Master Thesis: Automatic image enhancements for food and drink at WEIQ

WEIQ Orders

WEIQ is the casual way to order and pay at a restaurant. Making the restaurant visit simple and the restaurant operations running smoothly.

The team at WEIQ provides a SaaS product that increases efficiency, sales and capacity for restaurants allowing more time for genuine service. Guests can use their phones to order, pay and get information and the staff spends less time behind a screen, running with orders or card terminals.

WEIQ also takes care of the job after the guests have left with integrations for easy admin. WEIQ powers memorable restaurant visits and allows the guests to have more time for each other.

WEIQ is one of the leaders for food & beverage orders in Sweden with over 350 000 users and 250+ restaurants but is also a company in scale-up mode with a lot of pots on the stove. Our most exciting times are still ahead of us, and we want you to be a part of the story.

Thesis description

Today restaurants upload images of food and drinks that will be displayed in a menu in our application. The post processing steps available to the restaurants after uploading the image are cropping, zooming, and positioning. Based on the time, effort, and capability of the person in charge, the quality of the final image differs.

The idea behind this thesis is that the person aforementioned would be presented with several recommended setups for the image based on some presentability criteria.

The thesis is about analyzing and evaluating AI methods used to recommend image-enhancements. This involves investigating image datasets, choosing appropriate algorithms, and figuring out ways to evaluate the resulting models.

Although the image options are cropping, zooming, and positioning, another idea is to recommend other enhancements of image parameters, such as color and brightness.

The objective of this thesis is to implement an AI-based model which recommends cropping-, zooming-, positioning enhancements to the image based on presentability.


  • A student starting their Master’s thesis project in Q1 2021 in Mathematics, Computer Science, Electrical Engineering or similar field.
  • Great analytical skills, eager to learn and find innovative solutions.
  • A genuine interest in image analysis, machine learning and artificial intelligence.
  • Good programming skills in Python.
  • Creative and strong personal drive.
  • Good communication skills and finding it easy to collaborate and expressing your findings and solutions.
  • Skills in English.


1 or 2 students 30hp.

Startdate: January/February 2022

Preferably students at Lund University that have the possibility of meeting with us at our offices in Malmö.

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