Jeevan Alert: An Explainable AI-Based Early Stroke Risk Prediction and Stratification System

Jeevan Alert, an explainable AI-based system for early stroke risk prediction and stratification.

Jeevan Alert, an explainable AI-based system for early stroke risk prediction and stratification. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are explanations of each result (feature importance or visual evidence), alerts when a threshold or risk is reached, data preparation and exploration, model training and comparison of algorithms, and evaluation with standard metrics. The reference build uses SHAP, Python, scikit-learn, Pandas, and Flask, with a clear project structure, setup instructions and sample data so that it can be run and extended.