. By offering multiple digital payment options, the company can provide a smooth purchasing experience for customers and ensure faster and more secure transactions. As technology continues to advance, digital payment systems are expected to grow further and become a key component of modern business operations.
| 67 |
Author(s):
Dr. Surbhi Pandit, Dr. Vaishali Sharma.
Page No : 1-5
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The Evolution of Forensic Accounting in the Age of Digital Innovation
Abstract
Despite India’s remarkable economic growth, positioning it as one of the fastest-growing major economies globally, the rapid expansion of commercial activities has simultaneously increased its exposure to fraud. The COVID-19 pandemic and the subsequent recovery phase have significantly reshaped the country’s fraud risk landscape, particularly due to accelerated digital transformation. As highlighted in the Financial and Cyber Fraud Survey Report 2024, there has been a substantial rise in fraud incidents impacting businesses across various sectors.
| 68 |
Author(s):
Dr. E. Karthika, Mrs. T. Maheswari, Ms. M. Rithanya, Mr. S.S. Sabarish, Ms. K. Praganyasri.
Page No : 1-6
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STUDY OF INSTORE AND DIGITAL ORDERING EXPERIENCES AMONG STUDENTS ENGAGEMENT WITH KFC IN COIMBATORE.
Abstract
ABSTRACT
The present study titled Study of In-Store and Digital Ordering Experiences among Students Engagement with KFC in Coimbatore examines the preferences, satisfaction levels, and engagement patterns of students while ordering food through in-store and digital platforms. With the rapid growth of digital technology and online food delivery services, consumer behavior particularly among students has shifted significantly from traditional counter ordering to mobile applications and online platforms.
The study focuses on understanding factors such as convenience, waiting time, ease of payment, service quality, accuracy of orders, and overall satisfaction influencing students’ choice between in-store and digital ordering methods. Primary data were collected from students in Coimbatore through a structured questionnaire, and statistical tools such as percentage analysis, Chi-square test, correlation were used to analyze the data.
The findings reveal that while digital ordering is preferred for its convenience and time-saving benefits, in-store ordering continues to attract students due to ambiance, social interaction, and immediate service experience. The study provides insights into student engagement behavior and offers suggestions to enhance customer satisfaction and improve service strategies for better engagement. Overall, the research highlights the importance of integrating both digital and in-store experiences to strengthen brand loyalty and customer retention among students in Coimbatore.
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Author(s):
Pavithra.S.
Page No : 1-6
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A STUDY ON DIGITAL ACCOUNTING SYSTEM AND THEIR ROLE IN ENHANCING BUSINESS EFFICIENCY
Abstract
In recent years, businesses have increasingly adopted digital technologies to improve their
operational efficiency .Accounting being a core business function , has also undergone
significant transformation through digitalization .Digital accounting system replace traditional
manual accounting methods with computerized and cloud –based solutions . This study aim to
analyze digital accounting system and examine their role in enhancing business efficiency .The
study highlights how digital accounting improve accuracy ,saves time, reduce cost ,and support
better decision making in organization
| 70 |
Author(s):
Ms Puskala Srilekya B.
Page No : 1-6
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The Impact of Artificial Intelligence on Modern Recruitment Practices
Abstract
The integration of Artificial Intelligence (AI) has revolutionized the recruitment landscape,
introducing automation, predictive analytics, and data-driven decision-making to streamline
hiring procedures. This study assesses the impact of varying levels of AI implementation—
high, medium, and low—on recruitment efficiency, cost reduction, employee retention, and
diversity in the workforce. By analysing data from 300 organizations through comparative
and statistical methods, researchers have unveiled that higher AI utilization results in
expedited hiring processes, reduced recruitment expenses, enhanced employee retention
rates, and a more diverse workforce. Statistical analyses affirm that AI serves as a pivotal
tool in enhancing recruitment performance, positioning it as a critical asset for human
resources functions. Amidst today's competitive and technology-centric environment,
numerous organizations are turning towards AI to optimize their recruitment processes.
This study delves into diverse AI technologies, such as machine learning, natural language
processing, chatbots, and predictive analytics, and their application across various
recruitment stages, from resume screening to candidate evaluation. While AI facilitates
accelerated hiring, increased efficiency, and improved candidate experience, it also raises
concerns regarding fairness, algorithmic bias, privacy issues, and reduced human
involvement in decisionmaking. Employing a qualitative approach, the research
incorporates literature reviews, expert interviews, job seeker surveys, and case studies to
compare AI-driven recruitment with traditional methods, evaluating their efficacy and
ethical implications. The study aims to present a comprehensive perspective on both the
advantages and challenges of AI integration in recruitment, offering practical insights for
HR professionals, organizations, and policymakers to foster responsible and effective AI
deployment in recruitment practices
| 71 |
Author(s):
Dr. Vinay Kumar Singh.
