HAWK-AI Accident Detection and SOS Alert

The HAWK-AI Accident Detection and SOS Alert System is a cutting-edge solution designed to improve road safety by leveraging artificial intelligence (AI) and real-time monitoring technologies. As the need to reduce road traffic fatalities and shorten emergency response times grows, this system utilizes AI-driven accident detection algorithms in conjunction with CCTV surveillance to detect accidents as they happen. The system uses strategically placed CCTV cameras along roadways to capture real-time video footage, which is then analyzed by machine learning models, such as Convolutional Neural Networks (CNNs). These models are trained to identify indicators of accidents, such as collisions or abnormal vehicle movements. Once an accident is detected, the system automatically sends an SOS alert to emergency responders, providing key information such as the incident's location and severity. This quick communication allows for faster emergency interventions, potentially saving lives. The backend of the system is built using Flask (Python), while AI and machine learning techniques are employed to power the accident detection features. The frontend is designed with HTML, CSS, and JavaScript, offering a user-friendly interface. With its modular architecture, the system can easily be integrated into existing CCTV networks, making it a costeffective solution for both urban and rural areas looking to improve road safety.