Volume 13 | Issue 4 |

 Abstract

Skip the Line is a web-based standalone application designed to modernize the medicine dispensing process in hospitals by eliminating the need for physical queues. It enables seamless interaction between patients, pharmacy staff, and administrators through an intuitive interface. Patients can register, log in, and upload prescriptions as in-patients or out- patients. Each prescription receives a unique tracking ID, allowing users to monitor their request status in real-time. The system also integrates online payment functionality via Razor pay, ensuring a smooth and secure checkout experience. Built using Python Flask for the back end and MySQL for database management, the application also features email notifications using SMTP and PDF bill generation via the ReportLab library. An admin dashboard allows hospital staff to manage prescriptions, update inventory, track user logins, change statuses, and generate bills. Additionally, a built-in chat bot enhances user experience by addressing frequently asked qustions related to medicines, uploads, payments, and system usage. Overall, the platform aims to reduce patient waiting times, enhance operational efficiency, and provide a secure, contact less pharmacy experience. This solution aims to improve patient satisfaction by optimizing the pharmacy workflow and reducing wait times, ultimately enhancing the overall hospital experience

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 Keywords

Medicine Dispensing System Hospital Pharmacy Automation Queue Management Web-Based Healthcare Application Prescription Tracking Patient-Centric Systems Flask Web Framework MySQL Database Razorpay Integration PDF Bill Generation Email Notifications (SMTP) Admin Dashboard Inventory Management Healthcare Chatbot Real-Time Status Monitoring Contactless Pharmacy Solution Healthcare Workflow Optimization Patient Satisfaction Digital Prescription Upload In-Patient and Out-Patient Ser

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India's relationship with narcotic drugs and psychotropic substances is complex, considering its historical, cultural, and geographical background. Although the nation has used some narcotic substances such as opium and cannabis for medicinal and religious purposes historically, the increasing trend of drug abuse and trafficking has made it imperative to adopt stringent legal policies. The Narcotic Drugs and Psychotropic Substances Act, 1985 (NDPS Act) is the main legislation controlling, regulating, and punishing narcotic drugs in India.

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TRACING THE ORIGIN AND SIGNIFICANCE OF NDPS ACT: A HISTORICAL PERSPECTIVE

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Diasporic literature has always been associated with the loss of identity, the quest for self, nostalgia, and uprootedness from culture and tradition. Home away from home has always been difficult, and now in this 21st century with all the technological advances, it still feels the same. With all these developments in science and technology, it is not always easy to come back to our homeland. With all the adjustments made by us away from home, we somewhere try to create our own identity in a new land. On the verge of creating our own identity, we tend to lose ourselves more. Diasporic writers such as Kiran Desai, Rohinton Mistry, V.S. Naipaul, Jhumpa Lahiri, and Chitra Banerjee Divakaruni have spoken about identity loss, and their stories are always about identifying and creating one's own identity. The Mistress of Species (1997) by Chitra Banerjee Divakaruni is the story of Tilo and her transformation into Maya, where she identifies herself. This paper will focus on the journey of Tilo and her experiences with other characters who are all lost in a foreign land. The magical effects of the spices helped the characters deal with their problems. When Tilo stepped out of her store to assist someone, she broke free from the chains tied to her which represents the society and the role of women who are always guided by society. It is true that in today's time we have come far away from these situations, but doesn't it still feel the same when a woman suddenly does something that she was not expected to do? Globalisation has made us all come together and has helped us to reach a post-modern world, but still creating our own identities and discovering ourselves will always be a continuation for all the upcoming generations.

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 Keywords

Indian Diasporic Writing, Self-quest, loss of identity, Nostalgia, Homeland.

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Over the years, youth entrepreneurship has become a key driver of innovation, employment, and economic development in India. Seeing its potential, the Government of India initiated the 'Startup India' program in 2016 to develop a strong ecosystem that fosters entrepreneurial culture among the youth. This paper discusses the role of such government programs in encouraging and maintaining youth-led startups throughout the nation. Based on an in-depth analysis of policy initiatives, financial support schemes, skill development initiatives, and regulatory changes launched under the Startup India initiative, the research assesses the effectiveness of these interventions among young entrepreneurs. It also analyzes the issues confronted by youth in availing benefits and regional variations in startup development. Based on secondary data, case studies, and current trends, the paper showcases the success of Startup India in empowering future generations of entrepreneurs while providing recommendations on how to further increase the inclusivity and sustainability of such efforts.

