pollution-levels
There are 39 repositories under pollution-levels topic.
RigacciOrg/AirPi
A monitoring station for air quality based on Raspberry Pi
Platzi-MasterJam/UCA
Get the pollution in real-time and decide if you will move on
jakubowiczish/AirPollution
Command-line application providing some information about air quality in Poland. Tested using Mockito and JUnit
sebcaps/atmofrance
About Home assistant component to get air quality for french cities
Azzeccagarbugli/Discover
Perceive the noise pollution that surrounds you in a smart way
hammerdirt-analyst/IQAASL-End-0f-Sampling-2021
Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.
itzmeanjan/airQ
A near real time Air Quality Indicator for India, made with :heart:
susanalista/bcn_neutral_city
Viz project about pollution and cruise ships in Barcelona city before and after Covid-19.
apkirana/project_polusikalimantan
“Project Polusi Kalimantan” is focused on analyzing and visualizing air pollution data, specifically PM2.5 levels, across various regions in Kalimantan, Indonesia. This project combines data analytics, machine learning, and interactive web technologies to provide detailed insights into air quality trends
itzmeanjan/airQ-insight
Works on Air Quality Indication Dataset collected by airQ to give deeper insight, written with :heart: using Python
loryruta/pmcu-firmware
The firmware of PM Control Unit, a device that measures weather conditions.
mkos/krk-poll
Air pollution data scraping and analysis for Krakow, Poland
NathanDan/Data-Analysis-Team-Software-Engineering
This is a COVID-19 Air Pollution tracking program that looks at the correlation between COVID-19 Lockdowns and the overall pollution impact in certain European cities. The program utilses graphs and other visual stats to allow visual representations of significant or minimal difference in pollution levels with as a result to the on going pandemic.
pankajkumar9797/Pollution_in_India_KaggleData
Aim of this project is analyse dataset of pollution and answer some of the questions.
ritaxcorreia/polluto
💨A real-time worldwide pollution tracker built in ReactJS and JavaScript, using geolocation, Google Maps API and AirVisual API. This was the final project built for my General Assembly course.
vikramforsk2019/Streamlit
Impact of Air Pollution on our Lives during pre and post covid19.
ayushsingh1601/airdelhi-bot
A Reddit Bot to get latest pollution and covid status of Delhi
CaptainRex17/Data-Science-Project
Air pollution data analysis (2018CSC1040)
DeepanNarayanaMoorthy/ClimateWatch-Insights
A Time-series analytics dashboard built to visualise data associated with socio-economic indicators
geckoflume/hass-recosante
A Home Assistant component to get environmental indicators from https://recosante.beta.gouv.fr
MarijaMirchevska/air-pollution-skopje
Analyzing air pollution data from Skopje over five years (01.2012 - 12.2016) to identify the largest pollutant, most polluted neighborhoods, average pollution levels across locations using Air Quality Index (AQI), and examining PM10 pollution trends over the years.
mirawara/Polluted
Polluted is an Android app that estimates the air quality level based on a real-time sky photo.
pablobiedma/GoGreen
Java desktop application to minimize CO2 emissions, aiding in environmental sustainability by providing tools for carbon footprint measurement and reduction strategies.
PranavSPandya/GIS-Data-Visualisation
This project is one of academic projects given to us in Geographic Information System (GIS) Course. Created by: Pranav Pandya (Me) and Kartikey Hadiya We sampled information for pollution emmision in Delhi, India. Pollution data was obtained from: https://data.gov.in/resources/real-time-air-quality-index-various-locations Pollution index data can be obtained from: https://cpcb.nic.in/RealTimeAirQualityData.php Pollution data only had address of Indian Meteorological Department, so each station was located in Google Earth and pin points were added at each station. Then in the side bar containing those pins on right-click, a new folder was added and all the pins were added in that new folder in google earth. Then that folder was saved as kml file. This kml file was uploaded to Mygeodata: https://mygeodata.cloud/converter/kml-to-csv and was converted into csv. Then the csv file was opened and coordinates were copied in pollution data file. That file was later saved as csv and imported in ArcGIS and xy data was displayed. Shapefile was obtained from web search, which is attached as well. That shapefile was imported in ArcGIS and the final view was generated which is shown in the picture.
tetradsensors/tetrad-api-old
This is the Tetrad API, which allows users to query sensor data from Tetrad sensors around the world!
vasll/airproject
Measuring air quality with an Arduino and a JavaFX client
Wyverns010/IOT-pollution_sensor
IOT based Carbon monoxide measuring device
237triangle/Air-Pollution-Project
A project to examine air quality trends in Salt Lake City, Utah.
adistrim/cg-ml
CodeGreen - ML code
defwheezer/enviro-sensor-pi-Python-
Raspberry Pi based Environmental Monitor for Particulates, Gases, Smoke, Temp and Humidity.
juanmadurand/manhattan
Weather, Air pollution and ferrys map of Manhattan, NYC
mbrazalez/EsperAPI
API for Complex Event Processing using Spring Boot, Esper & a Mosquitto MQTT Broker
Nandavardhan007/ElectricVehicle
Feynn Labs : This is the project done by the group members of Aman ashraf khan(Lead),Myself Nandavardhan(Member),Niket(Menber),Ayues(Member) Electric vehicles and hybrid electric vehicles offer reduced operating costs, fuel savings, and environmental benefits.
Ross-Can/Plastic-Pollution-Tracker
PPT displays levels [relative to ALL oceans] of bottle pollution in Earth's major oceans. Instances received from ArcGIS api.
vishvish/fetch-service
Rust app to download all the air quality data files from the European Union website. You can easily import this data into a database and map changes in the different pollutants over time across thousands of locations in Europe.