Accident Detection and Alert System Android App

Accident Detection and Alert System Android App

Alleshwar Sai Vamshi

Department of Computer Science and Enigneering, PIET (Parul university), Vadodara, India. aleshwarsaivamshi@gmail.com

Siva Srikanth Rachakulla

Department of Computer Science and Enigneering, PIET (Parul university), Vadodara, India sivasrikanth13@gmail.com

Sathwik Reddy Lingala

Department of Computer Science

and Enigneering, PIET (Parul university), Vadodara, India sathwikreddylingala147@gmail.com

Dr. Syed Ibad Ali

Department of Computer Science and Enigneering, PIET (Parul

university), Vadodara, India syedibad.ali34331@parulunivers ity.ac.in

Anna Teja

Department of Computer Science and Enigneering, PIET (Parul university), Vadodara, India annatejayadav448@gmail.com

Ms. Pragya Devi

Department of Computer Science

and Enigneering, PIET (Parul university), Vadodara, India.

Abstract— This Android application, developed with Kotlin in Android Studio, pioneers a holistic approach to road safety by seamlessly integrating Admin and User interface. The Flow Admin module empowers administrators with secure login, hospital management, user request tracking, and rapid SMS alert dissemination to designated medical facilities. On the User side, seamless registration, login, and a personalized dashboard enhance the overall user experience. Leveraging mobile phone accelerometers, the app introduces an innovative accident detection system. Abnormal accelerometer values automatically trigger support requests to administrators, ensuring swift assistance during emergencies. This pioneering system amalgamates cutting-edge technology with responsiveness, significantly contributing to the proactive identification of accidents and the timely dispatch of assistance in critical situations. The project aims to develop an Accident Detection and Alert System Android app. It intends to integrate accelerometer technology in mobile phones to detect accidents and send requests for support to administrators. The project is selected to address the critical need for timely assistance in road accidents. It will be helpful in reducing emergency response times and improving accident victim outcomes. The implementation can commence upon completion of development and testing phases. Beneficiaries include road users, emergency responders, and medical personnel, who will benefit from expedited assistance and improved coordination during accidents. Accident Guardian is an innovative Android application engineered to bolster road safety through its robust accident detection and alert system. Harnessing cutting-edge sensor technologies seamlessly integrated within smartphones, Accident Guardian continuously monitors the vehicle’s dynamics and surrounding environment. Leveraging GPS, accelerometer, gyroscope, and microphone sensors, the app employs sophisticated algorithms to analyze data in real-time. This analysis enables the app to swiftly identify potential accident scenarios, such as sudden deceleration, impact forces, or anomalous sounds indicative of collisions. . In the event of an accident, Accident Guardian promptly triggers alerts, disseminating instant notifications to pre-defined emergency contacts. Keywords— Security Measures, Encryption, Secure Authentication, Multi-Factor Authentication, Cyber Threats