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Start-up India, youth entrepreneurship, government initiatives, innovation ecosystem, economic development

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Creative Commons Attribution 4.0 and The Open Definition

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Indian Micro, Small, and Medium Enterprises (MSMEs) are vital to the nation's economy, significantly contributing to GDP, exports, and employment. While globalization and digital transformation present opportunities for these enterprises to expand internationally, numerous challenges hinder their progress. This paper explores these obstacles, including lack of digital infrastructure, technological illiteracy, financial constraints, regulatory complexities, logistical inefficiencies, and difficulties in building trust in foreign markets. The paper presents a multi-faceted approach to address these challenges, encompassing policy reforms, capacity building initiatives, technological advancements, and financial support. It also studies the use of blockchain for secure transactions using Escrow Payment System, Artificial Intelligence for personalized customer engagement, and fintech solutions for seamless cross-border payments. By identifying key policy recommendations, technological interventions, and best practices, this study aims to contribute to the sustainable digital globalization of Indian MSMEs, ensuring their competitiveness in the ever-evolving global economy.

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MSME's, Exports, Logistics, Blockchain, Escrow Payment System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Detection of Chronic Heart Failure (CHF) is essential for effective intervention and improved patient outcomes. Traditional diagnostic methods, including ECGs and echocardiograms, require specialized equipment and expertise, making them less accessible in resource-limited environments. Modern approach is that an automated CHF detection system leveraging machine learning (ML) techniques, specifically the Random Forest classifier, to analyze heart sound recordings (phonocardiograms - PCG) for easy and simple approach for detecting the CHF risk. This helps the patient to take the required precautions and avoid the risk of the CHF. This project reviews the detection of the CHF risk and helps accurately analyze Heartbeat of a person.

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CHF, ECG, PCG, Random Forest, Web Interface

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To detect and predict heart attack, we use the dataset from the UCI repository by the use of machine learning classifiers. Enhancing accuracy, facilitating early detection, and allocating healthcare resources as efficiently as possible are the objectives. Our main goal is to identify most suitable classifier which we can use for diagnostic applications. To predict heart disease, we use several machine learning approaches are used and compare their accuracy to get best result.This study discovered that the RF approach obtained 78% accuracy coupled with 100% sensitivity and specificity utilizing a heart attack dataset that we gathered from Kaggle three-classification based on k-nearest neighbor (KNN), decision tree (DT), and random forests (RF) algorithms. To construct a model training and testing of data evaluated. Accuracy, precision, recall, and F1-score were used to evaluate the models. With an accuracy of 80.33%, the SVM model outperformed the others.

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Concept of Rajdharma in ancient India and its study in the perspective of Indian constitution

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Concept of Rajdharma in ancient India and its study in the perspective of Indian constitution

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Creative Commons Attribution 4.0 and The Open Definition

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Blood group identification plays a pivotal role in critical medical applications such as blood transfusions, organ transplantation, and trauma care. Conventional methods for determining blood type involve invasive procedures, specialized reagents, and trained personnel--factors that often hinder immediate response in emergencies and limit access in remote or under-resourced environments. This project introduces an innovative, non-invasive method for blood group detection using fingerprint image processing. By leveraging the uniqueness of fingerprint biometrics and the capabilities of modern machine learning techniques, particularly Convolutional Neural Networks (CNNs), the system aims to classify blood groups (A+, A-, B+, B-, AB+, AB-, O+, O-) solely based on fingerprint patterns. This project aims to develop an automated blood group detection system using image processing and fingerprint analysis to provide a non-invasive and rapid approach. The proposed system integrates computer vision techniques using algorithms and AI to interpret images encompassing tasks like image classification, often leveraging deep learning models like Convolutional Neural Networks (CNNs) and biometric analysis to determine an individual's blood group.

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 Keywords

Blood Group Detection, Fingerprint Biometrics, Image Processing, Convolutional Neural Network (CNN),Minutiae Extraction

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