FoodMuse: Health-Aware Food Recommendation System Using Machine Learning and API-Based Food Data

FoodMuse is a meal recommendation system created to assist users in eating healthier and in-turn, reducing food waste. The system will provide recommended meals based on the user's health condition and sustainability goals by taking into consideration the appropriate health restrictions (e.g.,...

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Bibliographic Details
Published in:	2025 5th International Conference on Intelligent Technologies (CONIT) pp. 1 - 6
Main Authors:	Harini Sri, S, Saishree, B., Deepthi, S. V, Deethiksha, R, Damodharan, D
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20.06.2025
Subjects:	Accuracy API Decision trees Diabetes Diseases Dish Recommendation Flask Food waste Food Waste Reduction Health-Based Filtering IndexedDB Logistic regression Machine Learning Radio frequency Random Forest Random forests React.js Recommender systems Transforms
ISBN:	9798331522322
Online Access:	Get full text
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