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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60728
Volume:
10 |
4 |
April 2026
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.
â NutriLens is an AI-powered nutrition tracking and recommendation system designed to improve dietary management through intelligent automation and personalization. The system enables users to log food using multimodal inputs such as image recognition, voice input, barcode scanning, and manual entry. It utilizes Generative AI and machine learning techniques to analyze food data and provide accurate nutritional insights, including calories, macronutrients, and micronutrients. A Retrieval-Augmented Generation (RAG) framework ensures reliable and context-aware responses by integrating verified nutritional knowledge. The platform also provides personalized recommendations and interactive dashboards for monitoring health metrics such as calorie intake, hydration, and weight trends. Developed using Python, Streamlit, and SQLite, NutriLens offers a scalable, user-friendly, and intelligent solution for modern nutrition management.
KEYWORDS
Publication Date
4/20/2026
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.
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