International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Floods, earthquakes, cyclones and landslides commonly destroy essential communication facilities like mobile towers, fibre links and internet services. This breakdown prevents those who are in need from sending out an SOS or sharing their current location which greatly slows down the rescuers and causes more people to be killed. In order to solve these problems, I will use AI technology to design an emergency rescue communication system that can provide continuous, stable and reliable communication for both online and offline environments. When the network is available, it uses GPS and cloud to send exact location data along with structured emergency request types like Ambulance, Water Supply, Resources, General Help etc. Without Internet Services: In the absence of internet service, the system smartly forms a wireless mesh network among adjacent cell phones that enables multi-hop messages to travel over devices connected via a link in between. An integrated AI-based routing module considers battery level, RAM availability, storage space, and signal strength; selects the best & most energy-efficient communication path for sending a message, using ML algorithm to increase the reliability of delivering a message under harsh environment. A real-time rescue dashboard, with color codes of (Red, Yellow, Green) status, provides the rescue team members with better visibility and understanding for a faster interpretation and better coordination in times of emergency. The Proposed System increases Situational Awareness & Reduces Gaps on Communication, so it can give Timely help as a Scalable & Flexible Life Saver framework for Modern Disaster Management Operations

Keywords: Emergency Communication, Wireless Mesh Network, Disaster Management, Reinforcement Learning, AI Routing, Offline Communication, Rescue System.

Downloads: | DOI: 10.17148/IJARCCE.2025.141297