Project Description: This project focuses on the development of an early warning sensor system capable of predicting the probability of fire outbreaks based on environmental parameters such as gas concentration and humidity levels. In addition to real-time data acquisition and processing, an artificial intelligence model was trained to generate predictive insights regarding fire occurrence. Furthermore, a virtual fire spread mapping system has been implemented to simulate how a potential fire could propagate across an area. The system is also supported by predefined fire scenarios that assist in classifying the type of fire based on sensor input and AI analysis. This integrated approach aims to enhance situational awareness and support early intervention efforts.
https://sites.google.com/posta.eyuboglu.k12.tr/geoflame/menu
Project Theme: Climate Action and Responsible Consumption
