AI platform helping students write personalized emails to professors for research opportunities.

• AI Email Generation - Create personalized outreach emails
• Professor Search & Matching - Find professors aligned with your research interests
• Mock Interview Practice - Practice with voice AI simulating professor conversations
• Campaign Analytics - Track responses and optimize your outreach strategy

• Frontend: Next.js
• Backend: Express.js
• Database: Supabase
• AI: Gemini API
• Voice AI: VAPI
• Additional Tools: Arcade.dev

# Clone the repository
git clone https://github.com/your-username/researchly-ai.git
cd researchly-ai

# Frontend setup
cd frontend
npm install
npm run dev

# Backend setup (in a new terminal)
cd backend
npm install
npm run dev

Add the following API keys to your .env files:

• Supabase credentials
• Gemini API key
• VAPI API key
• Arcade API key

researchly-ai/
├── frontend/          # Next.js application
├── backend/           # Express.js API server
└── database/          # Supabase schemas and migrations

1. Create Campaign → Upload your resume and set research interests
2. Find Professors → AI matches professors based on research alignment
3. Generate Emails → Create personalized content referencing their work
4. Practice Interviews → Use voice AI to simulate professor conversations
5. Track Results → Monitor responses and optimize your outreach

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License.

• Support: support@researchly.ai
• Issues: GitHub Issues
• Demo: Live Demo

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