🚀 Veda AI — AI-Powered Assignment Generator
🔗 Live Demo: https://veda-ai-self.vercel.app/ 🔗 Backend API: https://veda-backend-sdxn.onrender.com
📌 Overview
Veda AI is a full-stack AI-powered platform that allows users to generate structured academic assignments dynamically. Users can create assignments, generate questions using AI, and export them as downloadable PDFs — all in a seamless workflow.
✨ Features
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🧠 AI Question Generation Generate structured assignments using AI
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📝 Assignment Builder UI Create assignments with custom parameters (marks, question types, etc.)
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📄 PDF Export Download generated assignments instantly
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📊 Dashboard & Assignment Management View and manage all created assignments
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⚡ Real-time API Integration Seamless frontend ↔ backend communication
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🧱 Scalable Architecture Designed with queue-based processing support
🛠️ Tech Stack
Frontend
- Next.js (App Router)
- TypeScript
- Tailwind CSS
Backend
- Node.js
- Express.js
- TypeScript
Database
- MongoDB (Atlas)
Other Tools
- Render (Backend Deployment)
- Vercel (Frontend Deployment)
- GitHub (Version Control)
⚙️ Architecture
Frontend (Vercel) ↓ Backend API (Render) ↓ MongoDB + AI Service ↓ PDF Generation
🚀 Getting Started (Local Setup)
- Clone the repository
git clone https://github.com/DISHA7-debug/Veda-AI.git cd Veda-AI
- Setup Backend
cd backend npm install npm run dev
Create a ".env" file:
MONGO_URI=your_mongodb_uri OPENAI_API_KEY=your_api_key PORT=5000
- Setup Frontend
cd frontend npm install npm run dev
Create a ".env" file:
NEXT_PUBLIC_API_URL=http://localhost:5000
🌐 Deployment
- Frontend: Vercel
- Backend: Render
Environment variables are configured for production API connection.
🧠 Key Learnings
- Handling CORS issues in production environments
- Managing full-stack deployment (Vercel + Render)
- Building AI-integrated workflows
- Debugging real-world issues like:
- Deployment failures
- API connectivity
- Environment configuration
📌 Future Improvements
- 🔄 Add authentication system
- 📱 Improve mobile responsiveness
- 📂 Save & categorize assignments
- ⚡ Optimize performance & caching
👤 Author
Disha Chopra 🔗 GitHub: https://github.com/DISHA7-debug
⭐ Show Your Support
If you like this project, give it a ⭐ on GitHub!