Rapid response during emergencies is essential for ensuring personal safety and minimizing harm. Raksh-Aid is a unified, web-based emergency management platform designed to overcome the limitations of fragmented safety solutions. The system integrates instant SOS alerts via SMS and email, real-time GPS location tracking, camera-based evidence captures, emergency service mapping, and cybercrime reporting within a single platform. A centralized administrative analytics dashboard aggregates alert data and categorizes incidents by severity to support informed decision-making by authorities. Built on a serverless, API-driven architecture using native Web APIs, Raksh-Aid ensures scalability, reliability, and offline-first functionality. Experimental results demonstrate low alert latency, high delivery success rates, and stable system performance, making Raksh-Aid an effective solution for modern emergency response and public safety management.
Introduction
Emergencies require fast, reliable, and coordinated responses, but existing safety solutions are fragmented, relying on multiple independent applications for SOS alerts, location sharing, evidence capture, and crime reporting. This fragmentation can delay responses and reduce overall effectiveness. Raksh-Aid addresses these challenges by providing a unified, web-based platform that integrates essential safety functionalities into a single system.
Key Features of Raksh-Aid
Multi-Modal SOS Alerts: Users can trigger instant emergency alerts, which share real-time GPS location with registered contacts via SMS and email.
Live Location & Emergency Services Mapping: Continuously tracks the user’s position and displays nearby services like police stations, hospitals, and fire brigades on interactive maps.
Camera-Based Evidence Capture: Browser-based module allows users to capture timestamped visual evidence linked to SOS alerts.
Cybercrime Reporting: Structured interface for reporting digital safety incidents with direct access to national cybercrime resources.
Administrative Analytics Dashboard: Centralized dashboard aggregates incident data, classifies emergencies by severity, and supports trend analysis, risk assessment, and resource allocation.
System Architecture & Technology
Lightweight, serverless, client-centric design for rapid responsiveness and offline-first operation.
Three primary layers:
Presentation Layer (user interface, core logic using HTML5, CSS3, JavaScript)
Cloud Services Layer (external APIs for mapping, communication, authentication, analytics)
Data Storage Layer (local storage for privacy, cloud synchronization for admin monitoring)
Technology stack: Leaflet.js with OpenStreetMap, Google Maps API, Firebase Authentication and Firestore, EmailJS for notifications, native Web APIs (Geolocation, MediaDevices, Web Speech).
User Authentication & Profile Management: Secure registration, profile management, emergency contacts, and alert history.
SOS Alert System: Single-action alerts with real-time location sharing and parallel SMS/email notifications.
Evidence Capture: Timestamped images associated with alerts for verification and legal use.
Live Mapping: Continuous location tracking with nearby emergency services highlighted.
Cybercrime Reporting: Reporting interface with direct access to national helplines and portals.
Admin Dashboard: Real-time monitoring, risk categorization (HIGH/MEDIUM/LOW), incident logging, and trend analysis for informed decision-making.
Evaluation and Results
Controlled testing with simulated emergency scenarios validated all modules.
Key outcomes:
User Registration: Secure onboarding with essential personal details.
SOS Alerts: Immediate confirmation and reliable delivery to contacts.
Emergency Services Directory: Quick access to national emergency numbers.
The system demonstrated stable, integrated performance across all modules, highlighting its potential for improving individual safety and administrative efficiency.
Conclusion
This paper presented Raksh-Aid, a unified web-based emergency management platform designed to address the limitations of fragmented safety solutions. By integrating essential functionalities such as user authentication, instant SOS alerting, real-time location tracking, camera-based evidence captures, emergency service mapping, cybercrime reporting, and administrative analytics, the system provides comprehensive support during critical situations.
The implementation results demonstrate that Raksh-Aid operates efficiently in real-time environments, achieving low alert latency, reliable multi-modal alert delivery, and stable system performance.
The centralized administrative dashboard enables authorities to analyse incident patterns, assess risk levels, and make informed decisions regarding resource allocation and public safety planning. Overall, Raksh-Aid enhances individual safety and institutional oversight, offering a scalable solution for modern emergency response systems.
References
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