Game Recommendation System Based on User Mood

Game Recommendation System Based on User Mood

Author Name : Mr. Mehatab Mahibub Sanadi, Dr. Sujeet More, Prof. Vishal Shinde, Prof. Harshada Raghuvanshi

ABSTRACT This paper proposes a game recommendation system that utilizes artificial intelligence (AI) and machine learning (ML) techniques to suggest games based on the user's mood. The system aims to enhance user experience by analyzing mood indicators and mappingthem to game genres that align with the user's current emotional state. The study explores various techniques for mood detection and recommendation algorithms, providing a detailed performance evaluation of the proposed system.