An end-to-end machine learning application for predicting depression risk based on user lifestyle and stress-related inputs, deployed with Streamlit and Hugging Face.

Projet de data science appliqué à la prédiction de la dépression avec optimisation des modèles et des variables

🧠 ML web app predicting student depression risks. Showcases a complete pipeline: baseline modeling, advanced data preprocessing, and optimized Logistic Regression.