4-Tier Mobile Learning Analytics Platform

I need a price quote on a fixed-price build of a complete mobile and web solution that lets educators scan paper checklists and instantly turn the handwritten ticks and comments into actionable analytics.

Core user story
On a mobile device, a teacher points the camera at a printed checklist. The app detects each box that has been ticked, captures any handwritten notes left beside the items, and syncs this data to the cloud. In the web dashboard the information appears as both pie-chart visualisations and text summaries so progress can be reviewed at a glance.

Key elements to deliver
• Cross-platform mobile app (iOS & Android) with real-time checklist scanning
• Handwriting recognition for both checkbox marks and short free-form comments
• Analytics engine that converts the raw scan data into charts and narrative insights
• Four distinct access levels (e.g., super-admin, school admin, educator, viewer) with role-based permissions throughout the mobile app and web dashboard
• Modern web interface to review scans, export data, and manage users
• Fully documented REST/GraphQL API, database schema, and deployment scripts

Acceptance criteria
1. Scan completes in under five seconds on mid-range devices.
2. Checkbox detection accuracy ≥ 95 %.
3. Handwritten comment recognition ≥ 90 % for legible English text.
4. Pie charts and text summaries update automatically within 30 seconds of upload.
5. Role permissions enforced end-to-end (mobile, API, dashboard).
6. Codebase passes provided unit and integration tests and ships with clear setup docs.

Preferred tech stack is open for discussion, though experience with Flutter/React Native, Python/Node.js, OpenCV, and a cloud backend (AWS, GCP, or Azure) will be valuable.

If your team can own the full cycle—from UX to deployment and post-launch support. FuLL rights sold to buyer —let’s talk timelines and milestones so we can lock in scope and kick off. Show More