Machine learning for media experiences

🎓 MLME’25 mini-projects are awesome!

Students leveraged a wide array of machine learning models to solve diverse media experiences, ranging from interactive gaming and gesture control to complex data analysis and audio recognition. These projects are mostly demonstrated with real-time inference in the following key domains:

• Interactive Gaming and Simulation
• Gesture Recognition and Control Systems
• Audio and Emotion Recognition
• Computer Vision for Object Detection and Sorting
• Recommender Systems and Data Analysis

I am very proud of the outcomes, congratulate all submitting students, and welcome them to the world of ML/AI inference.