Page No : 1-6
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Role of Bioinformatics Tools and Techniques in the Identification of Agro-Economically Important Genes in Clitoria ternatea Using Glycine max as a Model Crop
Abstract
The integration of bioinformatics in plant genomics has accelerated the identification of genes responsible for agronomically important traits. Clitoria ternatea (butterfly pea) is an economically valuable leguminous plant known for medicinal, ornamental, and nutraceutical properties, while Glycine max (soybean) serves as a well-studied model crop with extensive genomic resources. Comparative genomics and bioinformatics tools enable the identification of homologous genes between these species, facilitating the discovery of genes associated with stress tolerance, yield, and secondary metabolite production. Tools such as sequence alignment programs, genome annotation platforms, and functional genomics databases play a crucial role in this process. This paper discusses key bioinformatics tools, databases, and computational approaches used for identifying agro-economically important genes in C. ternatea using G. max as a reference model. The rapid development of genomic technologies and computational biology has significantly advanced the identification of agriculturally important genes in plants. Bioinformatics plays a crucial role in analyzing large-scale genomic datasets and predicting gene functions through comparative analysis and sequence annotation. Clitoria ternatea, commonly known as butterfly pea, is an economically important leguminous plant with medicinal, ornamental, and nutritional value. However, genomic information for this species has historically been limited. Recently, the availability of transcriptome shotgun assembly (TSA) and whole genome shotgun (WGS) sequence datasets for Clitoria ternatea in public databases has created new opportunities for gene discovery and functional analysis. Comparative genomics using well-characterized model crops such as Glycine max (soybean) provides an effective strategy for identifying genes associated with important agronomic traits. Soybean possesses a well-annotated genome and extensive genetic databases, making it suitable for identifying orthologous genes in related legumes. Bioinformatics tools such as sequence alignment algorithms, gene prediction software, genome annotation platforms, and functional analysis databases are widely used to identify candidate genes responsible for traits such as stress tolerance, nitrogen fixation, growth regulation, and secondary metabolite biosynthesis. This study highlights the role of computational tools and publicly available genomic resources in identifying agro-economically important genes in Clitoria ternatea through comparative analysis with soybean. The integration of bioinformatics techniques with plant genomics can accelerate crop improvement programs, enhance understanding of plant metabolic pathways, and support sustainable agricultural development.
| 72 |
Author(s):
Sujal Wadhankar .
Page No : 1-6
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AI powered smart waste management system
Abstract
Urban growth and population surges strain traditional waste management, causing bin overflows, spills, odors, pollution, and health risks from manual checks and fixed schedules. This study presents a camera-free AI-IoT system for real-time garbage and spill detection using edge sensors: ultrasonic/IR/weight/gas in smart bins and moisture/conductivity units in high-risk areas like hallways, restrooms, and wards—all geo-tagged via GPS. Data streams via Wi-Fi/LoRaWAN/GSM to a cloud platform, where ML identifies anomalies, predicts overflows, optimizes routes, and alerts nearby staff. An admin dashboard enables live monitoring, task management, analytics, and predictive maintenance, delivering a scalable solution for cities, campuses, hospitals, and transit hubs that cuts costs, boosts hygiene, reduces labor, preserves privacy, and supports sustainable urban environments.
| 73 |
Author(s):
Animesh Kushwaha, Madeeha Laiq, Kuldeep Patel.
Page No : 1-6
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A Simulation-Based Energy Evaluation of Processing-in-Memory for CNN Workloads
Abstract
The rapid adoption of deep learning models, especially convolutional neural networks (CNN), has significantly increased the computational and memory requirements in modern computing systems. Resource- constrained environments such as edge devices and embedded systems face serious challenges in efficiently handling these workloads due to limited energy budgets and memory bandwidth restrictions. Traditional computing systems based on the von Neumann architecture suffer from excessive data movement between the processor and memory, leading to high energy consumption and latency.
This paper presents an analytical and simulation-based energy evaluation of a processing-in-memory (PIM) design for CNN estimation. The proposed framework models computation cost, memory access cost, and total energy consumption for both conventional and PIM-based architectures. Experimental results show that the proposed PIM design reduces memory- related energy consumption by up to 45% for memory-intensive CNN workloads. The findings highlight the potential of in- memory computing as a viable architectural solution for energy- efficient AI inference in constrained systems.
| 74 |
Author(s):
Roshini Timina Angel D / Ms. Anita Sharon. A .
Page No : 1-6
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The role of employee-organizational fit in enhancing employee engagement & reducing turnover
Abstract
This study was examined how employee organizational fit influences employee engagement & turnover intention at the organization. A leading company from automobile industry is the competitive workforce was fast changing business environment are increasingly concerned about retaining employees & improving their level of engagement. The employee organizational fit which an employee’s value, skills & expectations match with the company culture goal & working practices. The main focus of this research is to understand how this alignment affects employee engagement levels & their intention to continue working in the organization. The study analyses the relationship between employee organizational fit through employee engagement & turnover intention. They tend to be more engaged in their work & show lower intentions to leave. There emphasizes the importance of recruiting employees whose values align with the organization were providing effective onboarding programs & maintaining a supportive work culture. The automobile industry was contributed through organizations to improve employee retention & overall organizational.
