Synaplan
Open-source AI platform for companies: self-hosted AI agents, GDPR-compliant chatbot widget, RAG knowledge base, WhatsApp and Outlook AI, MCP, multi-model routing. Docker, Kubernetes or hosted in Germ
AI-powered internship matching for students and employers
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Read the full README ↗PAU Interconnect is a comprehensive platform designed to bridge the gap between students, educators, and industry professionals. Built for the Pan-Atlantic University community, it streamlines the internship application process, provides AI-powered career tools, and manages official academic requirements like SIWES logbooks.
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├── backend/ # FastAPI application
│ ├── core/ # Configuration and security
│ ├── routers/ # API endpoints
│ ├── schemas/ # Pydantic models
│ ├── services/ # Business logic (Supabase, AI, Email)
│ └── main.py # Entry point
├── frontend/
│ └── pau-interconnect-app/
│ ├── app/ # Next.js App Router pages
│ ├── components/ # Reusable UI components
│ ├── lib/ # Utilities and Supabase client
│ └── public/ # Static assets
└── render.yaml # Infrastructure as Code for Render
cd backend
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
.env file based on .env.example (if available) or add:
SUPABASE_URL=your_supabase_url
SUPABASE_SERVICE_ROLE_KEY=your_key
OPENAI_API_KEY=your_key
RESEND_API_KEY=your_key
python -m uvicorn main:app --reload
cd frontend/pau-interconnect-app
npm install
.env.local file:
NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_key
npm run dev
The project is configured for deployment on Render using the render.yaml file.
This project is developed by Hillary Ilona.