Volume 13 | Issue 4 |

 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.

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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)

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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.

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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

 Abstract

This study examines the impact of online reviews and ratings on consumer purchasing decisions in the e-commerce space. With increasing reliance on digital platforms, customer feedback plays a key role in shaping trust and influencing buying behavior. Based on a survey of 140 respondents in Coimbatore, the research highlights that while positive reviews boost confidence, fake or negative reviews can discourage purchases. It also explores the role of social media and influencer opinions. The study identifies that customers prefer reviews with photos or videos and often check ratings before buying. Using tools like percentage and Likert scale analysis, the study concludes that authentic, verified reviews and effective review management are essential for enhancing customer trust and improving online sales.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online reviews, Ratings, Consumer behavior, E- commerce, Purchase decisions, Customer trust, Customer feedback

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The law of abortion in India is governed primarily by the Medical Termination of Pregnancy (MTP) Act, 1971, which was enacted to provide a legal framework for safe and lawful abortion, aiming to reduce maternal mortality and morbidity associated with unsafe abortions. The Act has undergone significant amendments, most notably in 2021, to expand access and reflect changing societal and medical perspectives. Under the MTP Act, abortions are permissible up to 20 weeks of gestation under specific conditions, and up to 24 weeks for certain categories of women, such as survivors of rape or incest, minors, and those with fetal anomalies, with the approval of one or two registered medical practitioners depending on the duration of the pregnancy. The law seeks to balance a woman's right to reproductive autonomy with the state's interest in protecting potential life and ensuring the procedure's medical safety. Despite its progressive amendments, the law has been critiqued for its provider-centric approach, where medical practitioners act as gatekeepers, and for lacking an explicit recognition of abortion as a fundamental reproductive right. Judicial pronouncements, particularly from the Supreme Court, have increasingly emphasized bodily autonomy, privacy, and reproductive choice as integral to the rights guaranteed under Article 21 of the Constitution. In conclusion, while India's abortion laws are relatively liberal compared to many other countries, there remain challenges in access, awareness, and implementation that must be addressed to ensure reproductive justice for all women, especially those in marginalized communities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LAW OF ABORTION ,MEANING OF ABORTION, GROUND OF LEGAL ABORTION, LAW ON ABORTION IN INDIA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper is devoted to the mother tongue influences on second language learning at the secondary level of education in Tripura. Secondary sources of data are its basis, and by taking care of or taking into consideration Tripura's linguistic communities and diversity, the paper is moulded in a way that further development and research can be done. The language groups, tribal and non tribal communities and their languages are surveyed and remarks or findings based upon those bases further possibilities are discussed. How mother tongue can become a vehicle for second language learning is the focal point and relying upon this results discussion possibilities further provisions and conclusions are knitted in a Vivid manner. Mainly the Tibeto- Burman language groups and Indo-Aryan groups or language families are greater in no in Tripura and languages and dialects of those communities are there in the school curriculum as well as served as a means of communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mother tongue, Secondary Education, Indo-Aryan language group, and Tibeto- Burman language group

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Oracle Cloud integration with third-party systems is the core element of enterprise IT architecture in the current era, allowing continuous data streams and increased interoperability between systems. However, despite increasing adoption of cloud computing and the rich feature set of Oracle Cloud, there are significant barriers to efficient and secure integration with third-party systems. These are data silo management, ensuring data quality and consistency, reducing security risks, and coping with the disparity in data model complexity. The literature presents several integration strategies, such as API-based, event-driven architectures, middleware solutions, and microservices; however, there are lacunae in understanding how to integrate these approaches in an overall manner to get the best performance. There are fewer studies on how the newer emerging technologies such as artificial intelligence, blockchain, and low-code/no-code solutions can assist in overcoming the integration complexities. The research gap identified relates to the need for the creation of more adaptive, automated, and scalable integration solutions that can suitably address the changing needs of businesses operating in multi-cloud and hybrid environments. While the existing literature largely focuses on different integration frameworks and tools, there is a substantial shortage of research into their practical application, particularly in large, multinational organizations. This review synthesizes and examines existing research between 2015 and 2024, identifying key strategies for preventing integration issues while also suggesting areas that need further research. It emphasizes the need to utilize interdisciplinary approaches that combine automation, security, and compliance frameworks to enable efficient, secure, and scalable Oracle Cloud integrations with external systems. Bridging these gaps is important to drive advancements in cloud integration approaches and to promote more integrated and interoperable enterprise environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oracle Cloud, third-party system integration, data flow, systems interoperability, cloud integration challenges, API integration, event-driven architecture, middleware, microservices, automation with AI, blockchain security, low-code platforms, hybrid cloud, multi-cloud, data synchronization, integration frameworks, enterprise systems.

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Creative Commons Attribution 4.0 and The Open Definition

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Mental well-being is an important aspect of overall health, encompassing emotional, psychological, and social elements. This paper details the development of a comprehensive digital platform designed to enhance mental well-being through practical measures, including stress management techniques, therapeutic assistance, and opportunities for community interaction. Informed by recent research findings, the platform addresses the increasing mental health difficulties resulting from contemporary life pressures. It employs technology to provide accessible resources, establish supportive networks, and deliver therapeutic options, aiming to improve mental health outcomes across diverse populations. The platform adopts an integrated approach, incorporating digital tools, data-driven insights, and individualized care plans to maximize user engagement and effectiveness. Furthermore, it seeks to overcome prevalent obstacles in traditional mental health services, such as stigma, limited availability, and elevated costs, thereby fostering a more inclusive and efficient support framework.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mental well-being, Stress, Anxiety, Therapy, Digital Platform, Counselling, Mindfulness, AI, Support, Mental Health

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study looks into the growing need for Pipe Distribution Networks (PDNs) in Maharashtra's Sindhudurg district--a region known for its coastal setting, rugged terrain, and high annual rainfall, averaging around 3,287 mm and reaching up to 4,242.5 mm in places like Sawantwadi. Despite receiving substantial rainfall, the district still experiences seasonal water shortages, mainly due to inefficiencies in traditional irrigation systems like open canals. These systems often lose large amounts of water through seepage and evaporation and struggle to function effectively in hilly or uneven landscapes. While projects such as the Dhamapur Dam and the Sarambala Medium Irrigation Scheme have contributed to local irrigation efforts, they frequently fall short in delivering water equitably and efficiently across the region. This paper evaluates the feasibility of introducing PDNs by analyzing Sindhudurg's geography, climate, and agricultural practices using field observations, stakeholder feedback, and official records. The findings suggest that PDNs could significantly enhance water use efficiency, encourage the adoption of micro-irrigation, and promote sustainable farming methods--offering a practical and replicable model for other similarly challenged regions in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pipe Distribution Network (PDN), Annual Rainfall, Culturable Command Area

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Early and accurate identification of lung diseases is crucial for effective treatment and patient care. In this study, we propose a Convolutional Neural Network (CNN)-based lung disease detection system, integrated with image processing techniques, to classify various pulmonary conditions from chest X-ray images. The model demonstrates high accuracy in identifying diseases such as pneumonia, tuberculosis, and COVID-19. This approach leverages pre-processing techniques, data augmentation, and a deep learning model trained on publicly available datasets. The results indicate that AI can significantly enhance diagnostic accuracy and support radiologists in clinical settings

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, Lung Disease Detection, Image Processing, Deep Learning, Chest X-Ray, Medical Imaging, Pneumonia, Tuberculosis, COVID-19

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Creative Commons Attribution 4.0 and The Open Definition