Kvasir-SEG: A Segmented Polyp Dataset

Mental-Health-Analyzer is an AI-Based project for predicting mental health disorders such as stress, anxiety, depression, and loneliness. By applying machine learning techniques, this project analyzes user inputs and behavioral data to provide accurate predictions, aiming to support mental well-being and early intervention.

Lung Cancer Detection with SVM uses the Support Vector Machine algorithm to detect lung cancer from medical images and patient data. This project covers data preprocessing, feature extraction, model training, and evaluation, aiming to provide a reliable tool for early detection and timely diagnosis.