Key Words: Employee organizational fit, Employee Engagement, Turnover Intention, Employee Retention, Organizational Culture, Value Alignment, Workforce stability.
| 75 |
Author(s):
Muruganadham S.
Page No : 1-6
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COCOASSIST AUTO FEDER: AN AUTOMATED COCONUT FERTILIZER APPLICATION SYSTEM
Abstract
Coconut cultivation remains a vital agricultural activity in tropical regions, yet fertilizer application around coconut trees still depends heavily on manual labor. Traditional practices involving pit digging, fertilizer placement, and soil covering are labor-intensive, time-consuming, and often inconsistent due to human error and workforce shortages. This project addresses these limitations by developing an automated prototype capable of performing all stages of fertilizer application in a controlled and efficient manner. The prototype integrates mechanical hardware, electronic control systems, and embedded programming to automate the digging, dispensing, and covering operations. A high-torque auger creates the pit, a servo-controlled hopper dispenses fertilizer based on user-defined dosage, and a motorized brush completes soil covering. These components are governed by a microcontroller programmed for precise timing and sequential actuation. The model was constructed using lightweight materials, DC motors, a motor driver, a servo motor, and an Arduino controller. Testing of individual subsystems and the fully integrated system demonstrated consistent pit formation, accurate fertilizer release, and effective soil coverage. The outcomes confirm that automating fertilizer application can reduce labor requirements, improve dosage accuracy, and enhance the overall efficiency of coconut plantation management.
| 76 |
Author(s):
SARANYA K.
Page No : 1-6
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A STUDY ON THE ROLE OF BANKS IN PROMOTING RETAIL BANKING INVESTMENT PRODUCTS WITH SPECIAL REFERENCE TO INDIAN OVERSEAS BANK
Abstract
Retail banking has become a key driver in the growth of the financial sector by offering a wide range of investment products to individual customers. These products include fixed deposits, mutual funds, insurance policies, recurring deposits, and pension schemes, which help customers achieve their financial goals and ensure future security. This study focuses on analyzing the role of banks in promoting retail banking investment products, with special reference to Indian Overseas Bank. The research aims to examine the level of awareness among customers, their perception towards investment products, and the factors influencing their investment decisions.
The study also highlights the importance of digital banking, financial literacy, and promotional strategies adopted by banks to attract and retain customers. It further evaluates how effectively banks communicate investment-related information and provide advisory services. The findings of the study indicate that while banks have made significant efforts in promoting investment products, there is still a lack of awareness and understanding among certain sections of customers. Factors such as risk perception, income level, and trust in banks play a crucial role in shaping investment behavior.
The study concludes that banks need to focus more on customer education, simplified procedures, and personalized financial services to increase participation in investment products. Strengthening digital platforms and improving customer engagement can further enhance the effectiveness of retail banking services.
Keywords: Retail Banking, Investment Products, Customer Awareness, Financial Literacy, Digital Banking, Indian Overseas Bank
| 77 |
Author(s):
Ram Koushik Reddy Ankinapalli.
Page No : 1-6
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Key Factors Shaping Digital Marketing Strategies for MSMEs: A Study
Abstract
MSMEs have played a significant role in India’s economic growth, but there are many factors, both internal and external, which impact their ability to effectively utilize digital marketing. This study aims to explore the main factors affecting MSMEs, especially in Mysore district’s digital marketing strategy, taking into account the updated MSME classification framework of 2025, etc. Quantitative study methodology is used, where structured questionnaires were employed to collect primary data, while techniques such as Principal Component Analysis (PCA) and ANOVA were employed.
The results indicate that marketing resources and support, consumer-centric innovation, digital vs. traditional orientation, and post-pandemic effects are the four major factors that influence digital marketing tactics. These variables, when combined, explain a substantial amount of variance in the strategic behavior of MSMEs. The findings of the study also indicate that, unlike digital adoption, consumer behavior is of extremely low influence, but financial resources, government regulations, and post-pandemic effects are of great importance. No statistically significant differences in the characteristics of MSMEs across manufacturing, service, and trading sectors exist, as confirmed by the results of the ANOVA test.
The study concludes that the improvement of digital awareness, the expansion of the reach of government support programs, and the strengthening of organizational capacities are vital for the enhancement of the competitiveness of MSMEs. It highlights the importance of the development of inclusive digital policies and capacity-building programs for the effective and sustainable development of MSMEs.
| 78 |
Author(s):
Purushothaman M, M Manoj Kumar.
