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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55352
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AI-Based Fitness Tracker and Recommendation System is a smart health and fitness system designed to help users improve their wellness using artificial intelligence. It tracks daily activities such as steps, calories, workouts, and nutrition. Using this data, AI-Based Fitness Tracker analyzes a person’s habits and provides personalized fitness suggestions.The system uses machine learning to understand patterns in the user’s lifestyle. Based on this analysis, it offers daily tips to improve health, such as recommending exercises, diet improvements, or activity goals. AI-Based Fitness Tracker also includes a progress visualization feature that shows changes over time, helping users see their improvements and stay motivated.With a clean and easy-to-use interface, AI-Based Fitness Tracker works like a virtual fitness coach. It provides real-time insights so users can make better decisions about their health. Overall, AI-Based Fitness Tracker helps people stay active, track their fitness journey, and build a healthier lifestyle.
KEYWORDS
Publication Date
12/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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