Food and Mental Health Advisory

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Kriti Sachdeva; Divya Dhumal; Leena Boyatkar; Pratiksha Hake; Snehal Warungase

Food and Mental Health Advisory

Authors: Kriti Sachdeva, Divya Dhumal, Leena Boyatkar, Pratiksha Hake, Snehal Warungase

Unique Paper ID: 172230
Volume: 11
Issue: 8
PageNo: 2581-2595

Keywords: No Keywords Found

Abstract:
The relationship between diet and mental health has become a growing area of interest as studies show that food choices significantly impact emotional well-being. The aim of the project is to develop an AI-driven Food and Mental Health Advisory System that leverages machine learning (ML) models to provide personalized food recommendations based on an individual's dietary habits, mental health status, and nutritional needs. The system collects data through user input on mood, lifestyle, and food preferences, and cross-references it with dietary and mental health research. Using predictive algorithms, it suggests meal plans and nutrients beneficial for mood regulation and mental health improvement. Additionally, the system incorporates feedback loops to improve the recommendations over time, adapting to users’ evolving mental states and dietary patterns. The advisory platform can also integrate with wearable health trackers and mobile apps to enhance the user experience, making it an accessible tool for improving both physical and mental well-being.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 2581-2595

Food and Mental Health Advisory

Available:https://ijirt.org/article?manuscript=172230

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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