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Plair

AIR MICROBIAL MONITORING APP

Country: SwitzerlandTechnologies: Django, AngularTime together: 4 months Team: PM, 2 developers, QA

Overview

With unique technologies, Plair SA aims to protect industries from airborne threats invisible to the naked eye. Patented intelligent bioaerosol sensors detect and identify outdoor airborne particles in real-time, measure allergens, pathogens, pollutants, and more. Microbial contaminants pose a threat to many industries. Plair solutions improve quality control and risk management.

Purpose and Need

The main purpose of the application is to receive, manage and analyze real-time air pollution data from intelligent bioaerosol sensors in any environmental conditions.

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MVP for Startups
So we started with the team
Anna Ianushenko
Business Analyst
Nikolay Budnikov
QA Engineer
Rostyslav Stekh
Full-stack Developer
Eugene Savchenko
Full-stack Developer
We made a product, with a great number of features
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1. Real-Time Monitoring and Automatic Counting 

On dashboards, users can see data from machines installed in different regions. The system collects and displays pollution data for the required period on graphs that can be configured using special filters: period, location, specific sensor, particle type, etc.

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2. Setting Thresholds For Particles 

Users can set limit values for different particles in specific locations. The air quality cheker will automatically take this data into account and show on graphs where the allowable limits are exceeded.

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3. Configuring Instruments Settings

In a separate tab of the application, users can monitor and display data about sensors and their calibration.

And also analyze weather conditions in the location where each specific machine collects data.

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The application provides flexible display settings for each sensor in the system. The user can freely add or delete a specific machine, edit data about the sensor name, location, users, last maintenance, etc.

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4. Organization Settings

A separate tab contains data about companies and users who manage sensors. Convenient ways to edit information are also available here: adding and deactivating users separately for companies and persons, access levels, contact details, etc.

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5. Mobile Version

The application is also available in the mobile version, which has all the features of the desktop one.

Technology

The Plair air quality app was developed on Angular with the Django based back end.

Results

We have successfully released the project, which has become an interesting experience for us in terms of its usage area. Plair continues to improve its technology and update the application to maximize its customers' satisfaction and become the best air quality app.

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