| 1 |
Author(s):
Vivek B..
Page No :
|
JioMart VMS Software – The Ultimate Tool for Video Data Management
Abstract
This article explores the transformative role of JioMart VMS Software in revolutionizing
video data management systems in India. By comparing traditional DVR systems with
advanced cloud-based solutions, the study highlights key features, benefits, and future
applications.
| 2 |
Author(s):
Vivek Bhakta.
Page No :
|
JioMart VMS and SecurePack360 – A Collaboration for Video Growth
Abstract
This article examines the strategic collaboration between JioMart VMS and SecurePack360, focusing on how the partnership enhances video management, compliance, and scalability. It provides insights into how this collaboration benefits industries and sets new benchmarks in India’s digital ecosystem.
| 3 |
Author(s):
Vivek B..
Page No :
|
A Complete Guide to Meesho VMS (Video Management System) Explained
Abstract
This article provides a comprehensive overview of Meesho’s Video Management System (VMS), highlighting its role in enhancing security, monitoring efficiency, and ensuring better data accessibility. It explores modern trends, advantages, and the relevance of cloud-based systems in India’s growing digital infrastructure.
| 4 |
Author(s):
Vivek Bhakta.
Page No :
|
Meesho VMS: Revolutionizing Video Management for Resellers
Abstract
Meesho VMS is transforming the way resellers manage, secure, and scale their video data. With innovative tools for monitoring, compliance, and cloud integration, it empowers small businesses to thrive in India’s digital-first ecosystem.
| 5 |
Author(s):
Vivek B. .
Page No :
|
Meesho VMS Software: The Ultimate Solution for Video Data Management in India 2025-2026
Abstract
This article examines the role of Meesho VMS Software in advancing video data management solutions. It highlights its advantages over traditional systems, focusing on scalability, cost efficiency, and compliance for businesses and institutions across India.
| 6 |
Author(s):
Vivek.
Page No :
|
Multi-Platform VMS: One System for Amazon, Myntra, Flipkart, Tata Cliq
Abstract
This article explores the integration of multi-platform Vendor Management Systems (VMS) tailored for major Indian e-commerce platforms such as Amazon, Myntra, Flipkart, and Tata Cliq. It highlights how centralized solutions enhance scalability, compliance, and operational efficiency in 2025–2026.
| 7 |
Author(s):
Vivek Bhakta.
Page No :
|
Meesho VMS and SecurePack360: A Winning Combination for Video Management
Abstract
This article explores how Meesho VMS, combined with SecurePack360, offers a powerful solution for video data management, ensuring security, scalability, and efficiency in the evolving Indian digital ecosystem.
In the rapidly advancing digital space, Meesho VMS and SecurePack360 represent a cutting-edge approach to secure and efficient video data management. Their integration provides enhanced data storage, compliance support, and scalability for modern businesses. With India seeing a surge in innovation across industries, solutions like these resonate well with emerging trends in science fair projects India, school STEM projects, and the rise of DIY kits India. As organizations and educational institutions focus on the best projects 2025, the adaptability of cloud-based video management solutions ensures readiness for the future. By reducing costs compared to traditional DVR systems and enabling better compliance, this combination sets the stage for technological adoption not only in enterprises but also in the STEM education ecosystem. The shift toward cloud-based solutions highlights their significance for both business efficiency and hands-on learning, making Meesho VMS and SecurePack360 a truly winning combination for India’s future.
| 8 |
Author(s):
Vivek Bhakta.
Page No :
|
Myntra VMS Software: The Ultimate Solution for Efficient Vendor Management in India 2025 – 2026
Abstract
Myntra VMS software offers a comprehensive platform to streamline vendor interactions and improve operational efficiency. It empowers businesses with cloud-based tools, real- time analytics, and compliance management tailored for the fashion e-commerce sector.
| 9 |
Author(s):
Vivek Bhakta.
Page No :
|
A Complete Guide to Myntra VMS (Vendor Management System) in India 2025 – 2026
Abstract
This article explores the Myntra Vendor Management System (VMS) and its role in enhancing vendor operations for fashion e-commerce platforms in India. It discusses how VMS solutions streamline processes, ensure compliance, and boost scalability, aligning with evolving market demands in 2025–2026.
| 10 |
Author(s):
Vivek Bhakta.
