Authors : R. C. Mahajan; Bhupesh Cholake; Chinmayee More; Aryan Varkhede; Anushka Shirsath

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/ky2earym

Scribd : https://tinyurl.com/yxb358xx

DOI : https://doi.org/10.38124/ijisrt/26may2242

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This project proposes a practical, web-based intelligent coaching framework that integrates browser-side human pose estimation, rule-based biomechanical reasoning, natural-language coaching through large language models, adaptive workout generation, and nutrition planning into a unified digital health platform. The system is designed to provide live exercise assessment and dance guidance without training custom deep posture-classification models. Instead, it leverages pretrained pose landmark detectors and a layered decision architecture consisting of pose extraction, movement interpretation, safety filtering, scoring, and personalized coaching. The project sits at the intersection of human-computer interaction, computer vision, intelligent tutoring systems, digital therapeutics, sports analytics, and personalized health informatics.

Keywords : AI Fitness Coach; Human Pose Estimation; Posture Correction; Dance Analysis; Explainable AI.

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