Food Freshness Detection Using AI

Nikhil Vijayakumar1 [/], Arumukesh P.M. 1 [/], Siddhaarth S. Prabhu1 [/], Sobin Abraham Maret 1 [/], Saveetha D.1, Dr. Vijayakumar Ponnusamy2
1 Department of Networking and Communications, SRM Institute of Science and Technology, Vadapalani, Chennai, 600026, India
2 Department of Electronics and Communications, SRM Institute of Science and Technology, Vadapalani, Chennai, 600026, India
vv1832@srmist.edu.in
ap8361@srmist.edu.in
sp3456@srmist.edu.in
sm4236@srmist.edu.in
saveethd@srmist.edu.in
vijayakp@srmist.edu.in
DOI: 10.46793/BISEC25.442V

 

ABSTRACT: Maintaining food freshness levels ensures quality, health, and taste while reducing the amount of wastage generated. Relying on hu-man senses to assess food freshness or qualitative chemical tests can be time-consuming and impractical. In the past few years, deep learning has vastly expanded various fields with its ability to recognize patterns and perform qualitative data analysis. Our project, Food Freshness De-tection using AI, is an attempt to produce a self-evaluating solution for the appraisal of the quality of food products with Deep Learning ap-proaches. This project hopefully will use CNN along with other modern approaches of deep learning on images and/or sensor data so that an accurate classification of foods based on their freshness can be done and categorized into their respective classes..

KEYWORDS: Food freshness, CNN, Feature extraction

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IZVOR: Proceedings of the 16th International Conference on Business Information Security BISEC’2025