skincancer

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

Flask-based deep learning web app for 7-class skin cancer classification using ResNet-50 on the HAM10000 dataset (93.47% validation accuracy).

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

Deep Learning based Skin Cancer Classification using the ISIC dataset with TensorFlow/Keras.

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

Pocket Protect • Website for registered assistants like ( dermotologist )

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