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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62337
Volume:
10 |
5 |
May 2026
Pages:
1-8
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.
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
Computer Science and Engineeering
K.D.K College of Engineering
This research paper presents the design and implementation of an AI Based Diet Monitoring Platform developed to improve nutrition management, health awareness, and lifestyle tracking through modern digital technologies. In current society, many users struggle with maintaining calorie balance, hydration, fitness discipline, and regular health records because available tools are fragmented or difficult to use. The proposed platform integrates multiple health management functions such as calorie tracking, hydration monitoring, vitals logging, progress analytics, recipe recommendations, and personalized diet planning into one unified system. The platform is built using full-stack web technologies including React.js, Node.js, Express.js, and MongoDB. Artificial intelligence plays a major role in the system by generating customized outputs based on user goals, body parameters, and preferences. This reduces manual planning effort and improves user decision-making. The developed platform demonstrates that intelligent software systems can significantly simplify wellness management while remaining affordable, scalable, and user friendly.
KEYWORDS
The AI Based Diet Monitoring Platform was successfully designed and developed as a smart health management solution. It combines calorie tracking, hydration monitoring, vitals management, AI diet planning, recipe generation, and progress history into one centralized system. The project demonstrates practical implementation of full-stack development concepts along with artificial intelligence integration. It provides convenience, personalization, and better health awareness for users. The system is scalable, user-friendly, and suitable for future enhancements such as mobile apps, wearable integrations, and predictive healthcare solutions. It stands as a strong example of how technology can positively impact daily wellness management.
● React Official Documentation. ● Node.js Official Documentation. ● Express.js API Guide. ● MongoDB Official Manual. ● Google AI / Gemini API Documentation. ● Research Papers on AI in Healthcare. ● Journals on Nutrition Monitoring Systems. ● Full Stack Web Development References.
Publication Date
5/2/2026
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.
Funding Information
No funding information available for this research.
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