Game Outcome Prediction App -- 2

The goal is to build an application that reliably predicts final outcomes of games. The core of the project is a machine-learning model focused squarely on game outcome prediction, wrapped in a user-friendly interface that lets users enter or ingest the necessary pre-game variables and instantly receive a probability-based forecast. I already have a rough outline of the variables that matter most, but I need a developer who can: • design the data schema and pipelines • select and train the prediction algorithm (Python / scikit-learn or similar is fine) • build a lightweight front end (web or mobile) that displays the predictions, confidence intervals, and basic explanatory insights • integrate a simple admin panel so I can retrain or fine-tune the model as new data arrives • supply clean, well-commented source code plus brief setup documentation Acceptance criteria • Model must achieve better-than-baseline accuracy on a held-out test set I will provide. • UI presents outcome probabilities in under two seconds on typical broadband. • All dependencies are documented and installable with one requirements file or package script If you have prior examples of predictive analytics, feel free to reference them in your proposal; I’m especially interested in approaches that balance accuracy with explainability.