Volume 2 - Issue 1, January - February 2026

Road traffic accidents remain one of the leading causes of death, mainly because emergency assistance often does not reach the victims in time. In several cases, accidents go unreported for a long duration due to the absence of witnesses or the unconscious state of the injured person. This work presents “AcciAlert”, an automatic accident detection and alert system implemented using a Raspberry Pi platform. The system identifies accident conditions by monitoring abrupt changes in acceleration, vehicle orientation, and speed with the help of an MPU6050 accelerometer–gyroscope and a speed sensor. Once an accident is confirmed, the current geographical coordinates are obtained through a GPS module, and alert messages are transmitted to predefined emergency contacts using a GSM module. By removing the need for manual reporting, the proposed system ensures faster response time and improved safety, particularly for two-wheelers and economically affordable vehicles

Ms. Tanvi Dhaku Kharat, Ms. Amruta Manohar Khot, Ms. Pooja Vitthal Lambar, Ms. Mayuri Ramesh Lataye, Ms. T.V.Gawandi,"AcciAlert: Accident Detection and Alert System" International Journal of Scientific Research and Engineering Development, V2(1): Page(460-463) Jan-Feb 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.