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Enhancing building safety through Machine Learning & Deep Learning for smoke detection and fire prevention.

⬡ SMOKE DETECTION

Real-time data-driven insights to detect smoke, hazardous gases, and ensure early fire prevention.

⬡ FIRE HAZARD DETECTION

ML algorithms monitor building environments and forecast potential fire risks for safety.

⬡ CNN IMAGE DETECTION

Deep learning MobileNetV2 model detects fire and smoke visually from uploaded images with 96.98% accuracy.

⬡ PREDICTIVE SAFETY

Early prediction of fire and smoke-related risks in buildings using trained ML models.

⬡ ENVIRONMENTAL SAFETY

Optimize air quality and minimize fire risks using smart algorithms for safer buildings.

⬡ MODEL TRAINING

Train and evaluate 7 classifiers on IoT sensor data with full accuracy, precision, recall and F1 metrics.

VIEW DATASET TRAIN MODELS SENSOR PREDICT → CNN DETECT 🔥