The application of robotics has become the norm in most industries since the third industrial revolution. In the fifth Industrial Revolution, sophisticated cognitive systems are needed to safeguard human resources from volatile climate changes and rising catastrophes. India has been experiencing natural disasters of varying intensities ravaging life and habitations from southern shores to northern valleys for over a decade. The manpower cost and mobilization time in rescue operations have always been a deciding factor that can be the difference between life and death for survivors. The demand for remotely operated vehicles for quicker evaluation of the status of the affected area and taking control of the issue is the demand of the disaster-led era. Artificial intelligence will automatically decode distress calls and efficiently collect vital information about survivors for the operator. In the bot, LoRaWAN is used to provide unobstructed, intercept-free IoT communication between the operation site and the operator. The bot will utilize a thermal camera, ultrasonic sensor, and microcontroller to detect survivors buried under debris and evaluate the terrain. The main controller will be an Arduino. This abstract presents an efficient solution for carrying out rescue operations in a large area using cognitive technology.