Basketball Player Performance Prediction AI

I’m building a new module for “Preditr AI” that focuses exclusively on forecasting individual basketball player performance for upcoming games. The core requirement is a machine-learning model (Python preferred) that can ingest historical stats, recent form, injury reports, and any other relevant signals you recommend, then output game-by-game projections such as points, rebounds, assists, and efficiency ratings.

Speed matters—I’d like a working MVP as soon as realistically possible, with clean, reproducible code and a clear explanation of the feature engineering and evaluation metrics you use. An accessible REST or GraphQL endpoint (or a simple notebook demo if faster) is enough for the first milestone; we can layer dashboards or mobile hooks later.

Accuracy is king, but transparency is almost as important: please include a short read-me that shows how to retrain the model when fresh data arrives and how to tune hyper-parameters. If you’ve previously built sports analytics tools, share that context so we can move quickly into iteration.