Diabetes Risk Prediction App

My Role

• 01Handled the full machine learning workflow from preprocessing to model evaluation.
• 02Built the Streamlit inference app for patient-data input and prediction output.
• 03Prepared the project structure so training, evaluation, and deployment flow stay maintainable.

Features

• 01Patient data input form for instant diabetes risk prediction.
• 02Preprocessing pipeline for missing values, scaling, and feature selection.
• 03Multi-algorithm training and evaluation with Logistic Regression, Random Forest, and SVM.
• 04Clear prediction output with easy-to-understand feedback messages.
• 05Separated training, evaluation, and inference structure for maintainability.

Impact

• Helps identify diabetes risk early from patient health data.
• Supports decision-making with fast initial screening predictions.
• Represents an end-to-end ML workflow from training to deployment.

Stack