Game Outcome Predictor App

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.