Volume 13 | Issue 4 |

 Abstract

This research addresses the challenge of inefficient and often insecure information retrieval in college settings by proposing an intelligent conversational interface. We developed a chatbot system that allows users including Heads of Departments, Professors, and Students to query a MongoDB database containing institutional data using natural language. The system employs Retrieval-Augmented Generation (RAG) orchestrated by Langchain, using FAISS vector stores and the Gemini 1.5 Flash as the LLM via Google AI API to provide contextually relevant and factually grounded answers, minimizing LLM hallucinations. A key contribution is the tight integration of Role-Based Access Control (RBAC), ensuring data access aligns strictly with user roles through index and metadata filtering. Furthermore, post-retrieval filtering is implemented to enhance the LLM's accuracy when handling specific tasks like counting. Built with Streamlit, the chatbot offers a user-friendly platform for secure, role-appropriate, and efficient access to college information, streamlining data interaction for all user groups.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords - Retrieval Augmented Generation (RAG), Langchain, FAISS, Gemini 1.5 Flash, LLM, Google AI API, Role Based Access Control (RBAC), Streamlit

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The objective of the present study is to concentrate on Sahgal's major issues throughout her novels which is the suffering, anguish, pain, and identity faced by the women in the male-dominated society. I have done my best to convey that Nayantara Sahgal's journey as a female writer begins with her quest for selfhood and culminates in her achievement of it. She detests cruelty and pain because of humanitarianism. She supports Indian women's rights and emancipation and is very sensitive to their plight. Sahgal delves deeply into female psyche in almost of her novels. She has the ability to examine them with empathy and tenderness. As a female novelist, her primary goal is to advocate women's empowerment. Sahgal is incredibly worried about her women's personal fear, the loneliness and alienation, and by the fallout of marriages. Sahgal's female characters suffer because they are always fighting to maintain their uniqueness and individuality at whatever costs. She plays married women who endure a lot of hardships, and when their marriages become oppressive, they ultimately decide to file for divorce. She depicts her women's life filled with suffocation, pain, anxiety and suffering. To get free from this suffocating atmosphere the women choose only divorce.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity, Agony, Pain, Suffering, and Patriarchal society