Page No :
|
How to Use Myntra’s VMS for Your Myntra Orders in India 2025 – 2026
Abstract
This article explores how Myntra’s Vendor Management System (VMS) streamlines order management for sellers, enhancing efficiency, compliance, and scalability in India’s fast-evolving e-commerce space. It highlights the importance of adopting VMS for better inventory tracking, faster processing, and vendor collaboration.
| 11 |
Author(s):
Vivek Bhakta.
Page No :
|
What is Myntra Brand VMS (Video Management System) and How It Works in India 2025 – 2026
Abstract
This article explores Myntra’s Brand VMS (Video Management System), highlighting its functionality, benefits, and technological backbone. It provides insights into how VMS supports vendor management and retail scalability in India’s growing e-commerce sector.
| 12 |
Author(s):
Vivek Bhakta.
Page No :
|
Myntra VMS Software: The Ultimate Solution for Efficient Vendor Management in India 2025–2026
Abstract
Myntra VMS software offers a comprehensive platform to streamline vendor interactions and improve operational efficiency. It empowers businesses with cloud-based tools, real-time analytics, and compliance management tailored for the fashion e-commerce sector.
| 13 |
Author(s):
Vivek Bhakta.
Page No :
|
Common Challenges in Order Picking and How Pick-to-Light Can Solve Them in India 2025-2026
Abstract
Order picking inefficiencies are among the biggest hurdles in warehouse management. This article explores common challenges such as human errors, delays, and productivity gaps, and highlights how Pick-to-Light (PTL) systems offer a technology-driven solution to streamline operations.
| 14 |
Author(s):
Sonal Sinha.
Page No : 1-4
|
A Study of Production Management of Sugar Industries in India (With Special Reference to Pratappur Block of Surajpur District)
Abstract
India currently ranks as the world's fourth-largest economy and is experiencing rapid growth, driven by domestic reforms and a strategic focus on strengthening its global position. It remains the fastest-growing major economy, with a projected growth rate of 6.5%. Here sugar industries of India play a vital role in boosting up the economy of India. Most of the sugar industries of India are managed by cooperative sector. It helps Indian economy in anonymous ways like it financially supports the Harvesters of sugarcane, to the people who are engaged with the factories for producing sugar and its by-products, to the officials of the industries and many others. Effective management of the production may help in the cost reduction, as a result of which there will profit maximization in these industries. Similarly Maa Mahamaya Cooperative Sugar Industry of Kerta village in Surajpur district of Chhattisgarh state contributes in the economic development of India.
| 15 |
Author(s):
A Tarun.
Page No : 1-4
|
FERROCEMENT CONCRETE: A STUDY ON AESTHETICS AND TEXTURES IN FERROCEMENT CONCRETE.
Abstract
Ferrocement is a thin, versatile material comprised of wire mesh, cement mortar and
steel rods of small diameters that provides good strength and durability. Originated by Jospeh Monier in 19th century, which later evolved into a structural and aesthetic material. Its unique properties makes it easily mouldable and helps in achieving different forms. The research
focuses on Aesthetics and textures that can be derived truly out of the ferrocement concrete. The performance of the material in indoors and outdoors without compromising on their
properties. Acts as a sustainable material, that needs to be considered for the future.
| 16 |
Author(s):
Sambriddha Karki.
Page No : 1-5
|
Investigative Research on Using AI for Detecting and Predicting Earthquakes in Nepal by creating an Early Earthquake Alert System (EAS) system based on previous studies and findings
Abstract
Problems Discussed :
1. Lack of modern and dependable systems in place for alerting people about earthquakes
Challenge: A major issue with using AI to set up an earthquake alert system is that the existing technology and data available in Nepal aren't sufficient for predicting earthquakes in the Eurasian plate That depends on traditional instruments which are not efficient because of lack of information and prediction of seismic events. Nepal which is located at a major fault line, faces a danger due to this issue.
Consequences: Many regions of Nepal, Northern India, and Tibet remain in great danger and have a small response time to respond due to the lack of EAS and the use of traditional methods. Previously a 7.8 magnitude earthquake in 2015 left Nepal and some parts of India devastated due to lack of EAS and unreliable technology.
