The project involves developing an AI-powered model to predict outcomes of sports events. The goal is to create a predictive algorithm that can analyze historical sports data and provide accurate forecasts for upcoming games. This project will allow learners to apply their knowledge of machine learning, data analysis, and algorithm development. The team will focus on a specific sport, such as basketball or soccer, to ensure the scope remains manageable. By the end of the project, learners will have gained experience in data preprocessing, feature selection, model training, and evaluation. The project will also provide insights into the practical applications of AI in the sports industry, enhancing the learners' understanding of how technology can be leveraged to make data-driven decisions.

The deliverables for this project include a fully functional sports prediction model, a comprehensive report detailing the methodology and findings, and a presentation summarizing the project's outcomes. The model should be able to predict the results of at least 10 upcoming games with a reasonable degree of accuracy. Additionally, the report should include data analysis, model evaluation metrics, and recommendations for future improvements.