Case Study
Completing an AI-powered assessment platform for educators
We took an early Lovable prototype and built it into a complete, production-ready platform — educator and student portals, AI question generation, automated marksheet evaluation, grading, and a gamified coin-reward system.
Overview
Hillcrestlogic AI (an NYClogic AI product) is an AI-powered teaching and assessment platform for K-12 educators, aligned to New York State (NYS) Regents standards. The founder had built an early prototype with Lovable; VanceIQ took over and carried it through to a complete, production-ready product spanning two connected experiences — an educator and admin app (thescangeniusapp.com) and a gamified student rewards portal, “Scholar Quest” (thescanscholar.com). We built out the full feature set: AI-generated assessments, automated paper scanning and evaluation, a standards-aligned grading system, student analytics, and an XP/coin rewards economy — wired together with AI API integrations and FERPA-conscious data handling.
The challenge
What we set out to solve
- Take an early no-code (Lovable) prototype and turn it into a complete, production-ready platform — without losing the founder's original vision.
- Build two connected experiences — an educator/admin portal and a gamified student portal — that share student data cleanly.
- Integrate AI into real teaching workflows: generating standards-aligned questions and worksheets, and reliably evaluating scanned student work.
- Stay aligned to NYS Regents standards and keep student-data handling FERPA-conscious.
Our approach
How we built it
We took over the Lovable prototype, hardened the foundation, and built the architecture a real product needs — authentication, role-based portals (admin/teacher, student, parent), and clean data flow between them.
We integrated AI APIs for the core workflows: topic selection and question/worksheet generation aligned to NYS standards, and an evaluation agent that scores scanned answer sheets.
We built the assessment and grading systems — a searchable question bank, adaptive worksheets, scan import with auto-rotation and answer keys, and custom NYS-aligned grading rubrics.
We designed the gamified rewards economy — XP, coins, streaks, badges, and parent reward pledges — and connected it to student performance so real progress drives the rewards.
What we delivered
Highlights of the build
Educator & admin portal
A full teacher and admin workspace — dashboard, class and student management, lesson plans, and quick actions for assessments, scanning, and reports.
Gamified student portal
“Scholar Quest” — a student experience where learners earn XP, coins, streaks, and badges for completing work and mastering standards.
AI question & worksheet generation
Topic selection mapped to NYS standards, with AI-generated questions, adaptive worksheets, and a searchable question bank.
Marksheet evaluation agent
Scan paper answer sheets — with auto-rotation and answer keys — and let an AI agent evaluate and score student work.
Standards-aligned grading
Custom grading rubrics calibrated to the NYS Regents 0–4 scale, with passing thresholds and misconception tagging.
Coin & rewards economy
XP and coins for assignments, mastery, and streaks; behaviour-based deductions for teachers; and real-world reward pledges parents can set.
Student mastery & improvement
Per-student and per-topic mastery tracking that surfaces each learner's strengths and the areas they need to improve.
Reports & analytics
Class and student performance analytics — averages, topics tracked, and work analyzed — shared between the teaching app and the rewards system.
AI integration, FERPA-conscious
AI APIs wired throughout for generation and evaluation, with student data handled in a FERPA-conscious way.
A closer look
Screens from the build
Built with
FAQ
Common questions
What did VanceIQ do for this platform?
The founder had built an early prototype with Lovable. We took it over and completed it into a production-ready platform — building out the educator/admin and student portals, AI question and worksheet generation, an AI marksheet-evaluation agent, a standards-aligned grading system, analytics, and a gamified XP/coin rewards economy.
How is AI used in the platform?
AI APIs power two core workflows: generating NYS-standards-aligned questions and worksheets from a selected topic, and evaluating scanned student answer sheets to assist grading. Student data is handled in a FERPA-conscious way.
What are the student and admin portals?
Educators and admins get a workspace for classes, assessments, scanning, grading, a teacher library, and reports. Students get “Scholar Quest” — a gamified portal where they earn XP, coins, streaks, and badges as they complete work and master standards.
Was the platform built from scratch?
No — we took over an existing Lovable prototype and carried it through to a complete production platform rather than starting over, preserving the founder's vision while giving it the architecture, AI integrations, and features a real product needs.
Services we used
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