The Backpackers| Sustaining Our Planet for Future Generations
Sustaining Our Planet for Future Generations
Warriors of Tomorrow - To track and communicate carbon footprint on an individual level
Summary
Humans do not intend to harm nature, whatever they end up doing is a bi-product of the intended result. To help people see the consequences on an individual and larger scale, we have come up with a prototype of an app named 'Warriors of Tomorrow'. By making people aware of their consequences, this app reduces the negligence caused by ignorance.
How We Addressed This Challenge
We have come up with a prototype of an application that helps individuals track their carbon footprint. It is important because the app reduces negligence cause by ignorance. For every action an user takes, the app tracks the consequences with the help of data set that is available with NASA regarding carbon footprint. The app is not just limited to tracking carbon footprint but monetizing it at the rates in which global carbon footprint trading happens. This helps the user sees the money he has saved for himself and the planet. By creating social networks and communities around the issue, it induces a gradual behavioral change in the long term. Hence, our tag line 'Long Live Earth, Long Live Life!'
How We Developed This Project
We are a team of people who have come together from different parts of India and the one climatic change that we all could agree in the first go was the rise in temperature. When we looked at the major ways in which humans accelerate this change was with carbon emissions, hence we picked the topic. We went with the framework of problem statement - diagnosis - research - solution - prototyping - testing - expected result. We used MarvelApp, Figma, MS Office. As we had to collaborate virtually, we felt it was comparatively difficult to convey and convince our ideas. As we got to know each other better, it became easier to leverage each one's skills.
How We Used Space Agency Data in This Project
We used the data set related to Global Carbon Footprint from NASA. We are planning to run predictive analysis using machine learning using the parameters like latitude, longitude, topography, ocean currents, anthropogenic causes (Greenhouse Gas).
Project Demo
Presentation: https://drive.google.com/drive/folders/1ipsD6BptjJB7hifxyGeYQRLOvHjyLC49?usp=sharing
Prototype: https://marvelapp.com/prototype/12j2a719
Video: https://youtu.be/Ro_KwyUuUJ8
Data & Resources
https://search.earthdata.nasa.gov/search
https://www.figma.com
https://marvelapp.com