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 Advanced Multidisciplinary Research and Educational Development, V2(1): Page(460-463) Jan-Feb 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.