Designed as an academic project, it uses a custom prediction model to recommend exercises based on the user’s goals, physical attributes, past experience, and personal preferences — making every routine uniquely tailored and motivating.

As the project’s lead designer and front-end developer, I managed the full process from research and UX design to prototyping and implementation. I began by studying user habits and common frustrations with fitness apps — such as overly generic routines and lack of engagement. This informed a product strategy centered on personalization and trust. Using Figma for design and Flutter (Dart) for front-end execution, I created a sleek, modern interface defined by a black-and-white color palette, clean typography, and subtle futuristic accents. The design aimed to feel both elegant and empowering, encouraging daily use while maintaining clarity and simplicity.

Although not yet launched, Metafit received enthusiastic feedback during presentations, with users expressing strong interest in seeing it go live. The project demonstrates how smart algorithms, paired with thoughtful UX design, can make personal fitness more intuitive, adaptive, and engaging.