Grader AI – Automating Handwritten Answer Sheet Evaluation with AI + OCR
Project Overview
Grader AI is a web-based application that transforms the traditional answer sheet evaluation
process using cutting-edge OCR and AI technologies.
It enables educators to automatically digitize handwritten answer sheets,
assess student responses, and provide topic-specific feedback.
With actionable insights and the ability to auto-generate quizzes based on weak areas,
Grader AI enhances student learning outcomes and saves teachers significant manual effort.
Our Solutions
DevsTree collaborated with Grader AI to build an intelligent web app powered by:
– Advanced OCR pipeline to digitize handwritten text
– AI model to evaluate content quality and match against rubrics
– Feedback engine to pinpoint weak knowledge areas
– Quiz generation based on individual learning gaps
The frontend and backend were built with scalable technologies to deliver fast performance, intuitive UX, and robust data handling.
Key feature/Admin panel features
Automated OCR Evaluation
– Extracted handwritten content from scanned images
– Parsed content into structured digital text for processing
– Enabled multi-language and multi-line input support
Intelligent Feedback System
– Identified topic-level weaknesses based on evaluated responses
– Suggested study areas for improvement
– Personalized quiz generation based on weak topics
Educator Dashboard
– Upload scanned answer sheets in bulk
– View evaluation summaries per student or batch
– Download feedback reports and quiz sets
Student Portal
– View digital feedback on submissions
– Track topic-level strengths and weaknesses
– Attempt AI-generated quizzes to reinforce learning
Business Challenge
– Manual checking of answer sheets was time-consuming and error-prone
– Students lacked structured feedback on topic-wise performance
– Teachers needed tools to digitize and modernize evaluation workflows
– Difficulty in tracking academic progress and personalizing learning
Technology Stack
Frontend:React.js
Backend: NestJS (API), Python (OCR processing)
Database:PostgreSQL
Impact & Results
– Reduced evaluation time by 75%
– Enhanced student learning via feedback-based quizzes
– Enabled scalable evaluation across institutions
– Increased transparency and trust through AI-driven scoring
Looking to Build a Product Like This?
Looking to automate academic evaluations and personalize education with AI?
Partner with DevsTree to build intelligent EdTech platforms that elevate learning outcomes and simplify educator workflows.