2. Lack of use of AI models in the EAS system
Challenge: The main challenge in using AI models for earthquake prediction in Nepal is the lack of information and awareness regarding their use in earthquake detection and prediction on a national level. The use of AI allows real-time data analysis, improving earlier predictions and preparations for seismic activity and aftershocks.
Consequences: Whenever earthquake prediction depends on inefficient and generic data, it results in slow detection of seismic events, and missing analysis of complex seismic patterns for reliable prediction due to which only generalized data is available which is insufficient in determining earthquake
3. Lack of awareness and information in remote areas of Nepal
Challenge: Communities in remote areas of Nepal have not had any access to knowledge and training around seismic events or the round use of AI or technology to predict earthquakes. As a result following an earthquake in remote areas, the responses are slow and not always effective
Consequences: This lack of education and training causes injuries, loss of lives, property damage, displacement, loss of resources, and worsening situations in remote areas where Search and Rescue operations are hard to conduct.
4. Lack of Government Funding and Support
Challenge: The Nepalese government with a lack of manpower and technology, hasn’t developed policies and strategies for earthquake prediction for the Eurasian plate. The lack of research and development at the higher level results in inefficient planning at all levels of the Nepali government
Consequences: The lack of policy formation and guidance has led to incompetence, delaying meaningful progress in a national policy for earthquake prediction that could be used efficiently.
Solution:
AI can be used for the prediction of earthquakes and the design of Early Warning Systems (EAS)by using Machine Learning (ML) and Deep Learning (DL) techniques, improving the accuracy and efficiency of the system, hence enabling timely predictions. Some of the methods include:
1. Artificial Neural Networks (ANN)
This system is a common type of machine learning(ML)tool in earthquake detection and prediction. ANNs are mainly good at detecting tricky patterns and nonlinear relationships in seismic data.ANNs detect nonobvious relations between data that are missed by other systems
2. Convolutional Neural Networks (CNN)
The use of this neural network is detecting seismic waves through image and object recognition, it can be used to find variances of depth, and magnitude aftershocks it recognizes seismic patterns that other models have missed.
3. Long Short Term Memory Networks (LSTM)
This model can learn from past earthquakes and predict the location, time, and magnitude of an incoming earthquake from past data.
| 17 |
Author(s):
Phairembam Pradip Singh .
Page No : 1-5
|
HOW FRAMING AFFECT AN INDIVIDUAL FINANCIAL DECISION MAKING
Abstract
This study investigates the impact of framing, specifically gain versus loss and emotional framing, on individuals' financial risk perception and decision-making. Drawing on Prospect Theory and principles of behavioural economics, the research examines how the presentation of financial choices influences individuals' tendencies to adopt risk-averse or risk-seeking behaviours. A structured survey was conducted with 80 participants, and the data were analysed using descriptive statistics, chi-square tests, t-tests, ANOVA, and regression. The results show that participants are significantly more risk-seeking when financial decisions are framed as losses or when the emotional tone is negative. In contrast, demographic variables such as age, gender, and education level had minimal influence. These findings highlight the psychological effects of framing and underscore the need for ethical financial communication and improved decision-making literacy.
| 18 |
Author(s):
Fatima Begum.
Page No : 1-5
|
THE CASCADING EFFECT OF INVERTED DUTY STRUCTURE ON WORKING CAPITAL AND COMPLIANCE: AN EMPIRICAL ANALYSIS OF INDIA’S GST REGIME
Abstract
The Goods and Services Tax (GST), implemented in India in 2017, aimed to eliminate tax cascading through a seamless Input Tax Credit (ITC) mechanism. However, the Inverted Duty Structure (IDS)—where input tax rates exceed output tax rates—has created a new form of fiscal distortion. This paper presents empirical evidence from 47 manufacturing firms across three IDS-affected sectors (pharmaceuticals, textiles, and fertilizers) to quantify the impact on working capital and compliance costs. Using firm-level financial data (2021-2024) and semi-structured interviews with tax practitioners, we find that IDS leads to an average working capital blockage of 8.3% of annual turnover, with refund processing times averaging 147 days despite the statutory 60-day limit. Regression analysis reveals that IDS intensity significantly predicts increased compliance costs (β = 0.67, p < 0.001) and reduced operational efficiency. Our findings suggest that while refund mechanisms provide temporary relief, fundamental rate rationalization is necessary to resolve this structural inefficiency. The study contributes to the literature on value-added tax design and implementation challenges in federal systems.
| 19 |
Author(s):
1) Vinita Tayal and (2) Dr. Gauri Shankar Yadav .
