Coder Social home page Coder Social logo

jatin-codes / forestvision Goto Github PK

View Code? Open in Web Editor NEW

This project forked from amirnaghibi/forestvision

0.0 0.0 0.0 11.13 MB

Prevent wildfires around the globe and save our planet

License: MIT License

Python 2.40% HTML 2.23% JavaScript 93.29% CSS 2.08%

forestvision's Introduction

Forest Vision

screen shot 2018-12-02 at 3 29 57 pm

Inspiration

Every year, there are thousands of wildfires around the world resulting billions of dollars in damages to the communities impacted by this natural disaster.
Unfortunately, the rates of wildfires have been increasing significantly due to global warming. That's why we created Forest Vision to identify locations that are most susceptible to wildfires and prevent them by notifying the fire departments.

What it does

Using the wildfire dataset from the government of British Columbia for the past decade, we have been able to identify the regions with a high rate of wildfire incidents and draw a heat map using the data.

To encourage community engagement, we enable local people to take pictures of biomass and plants in forests and we use those picture to predict the chance of wildfire happening in future using Azure Computer Vision.

Also, users can see live Tweets about natural disasters that are happening at the present moment.

How we built it We used Microsoft Azure computer vision API for predicting the chance of wildfire given an image. We also used other full-stack frameworks such as React JS, Redux, HTML, CSS, Material UI.

Challenges we ran into

Parsing the wildfire data for the past decade and extracting useful data was a huge challenge. Also setting up a cloud architecture was difficult and

Accomplishments that we're proud of

We have created a solution to address one of the biggest natural disasters in the world and hope that apps such as Forest Vision will be able to prevent wildfires so we can protect our planet.

What we learned

Charlotte is one of our team members and she has studied environmental science and using her knowledge about natural habitat preservation, our team was able to learn so much about the issue of global warming and create a solution to address that.

What's next for Forest Vision

We plan to expand our Forest Vision to different regions of the world by gathering their natural disaster data to prevent wildfires globally.

Built With

  • azure
  • react
  • redux
  • material-ui
  • google-maps
  • python
  • azure-functions
  • azure-blob

forestvision's People

Contributors

amirnaghibi avatar jatin-codes avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.