EDGE AI-BASED PCOS PREDICTION USING OVERIAN ULTRASOUND IMAGES

This project essentially demonstrated that we don't need any of those pricey cloud setups to create a functional "Edge AI" system for identifying PCOS. The system became extremely quick and accurate by employing "lean" AI models and clever methods to clean up the images. Small clinics and rural places with limited funds and technology benefit from it. Everything remains on the device because of the way the system is constructed. This indicates that there is no lag or waiting for the screen to load, and the privacy is very strong. It performed flawlessly on all of the hardware I tested it on, including the Raspberry Pi and the Jetson Nano. Additionally, doctors can actually see the reasoning behind the predictions thanks to the "explainable AI" features, which greatly increases their confidence when using it.   The results show that genuine doctors can employ this strategy. Medical equipment should be provided to all, even those far from large facilities. substantial improvement. It shows how AI can make exams faster, cheaper, and more private for women, improving their health.

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