The document summarizes an internship project at Tata Insights and Quants to develop computer vision models for detecting personal protective equipment (PPE) and fire accidents. The models were designed to help Tata Industries address safety challenges from non-compliance with PPE guidelines and inability to quickly detect fires. Custom datasets were collected through on-site images and combined with labelled images to train models using architectures like YOLO, CNNs, and Vision Transformers. The final integrated model achieved 93% accuracy in identifying PPE adherence and signs of fire, demonstrating the effectiveness of the developed solution.