Page No : 1-5
|
PARENTING GEN Z IN INDIA: AN OVERVIEW AND PRACTICE FRAMEWORK
Abstract
Generation Z (born approximately 1997–2012) in India is coming of age in a context shaped by rapid digitalization, globalization, shifting family structures and educational pressures. Parenting this cohort poses novel challenges and opportunities, particularly in Indian socio-cultural settings where traditional collectivist values intersect with modern individualistic trends. This article provides an overview of Gen Z in India, examines family and parenting dynamics, identifies key parenting challenges, and introduces a practical “5C Practice Framework” (Connection–Communication–Coaching–Consistency–Collaboration) tailored for parents and practitioners. The framework aims to guide effective, culturally grounded parenting practices that foster resilience, autonomy, and values in Gen Z individuals. Implications for practitioners, educators and policy are discussed.
Keywords: Generation Z, India, parenting, digital natives, family dynamics, parenting framework, adolescents.
| 20 |
Author(s):
VELMURUGAN V.
Page No : 1-5
|
Data Visualization Automation
Abstract
The big-data world, businesses need rapid and practical methods to translate massive datasets into meaningful insights. Classic dashboard creations is typically manual and time-consuming, it often needs coding skills, which is not accessible for non skilled users. In this paper, an automatic data visualization framework is presented in order to facilitate and speed up this task. Users can upload a dataset, after which the system would analyzes the data and suggest the three to four templates that could accommodate the data. These templates are designed to draw attention to trends, compared to results and data distribution. After the end game of the game, the user can choose a favorite template, modify it as appropriate - for example, change the types of charts, design or save ready-made dashboard. Integrating automation and user customization, the system reduces labour, cuts down on errors and helps to prevent the loss of sensitive data.
| 21 |
Author(s):
Kumaresh J.
Page No : 1-5
|
Air Quality Index Prediction using Machine Learning Techniques
Abstract
Air pollution is one of the most important health and environmental issues today. The Air Quality Index (AQI) is gaining popularity as a recognized indicator of the safety of the ambient air that is easily understood by the public and the decision-makers. This study focuses on the use of machine learning models to predict AQI values using five years of pollutant data collected from some Indian cities. The pollutants investigated are sulfur dioxide (SO₂), nitrogen dioxide (NO₂), respirable suspended particulate matter (RSPM), and suspended particulate matter (SPM). Several machine learning models were employed and studied in the analysis, including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and K-Nearest Neighbors (KNN), to determine their potential for predicting AQI categories or predicting it as a continuous variable. The analysis showed that Random Forest was the most reliable and accurate approach, as it achieved the best balance between accuracy, interpretability, and generalization. This study raises awareness of the merit of developing predictive models that can and potentially lead to early warning systems and decision support systems for sustainable urban management and public health improvement.
| 22 |
Author(s):
Thomas Philip.
Page No : 1-6
|
FINANCIAL BEHAVIOURS IN THE SOCIAL MEDIA ERA: A SECONADARY STUDY ON INFLUNENCER MARKETING
Abstract
The rise of financial influencers, or "influencer’s," has fundamentally transformed financial communication and investment behaviour, particularly among Gen Z and Millennials. This secondary study synthesizes research from behavioural finance, psychology, law, and marketing to analyse this new paradigm. Finfluencers' persuasive power stems from emotional and social-psychological mechanisms, such as cultivating Para social relationships and leveraging community validation. These interactions amplify inherent cognitive biases like herding, anchoring, and the fear of missing out (FOMO), often leading to impulsive and speculative financial decisions. While finfluencers can democratize access to financial knowledge and build supportive communities, their unregulated status poses significant risks. This includes contributing to market volatility, spreading misinformation, and causing financial harm to inexperienced investors. The analysis reveals that existing legal and regulatory frameworks, designed for traditional financial advice, are ill-equipped to address the subtle nature of social-media-driven influence. The conclusion is that the Finfluencers phenomenon is a complex, technologically mediated ecosystem that challenges the very foundation of financial market theory. Addressing these challenges requires a multi-faceted approach, including updating regulations to account for psychological manipulation, enhancing consumer education, and establishing new ethical standards for digital financial services to protect individual autonomy and financial well-being.
| 23 |
Author(s):
RUBIKA L M.
