AI Fitness Assistant Using Real-Time Human Pose Detection
The AI Fitness Assistant is a personalized fitness platform developed as a web application. The system combines exercise planning, diet management, AI-based pose detection, and progress tracking into a single integrated platform. Users can either discover fitness goals based on BMI and activity level or set their own custom goals. The application provides personalized workout schedules, exercise tutorials, calorie-based diet recommendations, and adaptive workout progression. AI-powered pose detection is integrated for exercises to improve exercise form and reduce injury risk. The project demonstrates the practical implementation of AI/ML, full-stack web development, and usercentered design in smart fitness applications.
Authors
- Indranil Mondal
- Anjali Ghosh
- Spandan Munshi
Institutions
- Unity College (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-30
- DOI
- https://doi.org/10.5281/zenodo.20433238
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00