Volume 13 | Issue 4 |

 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

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyberbullying, ML Model, Accuracy

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Menopause

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prakruti pariraksana parijnana margalu - balala geyalu

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prakruti pariraksana parijnana margalu - balala geyalu

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainability accounting, Sustainability indicators, Disclosures, IDC and Stakeholders

  License

Creative Commons Attribution 4.0 and The Open Definition