Digital NoseMeasure over time
Follow TVOC, estimated CO₂ and the sensor’s air-quality index. See changes over time, with clear device health and data freshness.
Skip to contentUnderstand what’s
TVOC ppb A smell passes.
Connect the reading
Better questions.
Open-source air sensing
Understand what’s
in the air.
Digital Nose captures environmental signals to detect odour events, track changing conditions and build a clear record of what happened, when it happened and how the surrounding environment changed.
No account needed for the demo.
Readings & surroundingsIllustrative preview
The full picture
A moment, with context.
Window open 15:25–16:30Smell reported 4 / 5SW 14 km/h
Look for patterns. Add the context that numbers miss.Try the interactive version
Built with familiar tools. Connected to real-world sensing.
- TypeScript
- Next.js
- Supabase
- Vercel
- Raspberry Pi
- DFRobotGravity · ENS160
Why Digital Nose exists
A smell passes.
The record stays.
A takeaway opens nearby and cooking smells start drifting in. Paint fumes linger after work next door, or a strong cleaning smell keeps returning. By the time you speak to Environmental Health, the smell may have gone.
Digital Nose helps you keep a record while it happens. Log what you notice alongside air readings, window activity and weather, so you can show when smells occurred and how often they returned. If you later contact your council’s Environmental Health team, you have a history to discuss rather than relying on memory.
Where does Environmental Health fit in?
In England, councils commonly use human smell assessments and may ask people to keep odour diaries. Weather and wind also matter. Digital Nose adds a record over time to support those conversations; it does not replace professional assessment or determine whether a statutory nuisance exists.
How councils assess nuisance smellsFrom sensing to understanding
Connect the reading
with the real world.
Record what you notice
Add a smell, its intensity and a note. Residents contribute observations; the owner records window and room occupancy changes.
Put it in context
Compare readings with wind, weather and room activity on the same timeline. Explore what happened around a peak.
Sensor estimates help reveal patterns. They do not identify individual chemicals, prove a source, or certify that air is safe.
Open by design
Better questions.
Shared understanding.
Understanding recurring smells should not depend on memory alone. Digital Nose makes the method visible: how readings are collected, how observations are recorded, and how they appear together.
Keeping the project open source means you can inspect how it works, run your own setup, adapt it to your needs, and contribute improvements. The code is shared so the tools for understanding air can be improved together.
Explore the repositoryRead it. Run it. Adapt it.
Application code, sensor integration and setup instructions in one repository.
Apache License 2.0
Use and modify the project under a permissive open-source license.
Read the licenseStart with curiosity
Explore first. Build when you’re ready.
Take a look around
Explore a complete example with sensor readings, smell reports and weather. No hardware or account needed.
Open demoBuild your own setup
Start with the Raspberry Pi and ENS160 guide, then connect your sensor to your own deployment.
Read the setup guideAlready have access to a site? Your account