Real-time student answer evaluation with AI feedback

• Introduction
• Features
• Technology Stack
• Installation

Scholar Compare is an AI-powered platform that revolutionizes how educators evaluate student answers. By leveraging LLMs, our system provides instant semantic analysis of student responses compared to a model answer, saving teachers hours of grading time while delivering personalized feedback.

Key Benefits:

• ⏱️ Reduces grading time by 75% (estimate)
• 🧠 Understands context and meaning, not just keywords
• 📊 Provides actionable insights into student understanding
• 📚 Preserves evaluation history for progress tracking

• AI-Powered Evaluation
  Semantic analysis using Google's Gemini API
• CSV Batch Processing
  Upload and evaluate entire classes in seconds
• Evaluation History Save previous evaluations and export the data.
• Detailed Feedback for each student Identify conceptual gaps and knowledge strengths
• Responsive Design
  Works on a variety of screen sizes

• Node.js 18.x
• Python 3.10
• MongoDB Atlas account
• Google Cloud account with Gemini API access

# Navigate to backend directory
cd ../backend

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/MacOS
venv\Scripts\activate     # Windows

# Install dependencies
pip flask flask-cors pymongo

# Start Flask server
python app.py

# Clone repository
git clone https://github.com/your-username/intelligrade.git
cd intelligrade/frontend

# Install dependencies
npm install

# Start development server
npm run dev

Then press on the link that shows up on your terminal.