This UX case study aims to address the issue of Supersummary, a platform that creates digital and print literature summaries and study guides for over 10,000 books, not being able to use the original book covers on their platform. The goal was to evaluate and improve the user experience by developing a system that can create visually appealing and abstract covers that convey the mood and essence of each book, while also allowing for the incorporation of Supersummary branding.
• Develop a deep learning model that can understand the underlying concepts of a book and generate an abstract cover that is relevant and represents the book's content
• Utilize web scraping to gather data on the most popular colors used in book covers for a specific genre or theme, and use this information to create a color palette for the cover design
• Employ tagging and taxonomy techniques to identify key themes, moods, and other relevant information about the book
• Generate an abstract shape that can be repeated in different variations, resulting in a large number of unique cover designs
• Assist publishers and authors in creating high-quality abstract book covers that are relevant to the book's content and themes, with minimal effort and cost
The AI-powered Abstract Book Cover Generator was able to generate a large number of unique and visually appealing abstract book covers that were relevant to the book's content and themes, the color palette generated by the tool matched the trends of the genre and the theme and the tagging and taxonomy techniques were able to identify the main themes and moods of the book.
Datagran it's a complex product that involves Big Data, AI and Data Science. The challenge was to design solutions for user that are complex but usable, allowing people to interprate their own data and obtein powerful insights