Work

Machine Learning Approach for Smart Food Recommendation System

Year: 2025

Type: article

Abstract: This paper introduces a smart food recommendation system that uses machine learning and user health profiling to suggest meals tailored to individual dietary needs. By considering factors such as age, weight, health conditions, and nutritional goals, the system offers food recommendations that promote well-being. It combines intelligent filtering techniques to align suggestions with both health requirements and user preferences. Unlike conventional systems, it learns from user interactions to refine its results over time.

Source: Journal of Emerging Technologies and Innovative Research

DOI: 10.56975/jetir.v12i8.567558

Authors: Dr R Sanjeev Kunte, Chandan Sagar ME, Kareppa B Bambalwadi, Kountheya S Sathish, Krishna Sudhir Malgi

Institution: Jawaharlal Nehru New College of Engineering

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: Strong