TREE_BORN

TREE_BORN

Inspiration

Climate change is one of the major problems that can have the worst impacts on mankind and at the same time is one of the problems towards which we are the most ignorant, which makes it a top-level threat. Increasing carbon content in the environment is one of the biggest contributing factors to this.

What it does

This is where our team EnviroGeeks’ Android Mobile Application Tree Born comes into play. Well, along with the user-friendly UI, our application helps make the users aware of the health of their environment by showing them the tree index which is essentially the number of trees in their city per person in the city. The tree count is calculated using our machine learning model which runs on the satellite view imagery of the location.

Also, the users can get to know about their carbon footprint in the Stats section where all their used modes of transports are displayed, all their monitored actions using the google fit API, and also the total carbon dioxide produced by them.

The info button is where they can educate themselves about the terms.

The “How can I reduce ” button tells them the way they can balance out their carbon content to help improve the environment. This is where Zurich Insurance can help the users getting the trees planted by them insured so that their contribution doesn’t go in vain.

How we built it

Using Android Studio with java Language with the help of google and acqi API's.

Challenges we ran into

Integrating dependencies and API's from valid known sources and recognizing the correct and authentic one was one of the biggest challenge for us.

Accomplishments that we're proud of

Successfully integrating the API's and the beautiful fluid UI to implement our desired user-friendly solution.

What we learned

Out of the box thinking with great teamwork was one of the best learning experiences.

What's next for TREE_BORN

Expanding our user base to the International level to bring more population into our Eco-Friendly community with better UI and backend features.

This is our small attempt towards the betterment of the environment.

With all of this said, This is EnviroGeeks signing out.

Built With

Submitted to

HackZurich 2020

Created by

I worked and devised upon the image processing model which analyses the inputs from satellites(Google Maps).

Yatharth Ahuja
The basic idea of implementing the project through an android application for recording users activity was mine. The backend ,database and API integration was my job.

Krishnam Dhawan
I worked on the ML part and the basis of the idea behind the algorithm used for the project.

Kshitij Sinha
I worked on front-end UI and some parts of the backend of the android application project

Milind Kaushal