shauryamathur/inferno-tactix

Inferno-Tactix is an AI-driven system that predicts and combats wildfires using deep learning for early detection and risk assessment, combined with reinforcement learning for optimal response strategies in a simulated environment. It includes a data-preparation pipeline to generate 75-day time-window datasets and offers three Docker-based services: a React client, a Python backend for RL training, and a headless Playwright client. This project is designed for researchers, data scientists, and emergency response teams working on wildfire mitigation and AI-powered disaster management.