Skin Cancer & Disease Detection AI

A Deep Learning (Convolutional Neural Network) medical imaging system designed for early detection of potential skin cancer and dermatological conditions. Built with an automated image processing pipeline via OpenCV, clinical data augmentation, and high-speed REST API inference.

Fully integrated into a high-performance FastAPI backend, achieving an average inference latency of 120ms per image. Evaluated comprehensively with precision, recall, and confusion matrix metrics to minimize false negative risks in critical cases.