Strategic Integration of IoT and AI: Optimizing Techno Management for Enhanced Organizational Efficiency

Building safety in factories, which are based on new technologies like machine learning (ML) and the Internet of Things (IoT), is becoming the next generation of safety methods. This study offers a novel framework for improving safety control on construction sites by combining machine learning to know models with IoT technology. Numerous sensors, such as as pressure, temperature, fireplace, vibration, and proximity sensors, are positioned strategically to show important safety characteristics in real time. To improve threat prediction skills, the study uses machine learning, notably RF, ANN, KNN, and LR. According to the results, ANN records 95.6%, KNN records 90.9%, LR records 87.45%, and RF achieves the best accuracy of 97.7%. Notably, RF performs better overall and shows that it can adapt its protection strategies to different building conditions. By combining real-time sensor data with cutting-edge machine learning techniques, the integrated method offers a strong safety net that proactively identifies and reduces risks, improving overall safety in building sites. In other words, a safe worksite fosters a more focused and productive working environment.