CrowdShield AI

CrowdShield AI is a hackathon project that uses AI to detect and prevent dangerous overcrowding in public places. The system takes an image, video, or live feed as input and processes it using tools like OpenCV and TensorFlow to estimate crowd density and movement. It then calculates a risk level (low, medium, or high) based on how crowded the area is and displays alerts such as “Overcrowding Detected” when danger is high. A simple prototype includes uploading an image, detecting the crowd, and showing a risk indicator, while advanced features can include heatmaps and real-time alerts. This solution helps prevent accidents by giving early warnings and improving public safety.

Built With

• css
• flask
• html
• javascript
• opencv
• python
• tensorflow