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AI Fitness Assistant Using Real-Time Human Pose Detection

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20433238

Authors: Mondal, Indranil, Ghosh, Anjali, Munshi, Spandan

Institution: Dr. B.C. Roy Engineering College

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7162859698

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