Skip to content

techsyndicate/grader-ai

Repository files navigation

🎓 grader.ai

A revolutionary AI-powered educational platform that transforms learning through intelligent automated paper evaluation. Built with Next.js 15, TypeScript, and cutting-edge AI integration.

AI Education Platform Next.js TypeScript Tailwind CSS

✨ Features

📝 Smart Paper Evaluation System

grAIder's flagship feature is its intelligent automated paper evaluation system that revolutionizes the traditional grading process. Our advanced AI analyzes student responses with human-like understanding while providing detailed, constructive feedback.

🎓 Educational Benefits

  • Time Savings: Reduce grading time by 90%
  • Consistency: Eliminate human bias and grading variations
  • Immediate Feedback: Students get instant results and improvement suggestions
  • Detailed Analytics: Teachers gain deeper insights into student performance
  • Scalability: Handle large classes without additional workload

🔍 Advanced Document Processing

  • Multi-format Support: Seamlessly handles PDF, DOC, DOCX, TXT, JPG, JPEG, PNG files
  • Intelligent OCR: State-of-the-art Optical Character Recognition that accurately extracts text from:
    • Handwritten student responses
    • Scanned documents and images
    • Mixed content (text + diagrams + equations)
    • Poor quality scans with noise reduction
  • Smart Text Preprocessing: Automatically cleans and structures extracted content
  • Batch Processing: Handle multiple student papers simultaneously

🎯 Intelligent Feedback Generation

  • Detailed Performance Breakdown:

    • Question-by-question analysis
    • Strengths and weaknesses identification
    • Skill gap analysis
    • Learning objective alignment
  • Constructive Feedback:

    • Specific improvement suggestions
    • Resource recommendations
    • Practice problem generation
    • Concept clarification
  • Personalized Insights:

    • Learning style analysis
    • Progress tracking over time
    • Difficulty level recommendations
    • Custom study plans

🔄 Three-Step Evaluation Process:

  1. Upload Phase:

    • Drag-and-drop interface for easy file uploads
    • Multiple document type support
    • Batch upload capabilities
    • Real-time upload progress tracking
  2. AI Processing Phase:

    • Advanced OCR text extraction
    • Natural language processing
    • Answer pattern recognition
    • Intelligent scoring algorithms
    • Quality assurance checks
  3. Results Generation:

    • Comprehensive evaluation reports
    • Individual student feedback
    • Class performance analytics
    • Downloadable grade sheets
    • Integration-ready data exports

🎨 Modern Design & UX

  • Matrix-inspired animations with cyberpunk aesthetics
  • Responsive design optimized for all devices
  • Custom fonts: Geometrisk and Raleway for premium typography
  • Smooth animations powered by Framer Motion
  • Glass-morphism effects and modern UI components

📊 Progress Tracking & Achievements

  • Learning Analytics: Track sessions, messages, and subjects
  • Achievement System: Unlock badges for milestones
  • Streak Tracking: Maintain daily learning habits
  • Performance Insights: Monitor learning progress

🚀 Quick Start

Installation

  1. Clone the repository

    git clone https://github.com/techsyndicate/byte-heck-25.git
    cd byte-heck-25
  2. Install dependencies

    bun install
  3. Environment Setup Create a .env.local file in the root directory:

    OPENROUTER_API_KEY=your_openrouter_api_key_here
  4. Start the development server

    bun dev
  5. Open your browser Navigate to http://localhost:3000


Tech Syndicate💚Byte

Releases

No releases published

Packages

No packages published

Contributors 5