name of the application



author(s), year


short description of the application (one-two sentences)

Airveda presents an affordable, and accurate air quality monitor designed and manufactured in India, for the Indian context. The monitor connects to an app on your phone to help you know and manage the quality of air you are breathing


status of deployment (for example: real-life project, testing, demonstration,…)

real-life (India)

target population

general, public transportation, users, car drivers, truck drivers, children, cyclists,…

general public

software type

open-source (in order to make unique campaigns) or proprietary software

proprietary software

mode of operation

stationary, portable, wearable, …

stationary, portable


who can launch a campaign


air quality sensing technologies

which type of sensors or methodes are used to obtain air quality measurements. “Direct” methods refer to devoted sensing devices bought and used by the costumer, “indirect” methods to data collection methods from offial air quality networks

portable sensor (PM2.5 and PM10), air quality data from stations of Indian governement and US ambassy in India

other sensing technologies

for example meteorological data, positioning data, …

quantitative: what kind of data is measured

speed, distance, noise, location,…

PM2.5, PM10, AQI

what type of qualitative data is gathered


what kind of data is calculated

CO², cost, health, … / What is the basis of calculation (e.g. reference database, European guidelines for external costs, etc.)

PM2.5, PM10 concentration, air quality index, evaluation of AQI

reporting method

which reporting method is used (for example: website or directly on the smartphone’s app, heat maps, dashboard, and/or reports)

mobile application, website


method of reporting (visualisation) of the collected data (qualitative representation can be a red or a green light, a text explaining the progress, while quantitative representation consists of numbers or statistics

maps, graphs, real-time updates


self-monitoring, gamification, rewards, social networks,…

self monitoring

applicability of results

are the results useable for policy-makers and how can they obtain this information?



gaps and limitations of the campaign or application



other important remarks for the review, links to other projects,

battery powered (6 hours autonomy)

quantitative data source

air quality measurements with own device (direct) OR air quality data from official stations or other installed air quality networks (indirect) OR both


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