Page No : 1-6
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A STUDY ON PERSONAL FINANCIAL PLANNING AMONG EMPLOYEES
Abstract
In recent years, personal financial planning has gained significant importance as individuals face increasing financial responsibilities and economic uncertainties. This study focuses on examining the level of understanding of personal financial planning among employees and analysing the relationship between financial literacy and their financial planning practices. It also aims to identify the various factors that influence personal financial behaviour among working individuals.
The research adopts a descriptive research design to provide a clear picture of employees’ financial awareness and practices. A convenience sampling method was used, and data was collected from 114 respondents. The study is based on both primary and secondary data. Primary data was gathered through a structured questionnaire distributed to employees, while secondary data was obtained from internet sources, existing publications, and scholarly works.
Various statistical tools such as percentage analysis, ANOVA, correlation, chi-square test, and weighted average mean (WAM) were used to analyse the data and interpret the results. The findings of the study are expected to provide insights into employees’ financial literacy levels and their impact on financial planning decisions, thereby helping in understanding the need for improved financial education and awareness.
| 79 |
Author(s):
M.Deviroshini.
Page No : 1-6
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A study on the impact of the employee when this programme on productivity and job satisfaction in jubilant foodwork
Abstract
A study on the impact of the employee when this programme on productivity and job satisfaction in jubilant foodwork
| 80 |
Author(s):
Sanjay C.
Page No : 1-7
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Advances in Diagnosis and Alternative Therapeutic Strategies for Bovine Mastitis
Abstract
Bovine mastitis remains a major challenge in dairy farming, causing substantial economic losses through reduced milk yield and quality. Recent progress emphasizes rapid diagnostic tools and non-antibiotic therapies to combat rising antimicrobial resistance. Traditional methods like somatic cell counts via California Mastitis Test (CMT) and bacterial cultures offer reliable on-farm screening, while advanced techniques such as PCR, MALDI-TOF mass spectrometry, and biosensors enable precise pathogen identification for timely intervention.
Therapeutic management has shifted toward alternatives like probiotics, plant-derived essential oils, bacteriocins, and phage therapy, which show anti-inflammatory and antimicrobial potential without promoting resistance. Genetic selection for udder health resistance further supports prevention alongside hygiene and stewardship programs.Integrated strategies combining diagnostics, novel treatments, and economic assessments promise sustainable control. Future efforts should prioritize field trials and molecular innovations to enhance dairy productivity.
Keywords: Bovine mastitis, diagnostic advances, alternative therapies, antimicrobial resistance, udder health
| 81 |
Author(s):
Mrudula V Raman.
Page No : 1-7
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A STUDY ON EMPLOYEES’ ATTITUDINAL ASSESSMENT OF HR FUNCTIONS
Abstract
In recent years, Human Resource Management has assumed an increasingly strategic role in shaping employee attitudes and enhancing organizational effectiveness. Employees’ perceptions towards HR functions significantly influence their level of job satisfaction, motivation, and overall engagement within the workplace. Understanding these perceptions enables organizations to evaluate the effectiveness of their HR practices and identify areas for improvement.The present study titled “A Study on Employees’ Attitudinal Assessment of HR Functions” aims to examine employees’ perceptions towards recruitment and selection practices, analyse the relationship between HR functions and job satisfaction, and observe employees’ attitudes towards performance management. The study adopts a descriptive research design, and a convenience sampling method was used to collect data from 117 respondents. Both primary and secondary sources of data were utilized for the study.Primary data was collected through a structured questionnaire administered to employees, while secondary data was obtained from scholarly publications, internet sources, and other relevant academic materials. For the purpose of analysing the collected data, statistical tools such as percentage analysis, ANOVA, correlation, and regression analysis were employed.The findings indicate that employees generally hold favourable perceptions towards the organization’s HR practices, particularly in areas related to recruitment communication, fairness in the selection process, and clarity in performance evaluation. The results also reveal a significant relationship between HR practices and employees’ job satisfaction, emphasizing the importance of effective HR functions in fostering positive employee attitudes within the organization.
Keywords: Human Resource Management, Employee Perception, Recruitment and Selection Practices, Performance Management, Job Satisfaction, Organizational Effectiveness.
| 82 |
Author(s):
Ranjani C.
Page No : 1-7
|
AQUA DEEPAI Powered ARGO Oceanographic Data System
Abstract
This research paper introduces AquaDeep, an artificial intelligence-powered ocean monitoring platform designed to analyze complex marine telemetry and predict environmental variables in real-time. Since critical indicators like temperature, salinity, and pressure are essential for monitoring climate change and ecosystem health, this study addresses the accessibility gap caused by traditional, manual processing of large NetCDF datasets. The core objective is to design and implement an automated ETL pipeline
that extracts key subsurface parameters from the global ARGO network and utilizes Random Forest Regression to classify ocean states and identify anomalies. By integrating Retrieval-Augmented Generation (RAG), the system successfully converts raw scientific records into actionable natural language insights, fulfilling the goal of developing a scalable, real-world monitoring platform that democratizes access to ocean intelligence for maritime stakeholders and sustainable fisheries management.
| 83 |
Author(s):
Dr. Anita Walia, Gangireddy Hruthika, Rifat Zaiba, Manaswini B.K, Harsh R.
