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.

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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
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article

AI Fitness Assistant Using Real-Time Human Pose Detection

Indranil Mondal, Anjali Ghosh, Spandan Munshi
Zenodo (CERN European Organization for Nuclear Research)
Context-Aware Activity Recognition Systems
article

AI Fitness Assistant Using Real-Time Human Pose Detection

Indranil Mondal, Anjali Ghosh, Spandan Munshi
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Unity College (US)
Openalex Percentile: Top 4%
Context-Aware Activity Recognition Systems
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