Our Work
Given that a vast array of environmental issues impose consequential threats to our planet's sustainability, Envirofit works to innovate solutions to these problems through the use of technology along with rigorous data analysis. At the very intersection of environmentalism and data science, our original and creative projects aim to make the world a better place.
Stage 1: Oceanic Pollution
created a watershed delineation simulation in Python which utilizes a digital elevation machine learning model.
View thE completed project's open-source code now!
Stage 2: deforestation
Developed a Unet-based machine learning algorithm which maps deforestation using Sentinel-2 Level 2A multi-spectral images.
View thE completed project's open-source code now!
Stage 3:
air pollution
Programmed a computer-vision algorithm which mitigates the air pollution in a given region by predicting the number of trees that should be afforested on free land.
View thE completed project's open-source code now!
teams
Research
The research team serves as the foundation for our projects. They are responsible for obtaining a core understanding of the scientific concepts behind a certain phenomenon.
Data Analysis
The data analysis team thoroughly studies the data that we collect and use for a given project. They identify trends, make connections, and draw conclusions, helping us hypothesize about a given topic more accurately.
Software Development
The software development team works on the programming aspect of our projects. They use artificial intelligence and machine learning methods in order to synthesize raw data into thorough and engaging applications.