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.
python data-science machine-learning numpy scikit-learn pandas kaggle xgboost predictive-modeling mental-health binary-classification model-deployment ml-pipeline huggingface streamlit depression-prediction
-
Updated
Apr 18, 2026 - Python