Visually coherent banners generated in multiple sizes and designs by just setting few parameters
Automated Banner Generation System
The Akaike Edge
Experienced ML and DL Ops teams
Efficient Deployment 0%
Ongoing Maintenance 0%
For the task, the primary step was to gather all the guidelines for the banner generation such as image quality, background color, CTA text color and font, placement of the food item, and text on the banner.
Conducted computer vision experiments for different steps
Since there was an exhaustive set of guidelines and rules for the banner generation, we divided the steps into smaller tasks. For example, to find the appropriate food image as per the food item, we experimented with image stock APIs and selected the most relevant one. Additionally, to get the precise location of the food items, object detection API was used to get the right bounding box for the food item to adhere to the guidelines. Similarly, the algorithm was designed to put the text on the left and the food image on the right side of the banner as per the guidelines.
Created a Web Application
A web application was created wherein the users can input parameters such as food, discount, CTA, and more and they get 3-4 banner samples from which the most relevant one was used.
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