Food-Lens: Improving Culinary Experiences with AI-Driven Meal Analysis and Recipe Generation-Reference-Cited by-同舟云学术

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Food-Lens: Improving Culinary Experiences with AI-Driven Meal Analysis and Recipe Generation

Published:2024-07-10 Issue: Volume: Page:1385-1391
ISSN:
Container-title:2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

Singh Shivendra Pratap¹,Siddharth Dasu¹,Prabakeran S.²,Das Rashmika¹,Balaji Annamalai³

Affiliation:

1. SRM Institute of Science and Technology,CSE Networking and Communications,Chennai,India

2. SRM Institute of Science and Technology,Networking and Communications,Chennai,India

3. School of Computing Science and Engineering (SCSE), VIT Bhopal University,Bhopal,MP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624685/10624738/10625000.pdf?arnumber=10625000

Reference10 articles.

1. Identification of sunflower seeds with deep convolutional neural networks

2. CNN based approach for identifying banana species from fruits

3. Using deep transfer learning for image-based plant disease identification

4. Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model

5. Multi-Source Deep Domain Adaptation For Quality Control In Retail Food Packaging;Thota;ARXIV-CS.LG,2020

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