Volume 13 | Issue 4 |

 Abstract

Real-time exercise monitoring is important to ensure pro per shape, maximize training efficiency and prevent inju ries. In this project, FIT Mentor: AI Fitness Monitoring System, Computer Vision-based Approach, OpenCV and MediaPipe will be used for Skelett-Kypoint detection an d exercise duties. The system analyzes user movements a nd provides immediate feedback on training forms witho ut the need for portable sensors. By integrating dynamic motion analysis with individual iteration counting algori thms, the system closely evaluates training performance. A simple implementation ensures efficient delivery of co nsumer devices and creates accessible fitness solutions. E xperimental results demonstrate the effectiveness of the s ystem in real-time exercise and demonstrate the potentia l to improve the accuracy and accessibility of training ses sions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Fitness Trainer, Smart Workout Tracking, Exercise Monitoring System, Virtual Personal Trainer, Fitness Automation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Chemical thermodynamics and statistical physics are two interconnected fields that provide a comprehensive understanding of energy transformations and molecular behavior. Chemical thermodynamics focuses on macroscopic properties such as enthalpy, entropy, and free energy, governing chemical reactions and phase transitions. In contrast, statistical physics explains these macroscopic properties by analyzing the microscopic behavior of molecules, using probability distributions and ensemble theory. The integration of these disciplines allows for more accurate predictions of thermodynamic properties and enhances our understanding of complex chemical systems

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chemical Thermodynamics, Statistical Physics, Energy Transfer, Molecular Interactions, Thermodynamic Laws, Statistical Mechanics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A real-time system for human facial expression and stress recognition leveraging Convolutional Neural Networks (CNNs). The proposed framework captures facial cues through live video feed and classifies them into emotional states--such as happiness, sadness, anger, and surprise--while simultaneously estimating stress levels. By integrating spatial feature extraction with temporal dynamics, the model achieves high accuracy and low latency, making it suitable for deployment in edge devices and real-world applications like remote healthcare, adaptive learning, and smart environments. The system is trained on annotated datasets combining facial expression benchmarks and physiological stress indicators. Experimental results demonstrate the model's robustness, outperforming traditional classifiers and achieving real-time performance without sacrificing accuracy. This research advances affective computing by offering a scalable, non-invasive tool for emotional and stress-aware human-computer interaction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-time recognition, facial expression analysis, stress detection, convolutional neural networks (CNN), affective computing, human-computer interaction, emotion recognition, deep learning, non-invasive monitoring, intelligent systems.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In relation to increasing environmental problems over the usage of synthetic plastics, the demand for biodegradable and sustainable packaging materials has beneficial application in recent years. The natural, plant-based films are biodegradable, non-toxic, and even edible, making it an ideal candidate for creating eco-friendly packaging solutions. This study virtues developing and characterizing quality of edible packaging films derived from okra (Abelmoschus esculentus) mucilage, which is a natural polysaccharide having initial film-forming capabilities. The film formulations carry varying plasticizer concentrations which enhance mechanical and barrier properties regarding production of sustainable packaging film. Okra mucilage is a key component in the development of edible films for food packaging applications. The unique properties of okra such as its ability to retain moisture and form strong, flexible films, make it a viable alternative to conventional packaging materials. The use of Okra mucilage to enhance the film's mechanical strength, barrier properties, and resistance to microbial growth is beneficial and adequate idea to overcome challenges such as improving durability and scaling up production and potential benefits of reducing plastic waste, food preservation, sustainable alternative. This review provides a comprehensive look at how okra mucilage could play a crucial role in the future of sustainable, edible packaging.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Okra mucilage, edible packaging film, biodegradable material, food packaging.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Atmanirbhar Bharat initiative aims to promote self-reliance by encouraging the production and consumption of Indian-made goods. This study examines consumer awareness and perception of the initiative, focusing on their preferences, purchasing behavior, and factors influencing their choices. A survey-based approach is used to collect primary data from consumers across different demographics. The findings highlight the level of awareness among consumers, their inclination toward local products, and the challenges faced in adopting Indian brands over foreign alternatives. The study also explores the role of quality, pricing, and brand trust in shaping consumer decisions. The results provide insights for policymakers and businesses to enhance the effectiveness of the Atmanirbhar Bharat movement and strengthen domestic industries.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Atmanirbhar Bharat, self-reliance, Consumer awareness, purchasing behavior, economic policies

