Real-time Fire Detection using Neural Networks

Real-time Fire Detection using Neural Networks introduces an advanced solution for immediate fire detection in diverse environments. By integrating neural networks, the system analyzes real-time video feeds to identify the presence of flames and smoke. This project holds significance in early fire response, enabling rapid intervention and minimizing potential damages in scenarios such as industrial settings, public spaces, and forests.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM