ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition
Authors
Dr. P. Janarthanan , Vinay Varshigan S J , Sunandita R , YerragoguRishitha
Keywords
ResNet50, Inception V3, Allergen Detection, Food Image Classification, Stacking Ensemble, Food Detection, Nutritional Analysis.
Abstract
Efficient food identification systems face challenges with the wide range of food categories and the high computational demands associated with extremely complex dishes. There is a need for a real-time solution that not only detects the food but also identifies its possible allergens and nutritional content, enabling efficient identification before distribution to those in need. Such a solution should ensure safe, accurate, and effective food identification in advance. This helps not only to reduce food waste but also to combat hunger. The proposed system's performance is evaluated using a confusion matrix, which helps assess model accuracy by displaying correctly and incorrectly classified data points and highlighting misclassification patterns. In our work, the ResNet50 model shows 85-90% accuracy with a loss of 0.3 on simple food images, but accuracy decreases with more complex food items. In contrast, InceptionV3, benefiting from multi-scale processing, achieves 88-92% accuracy with a loss of 0.25, demonstrating higher precision and recall with visually complex dishes. When combining ResNet50 and InceptionV3 through a stacking ensemble, performance significantly increases, reaching an overall accuracy of 93%, showing a substantial enhancement in classification accuracy across diverse food images.
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IJCRT — journal style
"Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 9, page no.43-61, September 2025, Available :https://ijcrt.org/papers/IJCRTBG02006.pdf
APA — 7th edition
Janarthanan, P., J, V. V. S., R, S., & YerragoguRishitha. (2025). Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition. International Journal of Creative Research Thoughts, 13(9), 43-61. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006
MLA — 9th edition
Janarthanan, P., et al. "Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition." International Journal of Creative Research Thoughts, vol. 13, no. 9, 2025, pp. 43-61, https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006.
Chicago — 17th, bibliography
Janarthanan, P., et al. "Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition." International Journal of Creative Research Thoughts 13, no. 9 (2025): 43-61. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006.
Harvard — author–date
Janarthanan, P. et al. (2025) 'Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition', International Journal of Creative Research Thoughts, 13(9), pp. 43-61. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006
IEEE — numbered reference
P. Janarthanan, V. V. S. J, S. R and YerragoguRishitha, "Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition," IJCRT, vol. 13, no. 9, pp. 43-61, Sep. 2025.
Vancouver — biomedical
Janarthanan P, J VVS, R S, YerragoguRishitha. Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition. IJCRT. 2025 Sep;13(9):43-61.
AMA — 11th edition
Janarthanan P, J VVS, R S, YerragoguRishitha. Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition. IJCRT. 2025;13(9):43-61. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBG02006,
author = {P. Janarthanan and Vinay Varshigan S J and Sunandita R and YerragoguRishitha},
title = {Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {9},
pages = {43-61},
year = {2025},
month = {September},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Janarthanan, P.
AU - J, Vinay Varshigan S
AU - R, Sunandita
AU - YerragoguRishitha
TI - Smart Food Solutions: A Deep Learning Approach for Classifying Food, Identifying Allergens, and Analyzing Nutrition
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 9
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006
SP - 43
EP - 61
ER -
Issue
Volume 13 Issue 9,
September-2025
Pages : 43-61
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 9, September 2025
- Pages
- 43-61
- Published
- September 2025
- Registration ID
- IJCRT_294071
- Published Paper ID
- IJCRTBG02006
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 406
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRTBG02006
- Published Paper PDF
- https://ijcrt.org/papers/IJCRTBG02006.pdf
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