Volume 13 | Issue 4 |

 Abstract

In today's job market, managing large volumes of applications using manual recruitment processes leads to inefficiency, unconscious bias, and the risk of making poor hiring decisions. This paper proposes a comprehensive Applicant Tracking System (ATS) that uses a modular architecture to address every stage of the recruitment process, from job posting and candidate evaluation to onboarding, employee management, and performance analytics. Our system significantly improves hiring efficiency and transparency by leveraging machine learning for resume parsing and ranking, as well as integrating features like employee CRUD operations and performance dashboards. The system is built on a strong technology stack (MERN) and uses Agile methodology for scalable and adaptive development. Real-time experimental results validate our system's usability, modularity, and extensibility.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Applicant Tracking System, Resume Parsing, Hiring Automation, Performance Management, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's digital world, personalized marketing is a crucial tool for businesses to engage with customers. By utilizing data of customer data, preferences, and behaviors, companies can deliver highly tailored messages and offers. Advanced technologies such as artificial intelligence and big data are enabling businesses to gain a deeper understanding of their customer base, creating more relevant and impactful experiences. However, in same side of its benefits, personalized marketing raises concerns related to data privacy and the security of personal information. This study examines customer perceptions and satisfaction with personalized marketing in Coimbatore. It highlights that while location-based offers and personalized email promotions are regarded as the most effective, concerns regarding irrelevant or too frequent messages and privacy risks persist. The findings suggest that for personalized marketing to be successful, businesses must prioritize transparency in data usage, ensure relevance in messaging, and respect customer preferences. These insights can assist businesses in enhancing their personalized marketing strategies while preserving customer trust and satisfaction.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Personalized Marketing, Customer Perception, Customer Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study looks at how happy customers are with luxury cars in Coimbatore. It tries to understand what factors like brand, comfort, performance, and after-sales service matter most to customers. By collecting opinions from luxury car owners in Coimbatore, the study aims to find out what they like and what they feel could be improved. The results can help car companies better understand their customers and improve their services in the future.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Luxury cars, Car owners, Customer satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the demanding environment of higher education, academic and work-related stress has become a ubiquitous challenge for undergraduate (UG) and postgraduate (PG) students. This research aims to investigate the impact of such stress on students' immune health through a structured survey-based analysis. The study utilized a 20-question questionnaire administered to 80 students from diverse academic backgrounds. The questions explored stress frequency, physical symptoms, illness occurrence, lifestyle factors (such as diet, sleep, and exercise), and coping strategies. Findings reveal that over 75% of students experience stress sometimes or frequently, with academic pressure identified as the primary cause. Common stress-induced symptoms include sleep disturbances, fatigue, and digestive issues--all of which are indicative of compromised immune function. Alarmingly, 92% of students reported falling sick at least once per semester, and 66% acknowledged a direct connection between stress and their illnesses. The analysis also found that poor lifestyle choices, such as inadequate sleep, low physical activity, and unbalanced diets, further exacerbate stress and weaken immunity. A gender-sensitive lens indicated that female students tend to report higher stress levels and are more likely to seek emotional support, whereas male students often internalise stress, leading to underreporting and fewer help-seeking behaviours. Moreover, while most students recognise the harmful effects of stress on immunity, only a small proportion engage in proactive coping mechanisms or seek professional help. The study concludes that work-related stress significantly undermines immune health among UG and PG students, thereby affecting their academic performance and overall well-being. These findings support the need for comprehensive, gender-sensitive institutional policies focused on mental health, lifestyle education, and accessible stress management programs. By addressing stress holistically, educational institutions can foster healthier and more resilient student populations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Academic Stress, Immune Function, UG-PG Students, Lifestyle and Immunity, Mental Health, Higher Education India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Construction project managers often deal with complex decision-making challenges shaped by a mix of regulatory demands, environmental concerns, and socio-economic factors. This study takes a closer look