Volume 13 | Issue 4

 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.

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 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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 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

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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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 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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 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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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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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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 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

 Abstract

In today's health-conscious and eco-friendly world, the demand for organic food products is steadily rising. The study titled "The Role of Green Marketing on Organic Food Products in Coimbatore City" focuses on understanding how green marketing strategies influence consumer awareness, preferences, and purchasing behaviour. With increasing concerns over health and environmental sustainability, consumers in Coimbatore are turning towards organic products. This study identifies customer awareness levels, the impact of green marketing tools like eco-friendly packaging and environmental messaging, and the challenges faced, such as high pricing and limited availability. It further suggests improvements in certification transparency, pricing strategies, and awareness campaigns to enhance the reach and effectiveness of organic food marketing in emerging urban markets

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Creative Commons Attribution 4.0 and The Open Definition

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Green Marketing, Organic Food Products ,Eco-,Friendly,Sustainable marketing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rise of social media, online communication has become more accessible, but it has also led to a surge in cyberbullying--where individuals face abusive and harmful content. The anonymity and reach of digital platforms have made it easier for such behavior to spread, posing serious mental health risks.This project presents a real-time cyberbullying detection system using Natural Language Processing (NLP) and Machine Learning (ML). Focusing on English, Marathi, and Hinglish, we collected live data via APIs and web scraping, followed by preprocessing and TF-IDF-based feature extraction. Models such as Random Forest, Logistic Regression, XGBoost, and Linear SVC were evaluated, with the Linear SVC and a stacked model performing best.The system detects and filters offensive content in real-time and features a user-friendly interface for both users and administrators, supporting safer and healthier digital interactions

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyberbullying, ML Model, Accuracy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The Tamil merchants verbalized a feeling of solidarity through trade guilds. Trade was the main channel of the mobilization of productive wealth from one place to another. Over Sea trade goes back two or three thousand years in which the medieval Tamil Kingdom in the South had a significant impact on sea trade by having fares and imports with urban communities to the extent of Rome and Greece. Horse trade was conveyed by the trader class under the Panday's and this prompted a cycle of change from an agrarian economy to agro mercantile economy in the Tamil country. The Over Sea trade of medieval Tamilagam was energetic and had built up all the auxiliary requirements of harbours, shipping, was the lighthouses, etc. The factor that added to the development of seaside Trade networks development of the hinterland in the Cauvery and thamiraparani river basins which thusly helped the ports on the coast to thrive. The ascent of merchant groups in a few pockets channelized the assets from the coastal trade towards the extension of abroad trade. Kayal' was a significant Port in the district during the 16th century. Pearls and chanks fished in the south beachfront territory were sent out through the port.

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Key words; trade,maritime,goods,ancient,medival

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Chronic Kidney Disease is a critical global health issue that demands accurate and timely diagnosis. The proposed system, CKD-Predict, leverages advanced machine learning algorithms such as Random Forest and XG Boost to provide reliable predictions. Utilizing the CKD dataset, it emphasizes rigorous data cleaning and preprocessing to handle missing values effectively. With a user-friendly web interface built using Flask, CKD-Predict ensures real-time accessibility for medical practitioners and healthcare institutions. This proposed system's adaptive machine learning backend continuously improves its prediction accuracy as more data is incorporated, making it a robust and evolving tool. By facilitating early detection and intervention, the proposed system assists healthcare professionals in identifying patients at risk, ultimately contributing to better management and outcomes for CKD cases. With its ability to process data efficiently and provide actionable insights, the proposed system aims to empower the medical community and improve the quality of life for CKD patients worldwide.

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 Keywords

Chronic Kidney Disease (CKD), Machine Learning, Random Forest, XG Boost, Flask.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Menopause is the period of time during which a woman passes from reproductive to non reproductive stage.Menopause means permanent cessation of menstruation at the end of reproductive life due to loss of ovarian follicular activity. The age of menopause is not related to age of menarche,race poverty,weight or height.

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Menopause

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Depression is a prevalent mental health disorder that significantly impacts an individual's quality of life. This study aims to evaluate the efficacy of individualized homeopathic medicine in the management of depression. A case series study was conducted on 30 patients diagnosed with depression, who were treated with homeopathic remedies based on their individualized symptomatology. The findings suggest that individualized homeopathic treatment may have a beneficial role in managing depression. Primary objectives of this study was to evaluate the effectiveness of individualized homoeopathic remedies in reducing depressive symptoms and enhancing quality of life. Methods: This case series study was conducted with 30 cases of depression, selected through stratified random sampling from the OPD/IPD of a homoeopathic medical college and hospital, peripheral OPDs, schools, and health camps. Each case was assessed and treated with individualized homoeopathic remedies. The severity of depression was evaluated using BDI score scale before and after treatment.Result: This case series study suggests that individualized homeopathic medicine may be effective in managing depression, as 20 out of 30 patients showed improvement. However, the lack of response in 10 patients indicates the need for further research with larger sample sizes and controlled trials to establish its efficacy more definitively.