Page No : 1-6
|
A Comparative study on Non Performing Asset(NPA) in Public sector banks and Private sector banks
Abstract
The banking sector is the backbone of a country’s financial system and plays a crucial role in economic development by mobilizing savings and providing credit for productive activities. However, one of the major challenges faced by the banking industry today is the problem of Non-Performing Assets (NPAs). The study focuses on a comparative analysis of Non-Performing Assets (NPAs) between public sector banks (PSBs) and private sector banks (PVBs) in India. The primary aim is to evaluate the asset quality of banks using Gross NPA (GNPA) and Net NPA (NNPA) ratios. The research further examines the relationship between GNPA and NNPA to understand how provisioning reflects the real level of financial stress in banks. It also analyses the impact of NPAs on the profitability and overall performance of both public and private sector banks. The findings reveal that public sector banks generally face higher NPAs due to weak credit appraisal and policy constraints, while private banks maintain better control through improved monitoring and technology-driven management. The study concludes with suggestions to minimize NPAs and enhance the overall efficiency of the banking system.
| 24 |
Author(s):
Dr.T.L.Vannarajah.
Page No : 1-7
|
Strengthening Sri Lanka Telecom Mobitel PLC’s Corporate Strategy to Drive Customer Satisfaction
Abstract
Abstract - With the rapid advancement of customer relationship management, it is evident that customer satisfaction plays a critical role in the telecommunication industry. SLT Mobitel PLC could substantially benefit from adopting a proven and systematic consumer satisfaction model. However, the key challenge for the organization is to implement and maintain a consistent framework for measuring and enhancing customer satisfaction across its business functions, market segments, and geographic regions. Positioning customer satisfaction as a core element of corporate strategy has the potential to yield significant economic benefits. Satisfied customers form the foundation of SLT Mobitel PLC’s success, as they contribute to repeat purchases, brand loyalty, and favorable word-of-mouth communication. Conversely, dissatisfaction among customers can impede business growth, since consumers represent the lifeline of the organization. Based on this analysis, it is recommended that SLT Mobitel PLC adopt a structured consumer satisfaction model to strengthen business development and enhance overall service quality. For the purpose of this study, the researcher selected 50 customers, with specific reference to SLT Mobitel PLC, through a purposive sampling method.
Key words: Customer satisfaction, Customer dissatisfaction, Corporate strategy
| 25 |
Author(s):
Dr. Amit Galphade.
Page No : 1-7
|
Dual-Mode Solar and Wind Energy Charging System for Electric Vehicles: A Sustainable Approach
Abstract
Electric Vehicles are now becoming part of our daily lives. The biggest challenge for complete adoption of electric vehicles is charging fo batteries. This paper explores a dual-mode charging system for electric vehicles. It proposes utilizing both solar and wind energy, aiming to address the challenge of battery charging and promote sustainable transportation. The study highlights the significant contribution of the transportation sector to carbon emissions and the growing demand for electric vehicles. Solar panels mounted on the vehicle can harness abundant sunlight, providing consistent energy throughout the year. Complementing this, wind turbines installed at the front of the car can generate electricity from airflow during motion, with power output increasing at higher speeds. The proposed setup allows vehicles to recharge while parked under the sun and while driving, reducing reliance on stationary charging infrastructure. The findings demonstrate the feasibility of integrating renewable energy sources for electric vehicle charging, paving the way for environmentally friendly solutions. Future work will focus on the practical implementation and performance evaluation of the system.
| 26 |
Author(s):
Hemanth P.
