A full‑stack app to explore IoT devices, link them to critical infrastructure sectors, and surface known vulnerabilities with AI‑assisted insights.

• Browse and manage IoT devices
• Assign devices to one or more sectors
• Auto‑enrich devices with NIST CVE data and generate AI summaries via Ollama
• Color‑coded risk indicators and clean UI (SvelteKit + Tailwind + DaisyUI)

Prerequisites: Docker Desktop with Compose. For GPU, install appropriate drivers and Docker toolkit.

Using the frontend-and-backend-images.tar you can skip building the images local entirely:

First run this command to load the images:

docker load -i frontend-and-backend-images.tar

you can download the frontend-and-backend-images.tar file here

Then run one of the following commands

Go to Docker main to get all the following Compose.yaml files

• CPU:
  • docker compose up -d --build
• NVIDIA GPU:
  • docker compose -f Compose.yaml -f Compose.nvidia.yaml up -d
• AMD GPU:
  • docker compose -f Compose.yaml -f Compose.amd.yaml up -d

• Remove the image and stop services

  • docker compose down -v
    Note: -v will delete the database along with recently added IoT device(s)

• Stop Services

  • docker-compose stop

• Frontend : http://localhost:4173/
• Backend : http://localhost:8080/
• Ollama : http://localhost:11434/

• Admin: http://localhost:8080/admin/
• API: http://localhost:8080/api/
• Swagger UI: http://localhost:8080/docs/
• ReDoc: http://localhost:8080/redoc/redoc/

• Frontend (SvelteKit): PolySectorMap
• Backend (Django + SQLite): BackEnd/iot_backend
• Local LLM (Ollama): HTTP API at :11434 (see BackEnd/iot_backend/api.md)

• Root compose files: Compose.yaml, Compose.nvidia.yaml, Compose.amd.yaml
• Frontend files: PolySectorMap/src/routes/+page.svelte
• Backend DB: BackEnd/iot_backend/db.sqlite3

• cd PolySectorMap
• yarn install
• yarn run dev
• Build: yarn run build

• cd BackEnd

• 💻 Create venv and install:

  • python -m venv venv-backend && source venv-backend/bin/activate
  • pip install -r iot_backend/requirements.txt

• 🐛 Turn on debug mode

  • Create an .env file with the debug flag:
    • macOS/Linux: printf 'DJANGO_DEBUG="True"\n' > iot_backend/.env
    • Windows (PowerShell): Set-Content -Path iot_backend/.env -Value 'DJANGO_DEBUG="True"'

• 🚀 Migrate and run:

  • python iot_backend/manage.py migrate
  • python iot_backend/manage.py runserver 0.0.0.0:8080

• NIST CVE enrichment and AI summarization are triggered on device creation or via management utilities.
• Batch update (management command):
  • python BackEnd/iot_backend/manage.py update_threats
• Utility script (optional): BackEnd/update_all_device_threats.py
• Ollama endpoints and examples (generate/chat/embed, model ops): see BackEnd/iot_backend/api.md