A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Skin Disease Detection and Treatment Susceptibility by AI

Digitization, Analysis & Prediction of Medical Reports using Deep Learning.

Project for skin disease detection.

This project detects nine skin diseases using machine learning and ensemble methods. It features a Flask web app for real-time image-based diagnosis via uploads or webcam.