Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Food and Beverage Calorie Prediction with Neural Networks

Authors
Raman Kumar Mandal1, *, Karingula Venudhar2, Bogadapu Keerthi2, Priya Ranjan Raj3, Abdul Jaleel2
1Assistant professor, Department of IT, CMR College of Engineering and Technology, Kandlakoya medchal, Hyderabad, Telangana, India
2UG Student, Department of IT, CMRCET, Kandlakoya, medchal, Hyderabad, Telangana, India
3Assistant professor Department of CSE, Chandigargh University, Chandigargh, Punjab, India
*Corresponding author. Email: reffect1985@gmail.com
Corresponding Author
Raman Kumar Mandal
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_31How to use a DOI?
Keywords
Deep Learning; Food Calorie Estimation; Image Processing; CNN; Multi-Label Classification; Computer Vision
Abstract

This observe introduces a revolutionary approach for enhancing nutritional monitoring and selling healthful consuming behaviour via deep analyzing technology. The primary objective is to correctly come across several meals objects and estimate their calorie content cloth in actual-time, offering customers a smart and customized technique to nutritional tracking performed using Python, the gadget makes use of the cellular net architecture for food category and calorie estimation. The proposed gadget methods meals snap shots through a web based totally interface, figuring out gadgets hastily and supplying customers with a accurate calorie estimate. This machine empowers people with treasured insights into their nutritional behaviour, permitting them to song meals intake, set dietary dreams, and make knowledgeable picks. via way of leveraging deep studying for green and correct calorie estimation, this approach offers a transformative solution for nutritional control. With its excessive precision, real-time evaluation, and clever nutritional monitoring, this system has the ability to redefine how humans monitor and optimize their dietary conduct, fostering greater healthy lifestyles and average well-being.

Copyright
© 2025 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 International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_31How to use a DOI?
Copyright
© 2025 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  - Raman Kumar Mandal
AU  - Karingula Venudhar
AU  - Bogadapu Keerthi
AU  - Priya Ranjan Raj
AU  - Abdul Jaleel
PY  - 2025
DA  - 2025/11/04
TI  - Food and Beverage Calorie Prediction with Neural Networks
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 354
EP  - 364
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_31
DO  - 10.2991/978-94-6463-858-5_31
ID  - Mandal2025
ER  -