Authors : Roshni Wasnik; Aditya Alkawar; Saloni Jambhulkar; Gouri Samarth; Kshitij Maske

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/mppz7zrx

Scribd : https://tinyurl.com/2866fuzf

DOI : https://doi.org/10.38124/ijisrt/26apr1366

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In the world we live in today it is really important for people and businesses to keep an eye on the shelf life of products that can go bad. Those that cannot. If we do not keep track of when products expire we can end up throwing things losing money and even getting sick. The Product Expiry Tracker Application is a way to deal with these problems by giving us a simple and smart way to keep track of when products expire. This application uses technologies like Artificial Intelligence and mobile phones to help people keep track of when their groceries, medicines, cosmetics and other things they use will expire. We can add products to the application by typing them or by using the camera on our phone to scan the barcode or take a picture of the product. The application can then figure out what the product is, when it will expire and put it into a category so we can find it easily.

Keywords : Fire Base, Fire Store, Flutter, Git Hub, Android Studio, Machine Learning Kit, Open Artificial Intelligence.

References :

1. Gábor Sörös, Christian Floerke Meier " Towards next generation barcode scanning", Proc. Int. Conf. onMobile and Ubiquitous Multimedia (MUM 2012),Ulm, Germany, 2012 Computers.
2. R. Smith "An overview of the Tesseract OCRengine", Proc. Int. Conf. Document Anal.Recognit., pp.629 -633 2007
3. R. Adelmann "Mobile phone-based interaction with everyday products - On the go", Proc. IEEE NextGeneration Mobile Applications, Services andTechnologies, Cardiff, UK, 2007
4. Gunders, Dana. “Wasted: How America Is LosingUp to 40 Percent of Its Food from Farm to Fork toLandfill”. IP:12-06-B. New York, NY: NationalResources Defense Council,2012
5. T. H. Khan, "Automatic Expiry Date Notification System Interfaced with Smart Speaker," International Journal of Engineering Science Invention (IJESI), 2020, ISSN: 2319-6734.
6. Ebode Alpha Friday and Tiamiyu Olalekan Soulish, "Automated Drug Expiry Detection and Alert System Via Email Notifications," American Journal of Networks and Communications, 2023.
7. Vlad Florea and Traian Rabeea, "Expiry Date Recognition Using Deep Neural Networks," International Journal of User-System Interaction, vol. 13, no.1, 2020, pp. 1–17.