Page No : 1-7
|
Dark Luxury: The Emergence of Digital Invisibility as a Status Signal in the Age of AI Surveillance
Abstract
The basis of luxury branding has been the high visibility, aspirational communication, and wide digital interactions to develop the perception of desire and social status. Nevertheless, the blistering development of the artificial intelligence-powered surveillance, algorithmic advertising, and massive data tracking is changing the way consumers engage with the brands in the virtual space. As people grow more conscious of the fact of data gathering and niche marketing, attitudes towards privacy, exclusivity and control of personal information are beginning to balance out towards consumer attitudes. Here, the idea of dark luxury is developing, where exclusivity can be enhanced using regulated online image and minimal exposure online instead of complete exposure.
| 84 |
Author(s):
Prajakta D.Kulkarni.
Page No : 1-7
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Predictive Analysis For Crowd Detection Using Machine Learning
Abstract
The proposed system, Crowd Management Using Image Processing and Machine Learning, is designed to enhance public safety by efficiently managing large crowds and identifying missing persons. It uses image processing and machine learning techniques to monitor crowd activities through live camera feeds, enabling real-time analysis of crowd density and movement patterns.The system consists of two main modules: Admin and Police Camp. The Admin module manages camera setups, locations, and crowd monitoring, while the Police Camp module allows officers to register and maintain records of missing individuals by uploading images and details. Using face recognition techniques such as Haar Cascade Classifier, the system compares live images with stored data to detect missing persons. When a match is found, it sends instant notifications along with location details, enabling quick action. This automated approach reduces search time and provides an effective solution for crowd control and real-time tracking.
| 85 |
Author(s):
Nehal Juniwal, Yasha Suresh, Varsha M.
Page No : 1-7
|
Sustainable Banking Models Inspired by Ancient Indian Economic Thought
Abstract
This paper examines the potential for integrating ancient Indian economic thought into 21st-century sustainable banking practices to develop a more resilient and ethically based financial system. The study shows the current limitations of the banking sector (and finance in general) with respect to ESG, and recommends a new approach based on a hybrid of ethics, governance, and technology to achieve greater long-term sustainability and inclusiveness.
| 86 |
Author(s):
ARUN KUMAR S K.
Page No : 1-7
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REAL TIME STREAM PROCESSING FOR ANOMOLY DETECTION IN NETWORK TRAFFIC
Abstract
Real-time stream processing for anomaly detection in network traffic is an advanced system designed to monitor, analyze, and identify unusual patterns in network data as it flows continuously. With the rapid growth of internet usage and cyber threats, traditional batch processing methods are no longer sufficient to detect intrusions or anomalies in a timely manner. This project focuses on building a real-time system that captures streaming data packets from network sources, processes them instantly, and identifies anomalies using statistical and machine learning techniques.
The system leverages technologies such as data streaming frameworks, real-time analytics engines, and anomaly detection algorithms to provide immediate insights. It processes high-volume network traffic, extracts relevant features such as IP address, protocol type, packet size, and time intervals, and applies models to detect deviations from normal behavior. The objective is to reduce response time to cyber threats and improve network security.
This project is highly useful for organizations that require continuous monitoring of network traffic to prevent attacks such as Distributed Denial of Service (DDoS), intrusion attempts, and data breaches
| 87 |
Author(s):
Shatayu Someshwarrao Balapure.
Page No : 1-7
|
A Multimodal AI-Based Interview Assessment System Using Facial Emotion Recognition and Speech Confidence Analysis
Abstract
Interview performance depends not only on domain knowledge but also on non-verbal communication, emotional control, and vocal confidence—factors often overlooked by con- ventional mock interview platforms that primarily assess textual correctness. This paper presents an intelligent AI-powered mock interview system designed for holistic evaluation of both tech- nical knowledge and soft skills. The proposed system adopts a multimodal framework that integrates Natural Language Pro- cessing (NLP) for semantic answer evaluation, facial emotion recognition for analyzing non-verbal cues, and speech analysis for assessing vocal confidence. Facial emotions are predicted using a Convolutional Neural Network (CNN) trained on the FER-2013 dataset, while speech confidence is evaluated through acoustic feature extraction and classification. A hybrid semantic similarity and keyword-matching approach is used to assess answer relevance. By jointly analyzing these modalities, the system simulates a realistic interview environment and generates a comprehensive performance report. Experimental evaluation shows that the emotion recognition model achieved 53.98The proposed approach enables automated, objective, and holistic interview feedback, making it a practical tool for candidate preparation and behavioral improvement. This work contributes toward the development of intelligent interview training systems that bridge the gap between technical evaluation and soft-skill assessment.
| 88 |
Author(s):
Yuvashri B.
