"BlazeSense" aims to develop an advanced, real-time fire detection system utilizing machine learning and object detection technologies to provide rapid and accurate fire alerts. BlazeSense addresses the limitations of current fire detection systems, which often experience delays due to environmental factors such as smoke and lighting conditions. The system will be adaptable for both indoor and outdoor environments and will leverage algorithms like YOLOv8 to detect fires even in challenging conditions. Users will receive real-time notifications through mobile alerts, SMS, or email, allowing for faster responses to fire incidents, which will help prevent escalation and mitigate damage. The primary objectives include improving detection times, ensuring adaptability across various environments, and significantly reducing false alarms. Additionally, BlazeSense will integrate seamlessly with existing fire safety systems and log incident data for further analysis.
