**AI-Powered - 🔄 Actual AI-powered bubble sheet recognition
- 🔄 Real camera integration for scanning
- 🔄 Computer vision processing
- 🔄 Database integration for real data
- 🔄 Production-ready deployment
SnapGrade is designed to be an open source solution for educators worldwide.
While this started as a personal learning project, the goal is to develop a truly free, accessible AI-powered grading tool that can help teachers everywhere save time and improve their workflow. Commercial grading solutions are often expensive and out of reach for many educators - this project aims to change that.
We believe the best educational tools are built by the community, for the community. Whether you're:
- 👩💻 A developer interested in AI/ML, computer vision, or web development
- 👨🏫 An educator with insights into grading workflows and pain points
- 🎨 A designer passionate about educational UX/UI
- 🧪 A researcher working on educational technology or computer vision
- 📝 A technical writer who can help with documentation
Your contributions are valuable and welcome!
Interested in collaborating on building an open source AI grader for teachers? I'd love to hear from you:
- GitHub: Open an issue or start a discussion on this repo
- Email: [[email protected]]
Together, we can build something that truly helps educators worldwide! 🚀e Sheet Grader Concept - Work in Progress**
🚧 This is a work-in-progress project for practicing Next.js, React, and TypeScript development. The AI functionality is not yet implemented, but you can explore the demo flow to see how the finished app will work.
Current State: Frontend prototype with demo functionality
Purpose: Learning and practicing modern web development
Next Phase: Implementing actual AI/computer vision technology
- ✅ Complete UI/UX design and animations
- ✅ Demo flow showing how the app will work
- ✅ Responsive design and PWA features
- ✅ Authentication system setup
- ✅ Dashboard and analytics mockups
- 🔄 Actual AI-powered bubble sheet recognition
- � Real camera integration for scanning
- 🔄 Computer vision processing
- 🔄 Database integration for real data
- 🔄 Production-ready deployment
Experience the app concept and explore the user flow:
- Node.js 18+
- npm or yarn
- Modern web browser
# Clone the repository
git clone https://github.com/adiluexe/snapgrade.git
# Navigate to project directory
cd snapgrade
# Install dependencies
npm install
# Start development server
npm run devOpen http://localhost:3000 to explore the demo.
- Landing Page - Complete marketing site with animations
- Authentication Flow - Sign up/sign in pages (demo only)
- Dashboard - Mockup of the main application interface
- Demo Mode - See how the scanning and grading process will work
- Sample Data - Explore analytics with mock student data
Note: No actual AI processing happens yet - this is all frontend simulation to demonstrate the intended user experience.
This project demonstrates proficiency in modern web development:
- Next.js 14 - App Router, Server Components, and modern React patterns
- TypeScript - Type-safe development and better code quality
- Tailwind CSS - Utility-first CSS and responsive design
- GSAP - Professional animations and micro-interactions
- Lucide React - Consistent iconography
- Responsive Design - Mobile-first approach
- Progressive Web App - Native app-like experience
- Accessibility - WCAG guidelines implementation
- Animation - Smooth, purposeful transitions
- Modern UI Patterns - Contemporary design trends
- Component Architecture - Reusable, maintainable code
- TypeScript Integration - Full type safety
- Performance Optimization - Fast loading and interactions
- Code Organization - Clean, scalable structure
snapgrade/
├── app/ # Next.js App Router
│ ├── auth/ # Authentication pages (demo)
│ ├── dashboard/ # Main application mockup
│ ├── globals.css # Global styles and animations
│ ├── layout.tsx # Root layout with SEO
│ └── page.tsx # Landing page
├── components/ # Reusable UI components
├── lib/ # Utility functions and demo data
├── public/ # Static assets and icons
└── types/ # TypeScript definitions
npm run dev # Start development server
npm run build # Build for production
npm run start # Start production server
npm run lint # Run ESLint- Next.js App Router - Modern React framework patterns
- TypeScript - Type safety in React applications
- Tailwind CSS - Utility-first styling approach
- GSAP Animations - Professional web animations
- Component Design - Reusable UI architecture
- Responsive Design - Mobile-first development
- SEO Optimization - Meta tags, OpenGraph, structured data
This project welcomes contributors of all skill levels! Whether you want to learn alongside or help implement the AI features, there's a place for you.
- Code: Frontend improvements, AI/ML implementation, backend development
- Design: UI/UX enhancements, accessibility improvements
- Research: Computer vision algorithms, educational workflow analysis
- Documentation: Tutorials, guides, and educational content
- Testing: User feedback, bug reports, feature suggestions
- Ideas: Educational insights, technical approaches, feature concepts
- UI/UX design feedback and improvements
- Code structure and performance optimization
- Accessibility and internationalization
- AI/ML research and implementation
- Educational workflow and teacher needs analysis
- Documentation and learning resources
- Real AI/ML integration for bubble sheet recognition
- Camera API integration for live scanning
- Database design for educational data
- User authentication and class management
- Production deployment and scaling
- Mobile app development
New to open source? This is a great project to start with! We're happy to mentor and help you learn.
- Landing page design and animations
- Authentication UI mockups
- Dashboard and analytics interface
- Demo flow implementation
- Responsive design
- Database schema design
- User authentication system
- API routes for data management
- File upload handling
- Session management
- Computer vision research and setup
- Bubble detection algorithms
- Image processing pipeline
- Accuracy testing and optimization
- Real-time processing
- Performance optimization
- Security hardening
- Deployment infrastructure
- Monitoring and analytics
- User testing and feedback
This project is licensed under the MIT License - see the LICENSE file for details.
Open Source & Free Forever - This project will always remain free and open source to ensure accessibility for educators worldwide.
Building an open source AI grader for teachers worldwide 🌍⚡
Started as a learning project • Growing into a collaborative effort
Want to help? Reach out and let's build something amazing together!