Hello SLAM

Hello SLAM is an educational collection of notebooks and a Next.js website that teaches Simultaneous Localization and Mapping (SLAM) techniques (Kalman filters, particle filters, graph-based SLAM, etc.). The interactive site and visualizations are in the src/ app, and Jupyter notebooks live under hello-slam/notebooks.

• Live site: https://hello-slam.optikflows.com/

Quick start

Install dependencies and run the Next.js site:

npm install
npm run dev

Open the Jupyter notebooks (inside hello-slam):

cd hello-slam
# create a venv or use your Python env, then
pip install -r requirements.txt
./start-notebook.sh

Or build and run the hello-slam Docker image (Dockerfile included):

cd hello-slam
docker build -t hello-slam .
docker run --rm -p 8888:8888 hello-slam

Structure

• src/ — Next.js app and interactive visualizations
• content/ — MDX lesson content
• hello-slam/ — Jupyter notebooks, Dockerfile, and helper scripts
• public/ — static figures and assets

License

See hello-slam/LICENSE for license details.

If you'd like a longer README (badges, contribution guide, deployment notes), I can expand this.