International Journal of Scientific Research and Engineering Development

Smart rescue systems are becoming essential for improving safety and emergency response in modern environments. The proposed Smart Rescue System uses Internet of Things technology and machine learning techniques to detect accidents or dangerous situations and send immediate alerts to rescue teams. Sensors and connected devices collect real time data such as location, movement, and environmental conditions. This information is processed by a machine learning model to identify emergencies and trigger automated notifications. The system helps reduce response time and improves the efficiency of rescue operations. It can be applied in disaster management, road accident detection, and emergency monitoring systems. The proposed solution enhances public safety by providing quick and reliable rescue support.

Sneha Chikhalkar, Vasanti Jadhav, Srushti Mane, Ekta Yadav, Neha G. Pungaonkar,"Smart Rescue" International Journal of Scientific Research and Engineering Development, V9(2): Page(814-817) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.