My goal is to turn an ordinary surveillance camera into an AI-driven estrus-detection tool that recognises the tell-tale signs of heat—mounting attempts, standing heat, increased restlessness and similar behavioural cues—and then alerts me instantly. The software needs to combine motion detection with behaviour analysis, running directly on the camera or an attached edge device so there is no delay or cloud dependency. As soon as a cow matches the heat profile, the system must push real-time notifications (SMS, app push or another lightweight channel we agree on). I expect high accuracy, as close to 100 % as technically practical, with false positives kept to an absolute minimum even under low-light barn conditions or when many animals crowd the frame. I can supply several hours of annotated video to jump-start model training, but the final solution should be robust enough to learn from additional footage we capture on-farm. OpenCV, TensorFlow, PyTorch, YOLOv8—or any equivalent stack you are comfortable with—are all acceptable as long as the finished model meets the accuracy target and runs reliably on low-power hardware. Deliverables will be: • A trained model that consistently exceeds 95 % precision/recall on validation clips • Integration code or firmware ready to load on the camera/edge device, with clear install steps • A lightweight notification module with configurable endpoints • A short test report and user guide so I can reproduce your results in the barn Once I confirm the system hits the performance mark on fresh footage, the project is complete.