Page No : 1-8
|
Recent discoveries and overview of Carbapenem-Resistant Klebsiella pneumoniae.
Abstract
Abstract:
Klebsiella pneumoniae is a Gram-negative opportunistic pathogen that has emerged as a major cause of healthcare-associated infections worldwide, including pneumonia, bloodstream infections, and urinary tract infections. Its clinical success is driven by a combination of extensive virulence determinants and an exceptional capacity to acquire antimicrobial resistance. Key virulence factors such as the polysaccharide capsule, lipopolysaccharide, fimbrial adhesins, and multiple iron-scavenging systems facilitate colonization, immune evasion, and invasive disease. Of particular concern is the global emergence of hypervirulent K. pneumoniae lineages, which cause severe community-onset infections and are increasingly converging with multidrug-resistant phenotypes. Carbapenem-resistant K. pneumoniae (CRKP) represents a critical public health threat, fueled by the dissemination of carbapenemase genes including blaKPC, blaNDM, blaOXA-48-like, and blaVIM, often carried on mobile genetic elements. In India and other high-burden regions, resistance is further amplified by porin loss, efflux pump overexpression, and horizontal gene transfer, contributing to high morbidity and mortality, particularly in intensive care settings. Environmental contamination, inappropriate antibiotic use, and inadequate infection control practices exacerbate the spread of CRKP. Accurate and timely detection remains challenging, especially in resource-limited settings, where phenotypic assays are widely used despite limited specificity, while molecular techniques offer greater sensitivity but limited accessibility. This review highlights the interplay between virulence, resistance mechanisms, epidemiology, and diagnostic challenges of K. pneumoniae, emphasizing the urgent need for integrated surveillance, improved diagnostics, and effective antimicrobial stewardship to curb the growing threat posed by carbapenem-resistant and hypervirulent strains.
Keyword: Klebsiella pneumoniae, carbapenem resistance, antimicrobial resistance, Hypervirulent Klebsiella pneumoniae (hvKp), Virulence factors.
| 89 |
Author(s):
Siva Gayathri S.
Page No : 1-8
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ETHICAL ADVERTISING AND ITS INFLUENCE ON CONSUMER TRUST IN DIGITAL MEDIA
Abstract
Digital media has significantly changed the way businesses communicate with consumers. With the
rise of social media platforms, influencer promotions, and targeted online advertisements, ethical
concerns in advertising have become more visible than ever. Consumers today are more aware of
misleading claims, hidden sponsorships, and misuse of personal data, which directly influence their
level of trust in brands. In this context, ethical advertising plays a crucial role in shaping positive
consumer perceptions.
This study explores the relationship between ethical advertising practices and consumer trust in
digital media. It focuses on key ethical elements such as transparency, truthful representation of
products, proper disclosure of paid promotions, and responsible handling of consumer information.
The research analyzes how these practices affect trust, purchase intention, and long-term brand
relationships among digital users.
The findings suggest that when companies maintain honesty and openness in their digital
communication, consumers are more likely to develop confidence and loyalty toward the brand. On
the other hand, deceptive or manipulative advertising strategies can weaken trust and damage brand
reputation. The study highlights that ethical advertising is not only a moral responsibility but also a
strategic necessity for sustainable growth in the digital marketplace.
| 90 |
Author(s):
Abarna M .
Page No : 1-8
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Organic Waste-Based Plant Sunscreen Spray for Mitigating Heat Stress and Sunburn in Crop Plants
Abstract
Rising temperatures and prolonged solar radiation pose serious threats to agricultural productivity, causing leaf scorching, reduced photosynthesis, and significant yield losses. This study presents the development and field evaluation of a bio-waste-derived plant sunscreen spray formulated from banana stem powder, fruit peel powder, used tea waste, and aloe vera gel. The bio-waste ingredients were sun-dried, ground into fine powders, and subjected to controlled hot-water extraction to release bioactive compounds including tannins, polyphenols, flavonoids, pectin, and antioxidants. Filtered extracts were concentrated and blended with freshly prepared aloe vera gel to produce a stable, film-forming foliar spray. The formulation was applied to potted tomato and chilli plants maintained under natural outdoor conditions over a sixty-day observation period, with untreated plants serving as controls. Treated plants consistently exhibited lower leaf surface temperatures, healthier foliage, reduced sun-scorch symptoms, and improved canopy development compared to untreated controls. Temperature measurements confirmed a progressive reduction in leaf surface temperature in the treated group, with differences widening as sunlight intensity increased across the observation period. The spray coating persisted for several days without causing phytotoxic effects or interfering with normal plant growth. The formulation is low-cost, biodegradable, and prepared from widely available agricultural residues, making it a viable and sustainable protective solution for smallholder farmers in tropical and subtropical regions.
| 91 |
Author(s):
PAVITHRA S M / Dr. ASHWINI P.
