There is a gap in current AI music research, which often isolates generative models from real-time human input or emotional context. This project proposes the design of an interactive AI-Assisted Music Application and its effect on emotional engagement. The application combines AI music generation models with other tools that allows users to personalise the music outputs in real time. These elements are tempo, rhythm, choices of instruments and others. The goal is to explore how humans and AI can create a dynamic music piece that supports emotional self-expression and authenticity. Overall, this study aims to examine how computational systems can be designed to respond meaningfully to human emotion.