In the realm of fire safety for expansive public spaces like malls and shopping areas, our project introduces an advanced fire and smoke detection system. Employing a network of strategically positioned sensors, the system continuously monitors air quality in real-time. A sophisticated algorithm for deep learning processes sensor data, effectively distinguishing between normal environmental variations and potential fire or smoke incidents.Upon detection of anomalies, the system triggers immediate alerts, communicates with a central monitoring unit, and activates rapid response mechanisms, including automated alerts to emergency services and the deployment of fire suppression systems. This scalable solution ensures comprehensive coverage of large areas, prioritizing the safety of occupants and minimizing property damage in the face of fire emergencies