Education Webapp OMR Integration

I have already built the core of an education webapp on the Lovable platform, focused entirely on interactive quizzes. Now I want to take it live on Google Play and, before that, embed a dependable Optical Mark Recognition layer so students can snap their answer sheets and receive instant results.

Here is where I need your expertise. The OMR sheets are final and ready; what is missing is the code that will read them, return real-time feedback, and gracefully flag or correct mis-reads. Once that works inside the web version, the same experience has to be bundled, signed, and published to the Play Store with all the usual policy and asset requirements handled.

Deliverables
• Functional OMR component inside the existing Lovable webapp that provides real-time scan and feedback and includes error detection / correction
• Tested build running smoothly across common Android screen sizes and cameras
• Play Store–ready release (AAB), including listing setup, screenshots, signing, and the first successful rollout

Acceptance criteria
• A sample sheet scanned on mid-range hardware returns a score in under three seconds
• At least 98 % accuracy on a 20-question sheet under normal lighting
• Google Play review passes on the first submission without policy or technical rejection

If you are comfortable working with Lovable’s framework, camera APIs, and the Play publishing workflow, I am ready to start immediately and can provide access to the repository and the finalised sheets as soon as we agree on an approach.