This project implements LLM-enhanced indoor navigation in railway stations that enables navigation using natural language input and output. Users can specify their navigation request in free-form text and receive a textual step-by-step description of the route based on POIs as landmarks in the station.
LLM-based processing steps translate
- the user's request into start and destination geographical coordinates and levels
- the found geographical route into a list of instructions that reference easily visible waypoints for the user to orient himself.
The routing itself relies on an existing routing API.
This project has been initiated during the Hack4Rail 2026, a joint hackathon organised by the railway companies SBB, ÖBB, and DB in partnership with the OpenRail Association.
- Python 3.10+
- Node.js 18+
As-is, this code base only works within the VPN of Deutsche Bahn and with suitable API keys for calling the DB GenAI Hub (which provides the LLMs to use) and the RIS-Maps API.
Copy the .env file to the project root (or ensure it exists). It must contain:
RIMAPS_BASE_URL=...
RIMAPS_USER=...
RIMAPS_PASSWORD=...
GENAI_API_KEY=...
GENAI_ENDPOINT=...
cd backend
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtStart the development server:
uvicorn main:app --reload --port 8000cd frontend
npm installStart the development server:
npm run devThe frontend runs on http://localhost:3000 and connects to the backend at http://localhost:8000.
The content of this repository is licensed under the Apache 2.0 license.