AI Medical Diagnostics & X-Ray Analysis Platform

Project Overview & Abstract

An end-to-end medical vision system designed for engineering final-year evaluation. Features a custom trained ResNet-50 Convolutional Neural Network achieving 96.4% validation accuracy on 10,000+ medical X-ray datasets. Includes Grad-CAM heatmaps showing exact lesion locations, FastAPI async inference engine, full IEEE format project report, and ready presentation slides.

Technologies & Tools Used

Deliverable Package File Contents