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid advancement of software development technologies has significantly increased the complexity and scale of modern codebases. As a result, debugging and code comprehension have become more time-consuming and error-prone, particularly for novice programmers. This paper presents a novel AI-powered system designed to provide real-time code debugging, intelligent suggestions, and personalized learning support. Leveraging machine learning models, natural language processing, and static/dynamic code analysis techniques, the proposed assistant can detect common coding errors, offer context-aware recommendations, and explain programming concepts interactively. The system is integrated into popular development environments, enabling seamless and intuitive user interaction. Through extensive testing across various programming languages and real-world scenarios, our tool demonstrates improved debugging efficiency, faster learning curves, and reduced dependency on external documentation. This research contributes to the evolution of intelligent programming assistants, aiming to bridge the gap between coding education and professional development practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-time debugging, code suggestions, AI assistant, programming education, intelligent IDE, machine learning, code analysis, software development tools, NLP in programming, developer productivity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Citizenship Amendment Act (CAA), enacted in December 2019, has emerged as a pivotal and contentious issue within India's political landscape, sparking widespread debate and mobilization across various segments of society. This legislation, which provides a pathway to Indian citizenship for specific religious minorities--namely Hindus, Sikhs, Buddhists, Jains, Parsis, and Christians--from neighboring countries such as Pakistan, Bangladesh, and Afghanistan, has been met with both fervent support and vehement opposition. Notably, the CAA's explicit exclusion of Muslims has raised significant concerns regarding its alignment with the secular principles enshrined in the Indian Constitution, which guarantees equality and non-discrimination to all citizens, irrespective of their religious affiliations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Citizenship Amendment Act (CAA), Secularism, Religious Minorities, Political Controversy, Public Mobilization, Constitutional Equality, Discrimination.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract This article describes the trade and commerce during the early period of the Sangam age. Trade emerged as a result of peoples need and as a part of economic activities. The ancient period trade was based on the Barter system known as Pandamattumurai (exchange of goods and services).Tamilagam had brisk trade relations through inland and external. Sangam works like Agananuru, Maduraikaanji, Manimegalai, Pattinapalai, Purananooru and various inscriptions from Alagarmalai, Pugalur, Mangulam and etc. proves that trade existed with well-established market system. The Sangam times morning and evening markets existed with caravans, security, marts, guilds and the commerce of chamber. In the Inland trade salt and paddy was considered as the medium of exchange, In External trade cotton and sandal as considered as medium of exchange.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords : Sangam age ,Barter system , Tondi , Musiri , Puhar , Korkai

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The pharmaceutical industry continues to face significant challenges in re-ducing costs and timelines associated with drug discovery and develop-ment. Artificial intelligence (AI), particularly machine learning (ML) appli-cations in molecular modeling, has emerged as a transformative asset. This white paper reviews the technological advancements and challenges in ap-plying AI to drug discovery over the past five years (2018-2023), empha-sizing FDA-approved drug development processes. This paper provides a comprehensive comparative analysis of AI models, detailed case studies from leading pharmaceutical companies, and a discussion on the regulatory frameworks and compliance standards governing AI in pharmaceutical research. In this study, we inves-tigate how molecular modeling accuracy rates have improved and identify key implementation challenges, including data quality, interpretability of results, and integration into existing research workflows. The discussion is tailored for pharmaceutical researchers with an intermediate grasp of ma-chine learning concepts, aiming to bridge the gap between research and prac-tical application

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Molecular Modeling, Drug Discovery, Machine Learning, Data Mining, Computational Chemistry, Predictive Analytics

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present work was aimed to study the prevalence of salmonella from fresh fruits and vegetables and to determine the effect of some household cleaning methods in controlling Salmonella infection Collection of various fruits i.e. Apple, Mosambi, Pomegranate, Chiku, Guava and vegetables that is Fenugreek, Cabbage, Cauliflower, Bitter gourd, Spinach, Green Sorre from local market of Akola. Isolation an of Salmonella sp. from fresh fruits and vegetables were done. Different household cleaning methods were used to check the decrease of Salmonella load. Effective control measures should be implemented to improve the Microbiological quality of fresh produce .Therefore it is concluded that the tested basic decontaminating agents have the potential to control the no. Similarly household washing can assure the safety during consumption of fresh Fruits and vegetables

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Salmonella, Fresh Fruits and Vegetables, Household Washing

  License

Creative Commons Attribution 4.0 and The Open Definition