AI-Driven Agile Sprint Planning and Risk Prediction System with Explainable Insights

An AI-driven agile sprint planning and risk prediction system that explains the reasons behind its insights.

An AI-driven agile sprint planning and risk prediction system that explains the reasons behind its insights. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to practise engineering discipline: requirements, design, implementation, automated testing and measuring software quality.

The main parts are explanations of each result (feature importance or visual evidence), a clear requirements and design document, the working implementation, automated tests with quality metrics, and a report on what the measurements show. The reference build uses SHAP, Python, Git, Docker, and pytest, with a clear project structure, setup instructions and sample data so that it can be run and extended.