Page No : 1-8
|
AN EMPIRICAL STUDY ON THE IMPACT OF TRAINING PROGRAMS ON EMPLOYEE UPSKILLING AND JOB PERFORMANCE
Abstract
ABSTRACT
Training programs with related content with the actual job related skill with a continuous feedback which motivates employees and up-skill the employee. The purpose of the research is to assess the impact of the training and development programs effectiveness and how it gradually improves the employee job performance. The primary objective of the study is to analyze employee perceptions regarding the impact of training on skill enhancement, job performance, and career advancement. The primary data for the research is collected from 110 responses using a structured questionnaire. Percentage analysis was used as a statistical tool to interpret the data and also correlation and regression test is done to test the hypothesis.
The findings states that a majority of employees participated in the training s mainly for skill enhancement and for their career advancement also most of the employees stated that the training programs were effective and contributed to developing new job-related skills to a moderate extent. The overall assessment indicates that the provided training had a moderately positive influence on job performance also the training content was considered relevant for the present job role and need.
The study concludes that training and development initiative plays an important and crucial role in upgrading employee competencies, performance levels and career growth. Its effectiveness contributes positively to both individual development and organizational performance
Key Words: Training programs, Up-skilling, Job performance, Motivation, Employee engagement and career advancement.
| 92 |
Author(s):
Vaishnav Krishna P.
Page No : 1-9
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Formal Modeling and Verification of an Autonomous Irrigation System Using Petri Nets
Abstract
Automated irrigation systems are critical for efficient water and nutrient management in modern agriculture. However, most existing approaches rely on heuristic methods without formal verification, leaving the system prone to deadlocks or inconsistent operation. This paper addresses this research gap by presenting a formal modeling and verification of an automatic irrigation system using Petri Nets. The system autonomously monitors soil moisture and nutrient levels to perform irrigation and fertilization without human intervention. The workflow including sensing, decision-making, actuation, logging, and notification was modeled and simulated using PIPE 4.3.0 and WoPeD 3.8.0, providing both formal analysis and intuitive workflow visualization. Verification of reachability, boundedness, liveness, safeness, and deadlock-freeness confirms reliable system operation, highlighting the relevance of Petri Net-based modeling for robust, scalable autonomous irrigation systems.
| 93 |
Author(s):
Rajendra E. Kalhapure.
Page No : 1-9
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Impact of Variable Process Parameters of Magnetic Abrasive Finishing on Surface finish of mild Steel Using a DC current for Electromagnets
Abstract
Fine finishing or finishing is the generally last process of the production of jobs that demand utmost quality with regard to shape, precision, and surface integrity. Fine-finishing is a process that improves the surface of the jobs, enhancing its functional and excellence aspects. The major manufacturing sectors requires accurate finishing to enhance the appearance, performance, and durability of its components. Mild steel is generally utilized in the production of various components required in automotive and other applications. Conventional finishing and fine finishing methods can be challenging to apply when manufacturing components of varied shapes and sizes. To address this, unconventional fine finishing and finishing techniques are being employed. One typical method is magnetic abrasive finishing (MAF), a finishing technique that produces components of outstanding quality. In this method a cutting tool is the flexible magnetic abrasive brush (FMAB), guided by a DC magnetic field, to achieve the preferred surface finish. Typically, the magnetic abrasives used in MAF consist of key components like DC electromagnetic field, mixture of ferromagnetic powder and abrasives powder. In this study, mild steel bars undergo fine polishing using a MAF technique, with varying process parameters being examined. Aluminum oxide (Al2O3) serves as the abrasive, while a hemisphere pole shaped DC electromagnet is employed for the fine-finishing process. The process key variables, including magnetic flux density, workpiece rotational speed, and the percentage of abrasives with ferrous powder in the mixer, can be adjusted to achieve best surface finishes. The efficiency of the process is influenced by factors such as the abrasive particles content in the mixing ratio, the speed of the workpiece, and the input DC voltage that regulates the magnetic flux density. The results indicate that increasing the rotation speed and DC voltage enhances the surface finish of the mild steel rods. Specifically, experiments reveal that improvements in rotation speed and DC voltage can lead to a 47% increase in the maximum enrichment of surface roughness.
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Author(s):
Reshma Banu S1, Prannesh U R2,Mahenthiran R3, Sudha S S4.
