Built the backend of an AI-driven fitness platform that
delivers personalized workout and diet plans through
machine learning and real-time posture correction using
computer vision. The system was developed using FastAPI
and MongoDB, with a strong focus on scalability,
modularity, and performance.
Key contributions:
•
Integrated machine learning models via API endpoints
to generate customized exercise and diet plans.
•
Implemented secure user authentication, session
management, and structured data storage.
•
Developed RESTful APIs to ensure smooth
communication between the frontend, ML
components, and database.
•
Connected a LLaMA-based conversational AI chatbot
for real-time user guidance and interaction.
•
Ensured system reliability through performance
tuning, error handling, and comprehensive testing.