Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

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Food Scan AI Revolutionizing Nutrition

Authors
M. Delbert Titus1, *, S. Aakash1, Adlin Sheeba1
1Department of Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, Chennai, India
*Corresponding author. Email: delberttitus257@gmail.com
Corresponding Author
M. Delbert Titus
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_42How to use a DOI?
Keywords
Food Scan AI; Nutrition Management; Food Recognition; Artificial Intelligence; Cloud Computing; Dietary Recommendations; Real-Time Chat; Vertex AI; Flutter Mobile Application; PostgreSQL Database; Personalized Health Monitoring
Abstract

Tracking food nutrition and calories on daily diet has been an important factor in healthcare. Tracking macros and micro nutrients in food manually can be inaccurate and time consuming. Food Scan AI makes it easier for daily usage by using tools that uses AI, computer vision and cloud computing to give a quick and easy more analysed insight about the food taken by the user. Using Google Cloud Vertex AI for food recognition, adding an API session to connect a self-built application using Spring Boot for safely opening up a pathway to communicate securely to a PostgreSQL database for serviceable queries for food data to compute daily totals at varying levels of precision. The experimental findings reflect, as demonstrated in this research, the outcome of the AI fitted for food analysis, and its appraisal for the newly refined cloud computing infrastructure can enhance diet management potential into gaining access to scalable, secure, and easy/accessible nutritional dialogue, based on AI-meaningful learning and prediction sessions.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_42How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Delbert Titus
AU  - S. Aakash
AU  - Adlin Sheeba
PY  - 2026
DA  - 2026/04/24
TI  - Food Scan AI Revolutionizing Nutrition
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 520
EP  - 533
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_42
DO  - 10.2991/978-94-6239-654-8_42
ID  - Titus2026
ER  -