Author(s) :

Bhavana Dhoundiyal and Swati Bhati.

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ONLINE DISPUTE RESOLUTION

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Author(s) :

Aarchi Goyal.

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This research explores the evolving landscape of recruitment trends, focusing on the influence of digital technologies, diversity and inclusion initiatives, and organizational culture on modern hiring practices. With the increasing reliance on artificial intelligence, social media, and digital platforms, recruitment has undergone a fundamental transformation. The study also examines variations across industry sectors and assesses the effectiveness of diversity, equity, and inclusion (DEI) programs. A quantitative methodology was employed using survey data from HR professionals and recruiters across multiple sectors. The findings suggest that organizations adopting innovative digital tools and inclusive hiring practices report improved applicant quality, higher candidate acceptance rates, and better employee retention. The study offers actionable insights for organizations aiming to remain competitive in attracting top talent amid shifting workforce expectations.

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Author(s) :

Amit Sethi.

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Micro, Small, and Informal Enterprises (MSIEs) play a crucial role in the sports goods industry, yet their implementation of sustainable production technologies remains limited due to various barriers. This study explores the challenges hindering MSIEs in integrating sustainable practices into their production processes, specifically focusing on the sports goods sector. Through a case study approach, the study identifies financial, technological, regulatory, market, and organizational constraints that hinder the transition to environmentally friendly technologies. The key findings highlight limited access to green financing, high upfront costs of sustainable technologies, and inadequate knowledge and technical expertise as significant hurdles. Additionally, weak regulatory enforcement, lack of customer demand for eco-friendly sports goods, and supply chain inefficiencies further increase these challenges. This research provides valuable insights into the interplay of internal and external factors affecting MSIEs and recommends targeted interventions such as financial incentives, capacity-building programs, and enhanced regulatory frameworks. Addressing these barriers can enable MSIEs in the sports goods industry to achieve sustainability goals while maintaining competitiveness in an evolving global market.

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Author(s) :

Akshat Kumar .

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The advancement of Artificial Intelligence (AI) in the healthcare domain has paved the way for intelligent diagnostic tools capable of predicting diseases with remarkable accuracy. This research introduces a unified Multiple Disease Prediction System designed to forecast the likelihood of three significant illnesses— Diabetes, Heart Disease, and Parkinson’s Disease—by analyzing patient-specific health parameters. Developed using Python and deployed through the Streamlit framework, the system utilizes machine learning models trained on relevant medical datasets. A notable feature of this system is the integration of an AI-driven symptom checker powered by Google Gemini API, which interprets user-described symptoms in natural language to provide potential diagnoses. The application aims to enhance accessibility to preliminary health screening and support medical professionals by offering rapid, data-driven insights. Experimental evaluations reveal high prediction precision, affirming the system’s practical effectiveness and potential contribution to intelligent healthcare.

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