Preventing industrial accidents requires careful handling of flammable substances. This research uses IoT sensors to monitor environmental parameters and a Random Forest algorithm for proactive risk management. Patterns are identified to predict potential accident risks. The system enables continuous monitoring and early anomaly detection, improving safety and reducing hazards for personnel and property.