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 Keywords

Keyword:-Depression ,sadness,insomnia ,disappointment ,anxiety.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prakruti pariraksana parijnana margalu - balala geyalu

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Prakruti pariraksana parijnana margalu - balala geyalu

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In electrical engineering, managing Bill of Materials (BOM), equipment manuals, standard drawings, and price lists is a critical yet time-consuming and error-prone process when handled manually. Traditional methods involve manual data extraction, validation, and organization, which often leads to inefficiencies, misclassifications, and procurement delays. To address these challenges, this research presents ElectroDrawManager, a machine learning (ML) and automation-driven solution for optimizing BOM management and document retrieval. ElectroDrawManager employs Optical Character Recognition (OCR) and Natural Language Processing (NLP) to extract data from PDF, DWG, and CSV files, ensuring structured storage in a centralized database. The system allows users to efficiently access equipment manuals, standard drawings, and price lists, reducing manual intervention and improving decision-making. Additionally, predictive analytics enhances the accuracy of BOM generation, ensuring better material forecasting and error detection. The proposed system integrates a user-friendly interface, enabling users to upload files, extract relevant information, and retrieve processed data seamlessly. Through automated classification and anomaly detection, ElectroDrawManager significantly improves workflow efficiency, data accuracy, and operational productivity in electrical engineering projects. This paper discusses the methodologies, technologies, and implementation strategies used to develop ElectroDrawManager, highlighting its potential in revolutionizing BOM and document management workflows.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bill of Materials (BOM),PDF, DWG, and CSV files

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cleaning is necessary or basic need of all humans and animals. We design and develop new fully manual operated manual operated road and floor cleaning machine which has simple mechanism and structure , light in weight which easily carrying anywhere. The road cleaner and floor cleaner machine which has wide range of applications. The working principle of machine is dependent on mechanical design. The intention of the project to develop manual process for cleaning road with brush. In railway station, fuel pump, airport, footpath, stadium, cinema hall , etc. In our project we use easily available material at less cost it no need of any fuel and pollution free machine it can be used in our daily life.

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Creative Commons Attribution 4.0 and The Open Definition

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Mechanism and structure , pollution free , manual operated , mechanical design , road cleaner , etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sustainability accounting has gained attention in recent years. The trend has become rampant in Zambia after singing the UN agreement agenda 2030. Despite being part of the agreement, SA adoption rate in Zambia has been low primarily due to the voluntary nature and the discretion exercised by management on year-end reports. The requirement by SEC to disclose the ESG activities has not been enough to mirror the adoption rate in the country as there are a number of large organizations not listed whose activities affect the society and environment. This led to conducting the study with a specific focus on IDC. The research objectives were to evaluate the current adoption levels of SA practices by companies under IDC, to identify factors affecting the application of SA by companies under IDC and to determine the strategies that IDC can adopt in order to enhance the SA practices. The overall results revealed a low level of disclosure a situation that has been gradually improving from a sustainability reporting index of 0.39 in 2017 to 0.49 in 2022. The low levels of disclosure were attributed to several factors such as lack of knowledge, additional costs, time constraints and lack of government initiatives. Statistical analysis revealed a significant correlation between the current level of adoption and the need to a mandatory adoption of sustainability accounting practice. The negative correlations indicated that higher levels of sustainability accounting practices corresponded with greater value creation for stakeholders.

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 Keywords

Sustainability accounting, Sustainability indicators, Disclosures, IDC and Stakeholders

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present-day rapid and technology-oriented supply chain scenario, real-time inventory decision-making is a crucial element of operational effectiveness as well as competitive edge. Conventional inventory systems usually do not possess the sufficient responsiveness and precision that can accommodate the demands of today. The merger of the Internet of Things (IoT) and Blockchain technologies holds a compelling answer to this dilemma. IoT allows ongoing real-time tracking of inventory using smart sensors, RFID tags, and networked devices, enabling precise tracking of stock levels, movement, and storage conditions. In contrast, Blockchain offers a decentralized, secure, and unalterable ledger that guarantees data transparency and integrity to all supply chain partners. By merging these two technologies, companies can create smart, automated, and data-based inventory systems. This article suggests a conceptual model that uses IoT for real-time data capture and Blockchain for secure data storage and automated decision-making. The model seeks to streamline inventory operations by enhancing visibility, trust, and enabling quicker, wiser decisions along the supply chain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT (Internet of Things), Blockchain, Inventory Management, Real-Time Tracking, Smart Contracts, Transparency, Security, Predictive Analytics, Supply Chain Optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's rural development plan has increasingly centered not only on developing infrastructure but also on the development of human capital in the form of skill upgradation and employment generation. Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDU-GKY), initiated by the Government of India, Ministry of Rural Development, is just such a flagship programme aimed at empowering rural youths by way of market-oriented skill training and employment. This research aims to measure the awareness of DDU-GKY among rural youth of Coimbatore district, Tamil Nadu, and evaluate its contribution to promoting sustainable rural development. The principal aim of this research is to measure the level of awareness, participation, and perceived effect of DDU-GKY among the intended beneficiaries. Aside from this, it also delves into the functions of different stakeholders such as training providers, local government units, and community leaders in the implementation of the program. The study is based on a mixed-methods research design where it merges quantitative surveys of 150 rural youth belonging to different blocks of Coimbatore with qualitative interviews of local government officials, training center coordinators, and program participants. Statistical tools and thematic content analysis were used to analyze the data to determine patterns and insights. Nevertheless, the impact of the programme on the beneficiaries has been generally positive. Improved skills, better employability, and, in a majority of cases, proper placement in retail, hospitality, and electronics industries were indicated by the beneficiaries. Even a few could transition into self-employment or entrepreneurship, which is testimony to the capacity of the scheme to generate livelihoods that are sustainable.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rural development, Skill development, Employment generation, Vocational training.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Numerology, the mystical study of numbers and their influence on human life, has been a topic of intrigue for centuries. Rooted in ancient philosophies and diverse cultures, numerology posits that numbers are not merely mathematical symbols but also carriers of spiritual and metaphysical significance. This paper explores how numerology serves as a tool to understand individual qualities and predict future possibilities. By examining its historical origins, methodologies, and applications, this research aims to evaluate the validity of numerology as a framework for personal insight and future forecasting.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Numerology, Future, Lens,

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Creative Commons Attribution 4.0 and The Open Definition