糖心Vlog

An app developed by 糖心Vlog scientists to track food stocks during COVID-19 is now ranked in the top 10 free apps in the UK鈥檚 Google Play Store.

An app developed by 糖心Vlog scientists to track food stocks during COVID-19 is now ranked in the top 10 free apps in the UK鈥檚 Google Play Store.

Nosh has also won the at the Best Mobile App Awards 2020. 

Nosh is ranked 8th for "Top New Free" apps in the Productivity category in the UK鈥檚 Google Play Store, and is ranked 887^th among the millions of apps in the UK鈥檚 Apple App Store. The app has also received a lot of attention in India and the app is ranked at 732nd for free apps in the Apple App Store.

The app was created in response to the pandemic totally changing most people鈥檚 food buying habits 鈥� from stockpiling groceries in the early weeks of the crisis to shopping less often, at different times and in different ways. This has meant households run the risk of having more food waste as they adapt to new shopping routines.

Computer scientists from the University鈥檚 School of Computer Science and Electronic Engineering joined forces with colleagues in India to develop the free smartphone app capable of reminding households of the expiry date of the stocked items before they expire.

The nosh app was initiated by Somdip Dey and Anupam Ghosal, who met while working on a business idea at the StudioX start-up hub at the University.

"In the first week of our app release we already gained 300 active users and now in less than a month of its release we have crossed 1K combined active users on Android and iPhone,鈥� said Somdip. 鈥淔eedback from our users of the nosh app has been very positive. In fact, in the beginning the feedback was quite overwhelming. Such positive responses reaffirmed my confidence in implementing state-of-the-art research in an applicative project like nosh to help people during this difficult time.鈥�

The project team has now founded a tech start-up called with support from StudioX.

As Somdip鈥檚 research is focused on implementing artificial intelligence (AI) in mobile platforms for performance, efficiency and reliability, he will continue to develop the technology to enhance the app's user interface to improve the user experience.

鈥淲e have also developed an AI algorithm that is capable of reading texts with an accuracy of 80% on an average. This means we will soon be updating the app further to include a 鈥榮can receipt鈥� feature, which could be used to scan items from receipts rather than the user having type them into the app,鈥� added Somdip.

Using AI, the app enables the users to track the expiry date of food items along with the user's buying and food waste habits, which enable the user to make an informed decision on what items to buy or not to buy. The user can plan their shopping in-app before they go out to buy the items. The user is also able to get recipe suggestions on the stocked items so they can utilise the items better before they expire.

The nosh team also includes Suman Saha, a computer engineering student from the University of Engineering and Management (UEM) in Kolkata, India and programming enthusiast Lakshya Gupta.