Project Overview
Grade-AI is a sophisticated full-stack AI application that provides intelligent, ethical feedback on student assignments while maintaining academic integrity. The system leverages OpenAI's API to analyze assignments, generate constructive feedback, and predict grades without giving away specific answers that would undermine learning outcomes.
Key Features
- AI-Powered Feedback: Uses OpenAI API to generate contextual, helpful feedback on assignments
- Academic Integrity: Designed to avoid specific answers, fostering critical thinking and learning
- Grade Prediction: Intelligent algorithms predict assignment grades based on analysis
- Modern Frontend: React/Next.js responsive web application
- Robust Backend: Python Flask server for API handling and OpenAI integration
- Full Documentation: Comprehensive user manual and technical documentation
Architecture
Frontend: Built with React and Next.js for a modern, responsive user interface. Provides seamless interaction for students to submit assignments and receive feedback.
Backend: Python Flask server handles API requests, integrates with OpenAI API, and processes assignment data. Manages the logic for feedback generation and grade prediction.
AI Integration: Leverages OpenAI's language models to understand assignment context and generate meaningful, ethical feedback.
Technology Stack
Python
Flask
React
Next.js
Node.js
OpenAI API
JavaScript
Team
Grade-AI was developed collaboratively with talented developers:
Skills Demonstrated
- Full-Stack Web Development
- API Integration (OpenAI)
- Frontend Development (React/Next.js)
- Backend Development (Python/Flask)
- AI/ML Application Development
- Database Design and Management
- Collaborative Software Development
- Ethical AI Design
Getting Started
The project includes comprehensive documentation for setup and usage:
- Frontend: React/Next.js with npm package management
- Backend: Python Flask with pip dependencies
- Detailed setup instructions in README
- User manual in documentation folder