Page No : 1-8
|
Beyond the Hype: A Conditional Framework for Cryptocurrency Contagion and Portfolio Risk
Abstract
This report introduces a novel conditional framework to address a critical gap in the existing
financial literature: the failure to account for the dynamic, state-dependent nature of
cryptocurrency market contagion. The analysis moves beyond a static view of cryptocurrencies
as either a "safe haven" or a correlated risk asset, arguing instead that their behaviour is highly
sensitive to traditional market conditions. A core finding is that crypto-market dynamics are
driven by a disproportionately large "noise component" and the predictable behaviour of
uninformed retail investors. This structural immaturity creates a fertile environment for
unidirectional spillover effects from traditional markets to intensify during periods of crisis.
The report provides a robust, meta-analytical conclusion that reinforces this perspective.
Building on these findings, the paper offers actionable recommendations for key stakeholders,
including a conditional portfolio strategy for investors and a concrete regulatory roadmap for
policymakers, thereby distinguishing its contribution from a standard academic review.
| 27 |
Author(s):
Aristides Mandinuto.
Page No : 1-8
|
ML in Multicultural Teams: Bias Detection & Mitigation. A Case Study of Angola
Abstract
The Angolan industrial sector is formed mainly by international companies, which leads to frequent relationships with different cultures. This research explores some biases and their impact on the decision-making process of multicultural teams and the application of machine learning in mitigating such biases. Research has shown that biases in their varying forms can be detrimental to the collaboration of the teams and in decision-making, especially in the outcomes of the decisions made in the healthcare field. The research methodology for the project is mixed, involving the use of qualitative and quantitative techniques to collect evidence of team interactions and decisions reached. The collected and analysed evidence demonstrated that background cultural differences significantly contributed to and strained the team dynamics. Moreover, it was noted that machine learning algorithms aimed at solving this problem- tailored machine learning algorithms- successfully identified the patterns of biases and their alleviation in the team’s performance.
| 28 |
Author(s):
ANAGHA P.
Page No : 1-9
|
THE EFFICIENCY AND ADOPTION OF EXPENSE TRACKER APPLICATIONS IN ENHANCING STUDENT’S FINANCIAL MANAGEMENT
Abstract
This study explores the role of expense tracker applications in improving university students’ financial management. It examines how these apps influence budgeting, saving, and spending habits through insights from behavioral economics and technology adoption models. Findings suggest that while such apps enhance financial awareness and control, their effectiveness depends on users’ financial literacy, motivation, and app design. Recommendations are provided for students, educators, and developers.
| 29 |
Author(s):
Ankit Mishra .
Page No : 1-16
|
A Review on the Phytochemistry, Medicinal Properties and Pharmacological Activities of 15 Selected Myanmar Medicinal Plants
Abstract
Medicinal plants contain natural compounds that can help treat various diseases. Over time, people have used these plants for their healing properties. This review focuses on 15 medicinal plants found in Myanmar, including:
Dalbergia cultrata
Eriosema chinense
Erythrina suberosa
Millettia pendula
Sesbania grandiflora
Tadehagi triquetrum
Andrographis echioides
Barleria cristata
Justicia gendarussa
Premna integrifolia
Vitex trifolia
Acacia pennata
Cassia auriculata
Croton oblongifolius
Glycomis pentaphylla
This review looks at the chemical compounds in these plants, as well as their biological and medicinal activities. It also gathers previous research about these plants in Myanmar.
Myanmar has many traditional medicinal plants that have not yet been fully studied scientifically. This review aims to support further research on their medicinal properties.
| 30 |
Author(s):
First Author - Mrs.S.Gananasooriyar- Department of Accountancy ,ATI – Jaffna. & Second Author – Mr.S.Kandeepan , Department Of Accountancy, ATI – Jaffna..
Page No : 1-35
|
Corporate Governance, Reporting Quality and Firm’s Value in Emerging Market: A case of listed firms in Sri Lanka .
Abstract
The main purpose of this study is to examine the impact of corporate governance(CG) and reporting quality (RQ)attributes on firm’s value of listed firms in Colombo stock exchange(CSE) in Sri Lanka over the period 2018-2020. A sample of 100 firms out of 289 firms listed in CSE was studied.
