Project

Electronics & Machine Learning

Automated Answer Sheet Scoring System with Optical Mark Recognition

High-speed Raspberry Pi OMR scanner for multiple-choice exams with automatic grading, statistical analysis, web portal, and SMS score dispatch.

Electronics & Machine Learning
OpenCVPythonRaspberry PiMachine LearningIoTFirebaseJavaScriptBootstrap

Project Overview

A Raspberry Pi optical mark recognition (OMR) system that scans and grades multiple-choice answer sheets in seconds using OpenCV.

Automatically computes student scores and item-level statistics, publishes results to a web dashboard, and sends individual grades directly to students via SMS.

Key Highlights

  • High-speed OpenCV optical mark recognition on Raspberry Pi hardware.
  • Web dashboard for instructors plus automated SMS score notifications for students.
Web Application

digibooth

Free, zero-ad online digital photo booth that runs camera capture, live filters, and strip compositing entirely in the browser—scaled organically to 1.03M+ users.

View project
Automation

Enterprise CRM & Lead Generation Automation Pipeline

Production n8n workflows with custom Python and JavaScript that automate lead scraping, enrich records, and sync ClickUp, HubSpot, Gmail, and Google Sheets across departments.

View project

Get in Touch

Have a workflow to automate or a system to ship?

Send a note about what you're building or where manual work is slowing your team down. My inbox is always open.