Sunitha Shenoy, Shivnarayan and Sreeanand
This paper outlines a comprehensive framework that integrates Artificial Intelligence (AI), machine learning techniques, Internet of Things (IoT) devices, and autonomous Bots to aid in disaster recovery operations. The system focuses on using AI and IoT to scan disaster-affected areas for traces of life while reducing the risks faced by rescue teams through the deployment of automated drones and bots in hazardous environments. Additionally, it incorporates planning for post-rescue operations, including disease prevention and mental health counseling. By syncing AI-driven data analysis with real-time sensing from IoT devices and autonomous bots, the system enhances the efficiency and safety of rescue operations. Real-time updates through heat maps enable dynamic resource allocation and targeted rescue efforts, significantly improving survival rates and minimizing risks to the task force.
Disaster Recovery, Artificial Intelligence (AI), Internet of Things (IoT), Autonomous Robots, Machine Learning, Drones, Heat Mapping, Survivor Detection, Emergency Response, Data Visualization, Rescue Operations, Infrared Technology, Communication in Disasters, Disaster Risk Management, Predictive Analytics, Agile, Scrum, Kanban, Framework Agnostic, Lean, Extreme Programming (XP), Transformation.