Page No : 1-10
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A LIVING ALTERNATIVE TO MATHEMATICAL HEURISTICS
Abstract
Abstract:
Microbial computation uses the abilities of microorganisms, mainly bacteria and slime molds, to do calculations that would normally be done by machines. Microorganisms have been genetically changed or created by synthetic biology to be able to interpret input and create output through logical circuits. In real life examples of microbial computation, quorum sensing and chemotaxis are being used by microorganisms as a form of computational ability. Physarum polycephalum, for example, has shown how its network of protoplasmic tubes can be used to physically represent solutions to optimization problems . In addition, it has been shown that synthetic biochips engineered microbial colonies can count events, execute Boolean logic, and adjust to their surroundings. By using physiological processes for these types of computations, they end up having low energy requirements, are highly parallel in nature, and self-replicate. Examples of how microbial computations mimic algorithms used in programming include chemical gradient signaling, nutrient driven spatial growth, and stigmergy where microorganisms provide environmental signals to other microorganisms to help in future actions upon that same environment. Using integrated microbial units that consist of shape, genetic control, and metabolic feedback, they serve as an encoder to encode data and can process via morphological computation and give analytical output. Advancements in synthetic biology have provided the foundation for bio circuits with more accurate and scalable capabilities, through the uses of DNA computing and logic gates based on CRISPR technology. Smart therapies, biosensing and diagnostics are just a few of the potential uses for these bio-circuits. Despite these advancements, several challenges persist including slow processing times, inconsistent results and difficulty scaling complexity. In the future bio-hybrid computing will fuse electronic and microbiological systems to create flexible, low power platforms to solve real world problems in logistics, robotics and medicine. In essence, microbial computation redefines intelligence as an emergent quality of life; therefore, microbial computation presents a physical and sustainable approach to traditional computing systems.
Keywords: Logic gates, gene circuits, synthetic biology, microbial computation, and genetic engineering
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Author(s):
Mintu Jana.
Page No : 1-15
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An Assessment of Sanitation Facilities, Hygiene Practices, and Socio-Economic Status of Slum Dwellers: A Case Study of Rupnarayan Chak, Haldia
Abstract
Rapid urbanization has led to the proliferation of slums, creating significant challenges for sustainable urban development and public health. This study examines the socio-economic conditions and sanitation status of the Rupnarayan Chak slum, located in the Haldia industrial belt of Purba Medinipur, West Bengal. The primary objectives were to assess water and sanitation facilities, hygiene practices, and the overall impact of these factors on the health and socio-economic well-being of the residents. The research findings reveal a predominantly poor housing environment, with 56.25% of dwellings classified as semi-pucca and 43.75% as kacha structures. While electricity access is relatively high at 88.75%, the community faces critical challenges regarding drainage, sewage facilities, and clean drinking water. Socio-economic analysis indicates that a significant portion of the population has reached secondary (26.05%) and higher secondary (21.83%) education levels, yet only 9% are graduates. Low income and poor living conditions have contributed to widespread malnutrition among women and children, as well as a high prevalence of water-borne and respiratory diseases. The study concludes that the lack of proper sanitation and basic amenities directly degrades the quality of life and health of the slum dwellers. It recommends urgent governmental and non-governmental interventions to improve housing, sanitation management, and access to healthcare to foster a more sustainable and equitable urban environment.
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Author(s):
Prannesh U R1, Siya Saji2, Reshma Banu S3, Akshay Krishanan U S4, Ramachandhran A M5.
Page No : 1-20
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Investigating Direct Current Stimulation of Wounded Cell Collectives via Bioelectronic Microfluidic Wound Healing: A Review
Abstract
Upon cutaneous injury, the human body naturally heals the injured area by developing an endogenous electric field (EF) that guides cellular and tissue repair complexes towards the wound site. The resulting Direct Current (DC) ionic flow, generated by disruption of the transepithelial potential, influences a variety of biological processes relevant to wound repair. This DC stimulation can impact both diabetic and healthy in vitro keratinocyte tissues to clarify the effects of EF/DC stimulation on wound healing dynamics. Keratinocytes constitute the predominant cell type in the human epidermis, forming densely packed lateral layers that migrate collectively during wound closure. A bioelectronic microfluidic platform was developed to study the effects of different EF spatial configurations on wound gap closure using non-metal, pseudocapacitive PEDOT:PSS hydrogel-coated laser-induced graphene electrodes combined with prudent microfluidic channel architecture. Two spatial stimulation strategies were rigorously examined: unidirectional EF (electrotactically closing a wound from one edge) versus pseudo-converging EF (alternately polarizing both wound edges). Unidirectional electrical guidance cues proved superior in driving collective keratinocyte healing dynamics, accelerating wound closure rates by approximately three-fold for both healthy and diabetic-like keratinocyte collectives compared to pseudo-converging EF and non-stimulated controls. Under unidirectional electrical stimulation, motility-inhibited diabetic-like keratinocytes recovered wound closure rates (increasing from 1.0 to 2.8% h−1) comparable to healthy, non-stimulated counterparts (3.5% h−1). The results support the hypothesis that regulated electrical stimulation represents a practical therapeutic strategy for accelerating wound healing, particularly in chronic wound contexts. These findings also establish a translational baseline for optimizing electrode design for in vivo DC stimulation applications in regenerative medicine.
