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The Automated Attention Tracking and Reporting system is a sleek AI-driven dashboard that provides real-time monitoring and reporting of distraction levels during classes, meetings, or lectures. Utilizing advanced computer vision techniques to help educators and facilitators enhance focus and attention during sessions.
This project detects the car license plate through a free Roboflow API, submits the detected car license plate image to a battery of filters and obtains the car license plate number using paddleOcr
From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on yolov10, with that custom dataset, to indicate fractures in x-rays. The project uses 5 cascade models, if one does not detect fracture it is passed to another