Machine learning tool for user game improvement

A tool designed to enhance the gaming experience for League of Legends players by providing personalized feedback on their gameplay decisions. Utilizing advanced machine learning techniques, it analyzes in-game actions to identify areas for improvement, helping players refine their strategies and improve their performance.

LeagueAssist, developed using Python, integrates Amazon SageMaker, S3, and EC2 to revolutionize the gaming experience for League of Legends players. This tool provides real-time, data-driven feedback by analyzing gameplay decisions, leveraging SageMaker's machine learning capabilities to process in-game actions, S3 for scalable data storage, and EC2 for robust computing power. Players gain insights to improve strategies, powered by a backend architecture designed for efficiency and scalability.

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