This project aims to develop a basic early-warning fire detection system using a Raspberry Pi and a temperature sensor. The system monitors real-time temperature changes and activates LED indicators to reflect risk levels: green (normal), yellow (warning), and red (critical). This cost-effective, scalable solution contributes to environmental protection by detecting potential fire hazards early, whether in forests or indoor spaces.