at these challenges through a case study of The Grove project in Nachinola, Goa. A structured questionnaire was circulated among 93 industry professionals--including architects, engineers, consultants, and contractors--to assess risks across ten key categories, such as financial, technical, operational, political, environmental, and social. The results showed that water-related operational risk (average rating: 4.48), environmental risk (4.13), and management-related risk (3.96) ranked as the most critical areas of concern. To address these challenges, several mitigation strategies were employed. These included the use of water-efficient laterite stones, installation of groundwater recharge systems, adoption of solar energy solutions, and implementation of project management software to streamline operations. Social risks were managed through active community involvement, while transparent project processes helped reduce political risks. Overall, the study emphasizes the value of context-specific risk mitigation measures to support better decision-making and promote sustainability in construction--especially in environmentally sensitive areas like Goa.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Construction Management, Risk Assessment, Sustainable Practices, Water Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents "Delicious Discoveries," a web-based application developed using HTML, CSS, and JavaScript to enhance global recipe access in the digital age. The platform features a responsive, user-friendly interface compatible with various devices. Key functionalities include reverse image search for recipe identification, an AI-powered chatbot for interactive discovery, ingredient-based search for efficient pantry use, multilingual support, and PDF recipe downloads for offline access. These features collectively offer an inclusive and engaging experience for users with diverse culinary interests and skill levels.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recipe Discovery, Reverse Image Search, Ingredient-Based Search, Multilingual Web Application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project analyzes the financial performance of Avenue Supermarts Ltd. (D-Mart) over a five-year period using key financial ratios. It assesses the company's liquidity, profitability, and efficiency to determine its financial health and operational strength. The study focuses on ratios such as current ratio, net profit ratio, operating ratio, stock turnover ratio, and fixed asset turnover ratio, which reflect D-Mart's ability to manage short-term obligations, generate profits, control costs, and utilize assets effectively. The findings show strong liquidity and efficient inventory management, though fluctuations in profitability and operating costs highlight areas for improvement. The study concludes that D-Mart maintains financial stability with scope for enhanced performance through better cost control and strategic planning.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Liquidity, Profitability, Efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a comprehensive comparative study of an IGBC-certified residential building (NAVKAR Project) and same building as a conventional building in Pune, India. It analyses sustainability aspects such as energy performance, water conservation, materials usage, indoor environmental quality, and cost efficiency. The findings affirm that green buildings, though initially cost-intensive, offer superior long-term returns in terms of utility savings, reduced environmental footprint, and improved occupant health. This research contributes to policymaking, urban planning, and real estate investment decisions aimed at promoting sustainable development in Indian cities.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green Building, IGBC Certification, Sustainable Architecture, Energy Efficiency, Water Conservation, Pune, Cost-Benefit Analysis, Environmental Impact.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An Analytical Study of the Use of Artificial Intelligence (AI) Tools for Cognitive and Inclusive Education and New Methods of Assessment Under the New Education Policy (2020)

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

An Analytical Study of the Use of Artificial Intelligence (AI) Tools for Cognitive and Inclusive Education and New Methods of Assessment Under the New Education Policy (2020)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is a web-based system that uses the cutting-edge AI models YOLOv8 and YOLOv11 to help detect kidney stones in real-time. A user-friendly web interface allows users to upload medical images, such as CT scans. The image is analyzed by the system, which then uses bounding boxes to highlight any kidney stones that are found. The results are displayed clearly with labels and confidence scores. Tailwind CSS is used to style the interface for a responsive and contemporary appearance. The system also makes useful recommendations in three areas medical, food, and exercise based on the detection. Both patients and healthcare professionals are intended to benefit from these suggestions. All things considered, this platform integrates AI and healthcare in an easy-to-use manner for clinical and educational applications.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

YOLOv8, YOLOv11, Tailwind CSS, Kidney stone, Bounding Box.

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Creative Commons Attribution 4.0 and The Open Definition