About

This project develops machine learning models to predict asthma risk using diverse data sources like clinical records, genetics, and environmental factors. Utilizing SVM and Random Forest algorithms, it aims to enable early intervention and personalized treatment. The user-friendly Python GUI, powered by TensorFlow, ensures accessibility for users.