This is a machine learning and image processing based project which uses python and opencv to detect and predict skin cancer

A Telegram bot that classifies photos of skin lesions using a fine-tuned Vision Transformer (ViT-B/16) from HuggingFace, then fires a text-only label to Google Gemini 2.0 Flash for a plain-English breakdown: what the condition is, what signs to watch for, treatment options, and a one-line severity verdict. Seven HAM10000 diagnostic classes.

Skin Cancer Deep Learning Model Personal Research

Pocket Protect • Website for registered assistants like ( dermotologist )

This is a Streamlit-based web application that allows users to upload an image of a skin lesion and receive a prediction of its class using a trained deep learning model.

Pymaceuticals Data Analysis and Visualization

Repository for deep learning course on the use of Vision Transformer to make prediction on 8 different classes of benign and malignant