Swaraksha: Comprehensive Safety Application for Community Protection

Abstract

By combining real-time geolocation intelligence with AI-driven image analytics, Swaraksha ia an innovative emergency response and community safety application. Its goal is to improve personal security, especially for women and children. K-Nearest Neighbours (KNN) algorithms and geospacial APIs provide optimal navigation to the nearest police station. Convolutional Neural Networks (CNNs) assess threat levels in real time by looking at crowd density and gender distribution. Some key features include continuous GPS tracking, immediate SOS notification, direct communication with guardians, notifications about geofenced crime zones, location-based reviews and a secure community chat with picture sharing. The backend uses Python frameworks like Flask or Django with MongoDB. This setup ensures scalability, low latency and secure data management. Firebase Cloud Messaging enables real-time notifications. Swaraksha is a connected safety ecosystem that enables users to report incidents, share verified safety updates and receive prompt assistance from authorities and the community. It is designed with modularity for future IoT and law wnforcement dashboard integration, going beyond traditional safety apps.