International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 6 Issue 6
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AI based web application for diet planning and recipe generation

Author(s) Mohit Malve, Pranav Mahajan, Shubham Waghmare, Sai Pagar, Manisha Mali
Country India
Abstract Introduces a web-based diet planning system based on machine learning, specifically Random Forests, deep learning and image processing capabilities to offer personalized nutritional input. Based on users' health data, their calorie needs, and food choices, the system is tailored to design diet plans specifically for each user. Finally, the system has functionalities of image processing capabilities: it identifies ingredients that feature in uploaded images of available food and thus comes out with recipes based on whatever is available. The goal of this integration is to make meal planning less painful, especially to individuals who have conditions like diabetes or hypertension, with respect to making healthier diets. Preliminary results demonstrate very good accuracy in recommending diets and identifying ingredients; these findings are positive toward the impact of the entire system in personalized nutrition management.
Keywords diet planning, machine learning, deep learning, nutrition.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-05
Cite This AI based web application for diet planning and recipe generation - Mohit Malve, Pranav Mahajan, Shubham Waghmare, Sai Pagar, Manisha Mali - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29919
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.29919
Short DOI https://doi.org/g8qfvv
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