Project Overview

This project is a sophisticated soccer score prediction system that leverages machine learning to forecast match results. Built using Python, the model is designed to be adaptable and can be trained on various sports datasets to identify predictive patterns in historical game data.

Tech Stack & Key Metric

• Core Technology: Python, Machine Learning, AI
• Key Metric: 62.5% Prediction Accuracy
• Functionality: Adaptable to multiple datasets

Project Impact

The system achieves a notable accuracy rate of 62.5%, demonstrating the practical application and effectiveness of using advanced AI for predictive sports analytics. This project showcases a strong ability to process data, build predictive models, and deliver quantifiable results.