Nâmedâr

Nâmedâr Simulation & Grading Guide

Learn how to run direct OMR (Optical Mark Recognition) grading directly inside your browser. We have provided a complete set of simulation assets below to evaluate the high-performance Rust/WASM engine without any setup.

Download Simulation Materials

To proceed with this walk-through, download both the configuration schema and the five filled student answersheet images.

namedar-test-paper.json

Template configuration file

Download Template Schema

Simulation Student Scans (5 JPEG Images)

Pre-filled sample exams to run against the template matching processor.

pic-1.jpgpic-2.jpgpic-3.jpgpic-4.jpgpic-5.jpg

Workflow Roadmap

1

Import Project Configuration

Go to the Settings page in Nâmedâr. Locate the Data Management panel, click Import Backup, and upload the downloaded namedar-test-paper.json template.

2

Verify Imported Template

Navigate to the Papers list. You will find a brand new card named "Test Paper - 1" containing pre-defined optical parameters.

3

Access print snapshot

Go to the Printing tab, locate the imported print configuration, and click the Process link button next to it.

4

Evaluate and Save Results

On the Processing view, upload the 5 downloaded JPEG images. Define correct evaluation criteria, click Run, and then select Save Results.

Performance Verification: Notice that correct coordinates alignment, normalization, and detection processes happen entirely client-side using WebAssembly. Once finished, navigate to the Results page to export standard CSV structures or grade details.
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