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Heart disease is one of the leading causes of death in the globe. Non-fatal myocardial infractions or sudden deaths without any warning indications occur in around 25% of cardiac patients. Thus, silent myocardial infractions (SMI) are another name for silent heart attacks, which might be completely asymptomatic or have symptoms so mild that patients are unable to identify them. Nevertheless, the symptoms might not always be detectable by the ECG. On the other hand, sobbing, chest discomfort, and chilly chills are symptoms of a conventional heart attack. Despite their subtle look, they are equally harmful to the heart and provide significant long-term health risks. A survey-based study was conducted among 1,000 patients with diagnosed heart disease. Patients were divided into four groups based on their symptoms Group 1 (asymptomatic), Group 2 (mild symptoms), Group 3 (moderate symptoms), and Group 4 (severe symptoms). Electrocardiogram (ECG) and echocardiogram tests were performed to detect silent heart attacks. The prevalence of asymptomatic silent heart attacks was significantly higher in Group 1 (23.1%) compared to Group 2 (12.5%), Group 3 (8.3%), and Group 4 (4.2%). Multivariate analysis revealed that age, diabetes, and hypertension were significant predictors of asymptomatic silent heart attacks.We believed that the fundamental processes of SMI involved a reduction or obstruction in the heart's blood flow, up on forming plaques. The following patient groups are subjected here are like Hypertension and hyper lipidaemia, diabetic, elderly,women, and smoking, Increased awareness regularly screening and preventive measures are essential to mitigate the silent threat by these unrecognised heart attacks. This study highlights the importance of regular cardiac screening for patients with heart disease, regardless of symptoms. Asymptomatic silent heart attacks are more common than expected, and early detection can prevent further cardiac damage.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SMI - Silent Myocardial Infraction, HTN - Hypertension, SOB - shortness of breath, CVD - cardiovascular diseases, DM- Diabetes mellitus, CAD - coronary artery disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sleep disorders can significantly impact an individual's overall health and well -being, making early detection crucial for effective intervention. This project presents a machine learning-based approach to detecting and classifying sleep disorders using health-related data. The dataset used included key features such as sleep duration, quality of sleep, physical activity levels, stress levels, body mass index (BMI), blood pressure, heart rate, and daily step count. To ensure accurate classification, multiple preprocessing steps are applied, including categorical encoding, feature scaling, and handling missing or duplicate values. The system utilizes a Random Forest classifier, trained on preprocessed data to predict potential sleep disorders. The model is evaluated using accuracy metrics and a classification report to ensure its reliability. The functionality is made accessible through a Flask-based web application, where users can input their health parameters and receive instant predictions regarding their sleep health. The system is designed to assist individuals in understanding their sleep patterns and taking necessary steps toward improved well-being. By leveraging machine learning, this project provides an efficient and user-friendly tool for sleep disorder prediction and awareness.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sleep Disorders, Machine Learning, Random Forest Classifier, Flask Web Application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sustainable husbandry is vital due to environmental degeneration, resource reduction, and food movie goods. The devilish use of synthetic mulches contributes to these cases, causing plastic affliction. This project aims to develop biodegradable mulch mats applying natural resources like coconut coir, banana fibers, and neem extract. These biodegradable mats extend an volition to plastic products, furnishing moisture retention, weed control, and perfected soil health. The project tried these mats against usual plastic mulches under real agricultural conditions for moisture retention, weed control, and common or garden or theater or theater crop gain improvement. goods showed off that the biodegradable coconut coir mulch mat held bettered soil moisture than the plastic mulch, and the neem extract was salutary in chording pests and suppressing arising weeds. The mats had a conducive rate of degeneration in soil, making them useful for seasonal husbandry without compromising soil fertility. Crop plant were elevated, especially for thirsty crops. Biodegradable mulches made from coconut coir, banana fiber, and neem extracts have a degeneration rate that is farther permissible than plastic, offering a doable means of minimizing plastic mulching. These mats also support loosen soil's medicinal groupings, retain moisture, and rebut pests. perfecting environmental sustainability in husbandry could enhance productivity and palliate husbandry's negative environmental jolt.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainable Agriculture, biodegradable mulch, coconut coir,banana fiber, neem extracts, needle punch.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Regression, Decision Tree, Random Forest Regressor, XGBoost Regressor.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an AI-powered web application for automating petition analysis and grievance redressal. The system allows users to securely submit petitions, automatically classifies them into appropriate departments, and prioritizes urgent or critical cases. It identifies repetitive grievances to avoid duplication, supports better resource allocation, and sends timely reminders to officials to ensure prompt resolution. To enhance transparency and user trust, the system provides real-time petition tracking and regular status updates to petitioners. It uses sentiment analysis to determine the emotional intensity of each petition, aiding in urgency detection. Additionally, the application is built on a scalable cloud-based infrastructure to ensure reliability and data security. By integrating intelligent automation, sentiment-based prioritization, and real-time communication, the proposed solution streamlines grievance handling, improves administrative efficiency, and fosters accountability in governance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered petition analysis, grievance redressal system, automated petition tracking, governance transparency.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the socio-economic status of beggars and causes of begging at the Magh Mela in Prayagraj, Uttar Pradesh. It focuses on the disparities among beggars and also on factors influencing beggary. The primary data was collected through interviews schedule of 100 respondents. In this study, the researcher has found variations in socio-economic conditions among beggars and identified key reasons for their beggars. The study shows that Scheduled Tribes (ST) and younger people tend to earn less money compare to other groups. The key causes of begging are insufficient pay, health issues, and family pressure in this study area. The Chi-square tests confirm significant variations in per day income among different community and age categories, which highlight the deep-rooted socio-economic inequalities. The study states that improving wages, enhancing healthcare access and implementing appropriate social support programs will be crucial for addressing the root causes of begging. A comprehensive and integrated strategy of economic, health, and social factors is essential for improving the well-being of beggars and reducing begging in the study area. The research states that it is need to take specific actions to tackle these complex problems that are faced by beggars.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Begging, Magh Mela, per day income, Socio-economic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Setting up your own Ethereum wallet is straightforward using the official MyEtherWallet service. Here's a streamlined guide to get you started: When you visit the MyEtherWallet site, you'll first encounter important security notices. These deserve your careful attention as they provide crucial information about protecting your digital assets and understanding fundamental wallet operations. After reviewing the security information, you'll be prompted to establish a new wallet by creating a strong password. Following this step, you'll have the opportunity to download a keystore file - a security measure worth taking advantage of. Store this file in a secure location for safekeeping. The most critical part of the process is securing your private key. Take multiple precautions with this information: create backups, commit it to memory, record it physically and store it somewhere highly secure like a safety deposit box. These steps are essential to prevent both loss and unauthorized access. To access your wallet, you can either enter your private key or upload your keystore file. While other access methods exist, these two approaches are particularly suitable for newcomers to cryptocurrency wallets.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethereum virtual machine, Decentralized finance, Smart Contract, CryptoKitties

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Online test material providers should concentrate on developing strong assessment questions and giving students timely feedback on their exams. Within the article, we offer methods related to the components of the evaluation procedure: submitting responses, using automated grading, and providing comments following submission. The coordination of people, goods, and computers in a modern company becomes crucial as these days' companies are automated and computers follow instructions. Through this project, the system can be communicated with by the administrators, the instructor, and the students taking the online exam. This allows for the efficient implementation and monitoring of the various activities associated with online exams, such as scheduling exams and sending results to the individual user or student. Students who attempted the online exam have their information kept on file by the administrator.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

User-Friendly Assessment Systems, Education, Online Exam System, Educational Institutions

  License

Creative Commons Attribution 4.0 and The Open Definition