01
Feature 01
Automated OMR answer sheet evaluation
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Automated OMR Evaluation System
OMR Checker
OMR Checker is an automated optical mark recognition system built to evaluate student answer sheets in bulk. The system processes uploaded OMR images, detects marked answers, calculates scores automatically, and exports the final results into CSV or Excel-compatible formats.
- Role
- Full Stack Python Developer
- Timeline
- Completed
- Type
- Production Build
01 / Overview
The project story.
OMR Checker is an automated optical mark recognition system built to evaluate student answer sheets in bulk. The system processes uploaded OMR images, detects marked answers, calculates scores automatically, and exports the final results into CSV or Excel-compatible formats.
Computer VisionEducation TechnologyAutomationFull Stack Development
02 / What it does
Built around the details.
Core capabilities designed to make the product reliable, useful, and ready for real-world use.
02
Feature 02
Bulk image upload and processing
03
Feature 03
Template-based OMR calibration
04
Feature 04
Automatic bubble detection
05
Feature 05
Answer extraction and question mapping
06
Feature 06
Automatic score calculation
07
Feature 07
Support for multiple-choice answer sheets
08
Feature 08
Image preprocessing pipeline
09
Feature 09
Debug image generation for processing stages
010
Feature 010
CSV and Excel-compatible result export
011
Feature 011
FastAPI backend
012
Feature 012
Structured result generation for student assessments
03 / Engineering
Problems, solved.
Challenge 01
Accurately detecting answer bubbles from scanned OMR sheets
Approach
Built an automated image-processing pipeline for OMR sheet analysis
Challenge 02
Handling image resizing, grayscale conversion, blur, and thresholding
Approach
Implemented bubble detection and answer extraction using computer vision techniques
Challenge 03
Reducing incorrect or duplicate bubble detections
Approach
Created template-based coordinate calibration for reliable answer recognition
Challenge 04
Mapping detected bubbles to the correct questions and answer options
Approach
Automated scoring and result generation from processed answer sheets
Challenge 05
Processing multiple answer sheets consistently and efficiently
Approach
Implemented bulk image processing for evaluating multiple student sheets
04 / Toolkit
Made with the right tools.
PythonFastAPIOpenCVComputer VisionHTMLNumPyPandas
Feature 01Automated OMR answer sheet evaluation
Feature 02Bulk image upload and processing
Feature 03Template-based OMR calibration
Feature 04Automatic bubble detection
Feature 05Answer extraction and question mapping
Feature 06Automatic score calculation
Feature 07Support for multiple-choice answer sheets
Feature 08Image preprocessing pipeline
Feature 09Debug image generation for processing stages
Feature 10CSV and Excel-compatible result export
Feature 11FastAPI backend
Feature 12Structured result generation for student assessments
05 / Outcome
Results that matter.
A reliable automated OMR evaluation system that reduces manual checking effort by processing answer sheets, calculating scores, and generating structured results automatically.
06 / In the product
A closer look.
