Conducted as part of the 16-week AI Lagos Fellowship, focusing on building a rich fitness dataset and personalized recommendation system using machine learning. • Developed an enriched dataset combining exercise and meal plan data with added features like intensity, equipment, calories, and dietary preferences. • Implemented a rule-based baseline, nearest-neighbor recommender, and multi-output ML model to generate simultaneous exercise and nutrition recommendations