🚀 Graxion - AI-Based Assessment & Feedback Platform

Graxion is an intelligent platform designed to revolutionize how assessments are created, delivered, and analyzed. With cutting-edge AI capabilities, Graxion empowers educators to effortlessly generate, manage, and evaluate assessments—while providing students with personalized feedback, AI-generated video explanations, and curated learning resources.

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🎯 Key Highlights

• ✍️ Manual, AI, and Hybrid Assessment Creation
• 🤖 Automated Grading & Feedback
• 📹 AI-Generated Video Explanations for Incorrect Answers
• 🧠 SWOT-Based Performance Insights
• 📚 Smart Resource Recommendations
• 💬 Upcoming AI Chatbot for Doubt Clarification

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🔧 Features

👨‍🏫 For Teachers

• Create assessments manually, using AI, or both
• Customize question type, difficulty, and topics
• Assign assessments to students
• Track performance and view SWOT analysis

👩‍🎓 For Students

• Access assigned assessments and submit responses
• Receive instant, AI-evaluated scores
• Get personalized feedback for each question
• Watch custom AI-generated videos explaining incorrect answers
• Explore recommended YouTube videos and articles
• View SWOT analysis for continuous improvement

🧠 AI Engine (Powered by Gemini API)

• Topic-wise, difficulty-based, and concept-tagged question generation
• Auto-grading of subjective and objective answers
• Personalized feedback generator
• AI-based explainer video creation
• Smart content recommendation system

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⚙️ Architecture Overview

• Frontend: React.js (deployed on Vercel)
• Backend + AI Services: Node.js / Express (hosted on Google Cloud Run)
• AI Integration: Gemini LLMs for assessment generation and evaluation
• Authentication: Currently experimental (full system coming soon)
• Database: Firebase
• Resource API: YouTube Data API + custom web scraping modules

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/Malay-dev/graxion.git
cd graxion

2. Install Dependencies

Frontend

cd client
npm install

Backend

cd ../server
npm install

3. Environment Setup

Create .env files with the following variables:

GEMINI_API_KEY YOUTUBE_API_KEY DB_URI PORT (Optional) AUTH_SECRET or Firebase credentials

4. Run the App Locally

Frontend

cd client
npm run dev

Backend

cd ../server
npm run dev

🧪 Experimental Note

Authentication system is currently under development. In future updates, users will be able to create secure accounts, manage personalized data, and experience full role-based access control.

📄 License This project is licensed under the AGPL License.