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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com
Title : A Real-Time Web-Based Road Accident Alert System Using Python Full Stack
Author : Dr.G.Prasuna, Boddu kavya, Bethalam Mohan Raju, Kesanapalli Nasar Teja, Ankem Hari Krishna
Abstract :
Road accidents remain a major public safety concern due to delayed communication between victims and emergency responders. This paper presents a real-time web-based Road Accident Alert System developed using a Python full-stack architecture to enable instant reporting and efficient coordination among emergency services. The proposed system allows users to report road incidents through a web interface, which are immediately routed to role-specific dashboards for police, ambulance, and fire departments. Flask is used for backend processing, while MongoDB ensures scalable and flexible data storage. The system eliminates manual reporting delays and provides structured incident logging, improving emergency response time and operational efficiency. Experimental results demonstrate that the system offers reliable real-time alerting and role-based access control, making it suitable for deployment in both urban and rural environments.