A trivia quiz platform that writes, translates and illustrates itself
A React quiz application with an AI automation layer handling quiz translation into multiple languages and image generation for quizzes, questions and answer options.
The challenge
Quiz content does not scale by hand. Every quiz needs questions, every question needs options, and a genuinely good quiz needs an image for the quiz, often for each question and sometimes for each individual option. Multiply that by multiple languages and manual production becomes the bottleneck that caps the entire product.
What we built
- A polished React front end for playing quizzes
- Automatic translation of quizzes into multiple languages, so one authored quiz becomes many
- Automatic image generation for quizzes, for individual questions, and for answer options
- An automation layer that runs content production end to end rather than one asset at a time
How we built it
The AI work is a pipeline, not a chatbot bolted on. Content moves through translation and image generation as automated stages, with the application consuming finished output.
Image generation was applied at three levels of granularity, because a quiz card, a question and a single answer option each need a different kind of visual.
The React application was built to render generated content cleanly, which meant designing components that stay stable no matter what the pipeline produces.
Challenges we solved
- Content volume as the real constraint. The interesting problem was never rendering a quiz, it was producing thousands of them. Automating translation and imagery moved the bottleneck off human production entirely.
- Multi-language without multi-authoring. Automatic translation means a quiz is authored once and published in many languages, instead of being rewritten per market.
- Visual consistency from a generative source. AI-generated imagery drifts in style unless it is constrained. Prompt structure per asset type kept quiz, question and option images coherent.
“Absaar demonstrated a strong understanding of React and quickly grasped the intricacies of our project requirements. Their attention to detail was exceptional, resulting in a polished and user-friendly trivia quiz application that exceeded our expectations. They tackled challenges with enthusiasm and provided innovative solutions to complex problems.”
Technology used
More work
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