International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Personalized Nutrition Recommendation System |
|---|---|
| ABSTRACT | Traditional diet planning methods often lack personalization, reducing their effectiveness in promoting healthy lifestyles. This paper presents a Personalized Nutrition Recommendation System that generates customized diet plans using machine learning and health metrics. The system collects user inputs such as age, gender, height, weight, activity level, and health goals, and computes key indicators including Body Mass Index (BMI), Basal Metabolic Rate (BMR), and Total Daily Energy Expenditure (TDEE).The proposed system integrates a Flask-based backend, Scikit-learn models, and an Indian food nutrition dataset to deliver calorie-balanced meal recommendations. A hybrid approach combining Random Forest and rule-based filtering ensures alignment with user preferences and medical conditions such as diabetes and hypertension. Experimental results demonstrate improved personalization and relevance compared to traditional methods, making the system suitable for preventive healthcare and smart dietary management. |
| AUTHOR | DR.K.MURALI BABU, E.K.P.INDRANI, CH.LOKESH, P.ABHILASH, T.LIKITH, B.YASWANTH Assistant Professor, Department of CSE (AI & ML), Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, India Students, Department of CSE (AI & ML), Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403104 |
| pdf/104_Personalized Nutrition Recommendation System.pdf | |
| KEYWORDS | |
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