Musify is an innovative application designed to enhance home videos by matching their mood to suitable background music, making the viewing and listening experience more enjoyable. The app utilizes Clarifai’s Custom Training technology to categorize video content into moods such as action or calm and employs JukeDeck’s API to select an appropriate soundtrack. Developed by Yash Agrawal, a junior in Computer Engineering at the University of Illinois, Musify was inspired by the challenge of finding fitting music for videos. The application is built using Python libraries and Clarifai’s intelligent API, which proved efficient by requiring only 250 images for training to deliver near-perfect results. The project reflects the creativity in combining video recognition with music selection to solve common issues faced by beginners and content creators in video production.