Awards & Nominations

Purple Jaguar 2.0 has received the following awards and nominations. Way to go!

Global Nominee

SunBox

High-Level Project Summary

One of the major (if not the major) problem of the 21st century is the environmental protection. Energy generation is one of the most polluting actions we have, but it’s also necessary for modern life. In that sense, renewables such as solar power are key, but we have seen a lack of accessible information about it.For this reason we made a web and mobile app that aims to organize and select information from the data available worldwide from NASA POWER, and present it to the homeowner user in a simple and intuitive way. SunBox allows its users to lookup relevant solar power data from any given location, in varying timespans, and save these locations for later searches.

Link to Project "Demo"

Detailed Project Description

What to expect?


SunBox is a Flutter mobile application designed to show solar power related data in an intuitive and easy to use way. Once downloaded in Android , users will be able to search a specific location in the map and get all relevant information -extracted from the huge amount of data powered by NasaPower data - and presented by friendly and easy to understand charts. Also, it is possible to choose the temporal average sorted by hourly, daily, weekly and monthly graphs in a period of time specified by the user ( 1 day, 1 week, 1 month, 6 months, 1 year and 10 years).


The app also provides the possibility to save the locations defined and labeled by the user for later searches. Besides that, the user can input some information about his own energy generator device to achieve information about sustainability. Based on this information, in the future the app will predict the productivity of the user generation devices based on predict solar conditions of the saved locations.


A forum is also planed to be implemented as a new feature to the App to create an interaction between users who already have solar power generation at home and those who are interested to start using this clear energy resource so they can share information and ideas.


More than expected


By knowing where the sun light is more intense, our application will be able to control solar panels mobile devices (e.g. drones and autonomous vehicles) and track the sun to optimize their use by relocating them. Using A.I and IOT we will be able to upscale the clean energy generation and save in resources and infrastructure of regular static solar farms. 


Changing the world


We hope that our project may help solar panel owners and people interested in the clean energy to have a better understanding of the data, helping them to make better decisions.



Tools / Coding Languages/ Software Used:




  • Flutter & Dart - used to the code the app
  • Figma - used to the design
  • Google presentation- used to the presentation
  • Vegas pro - used to edit the video


Presentation


Press here to presentation


Download the app


Press here to apk

Space Agency Data

We used NASA POWER climatology data, in hourly, daily and monthly formats. Based on these data we were able to build our application.

Hackathon Journey

It was a good experience, we managed to overcome our problems and did our best. We learned a lot about dealing with unforeseen events and working as a team. We chose this challenge because we wanted to make an app and also because the theme of renewable energies caught our attention. We developed our ideas from the instructions given by the challenge. We created an app with the aim of informing and helping people about solar energy. We managed to solve our problems and unforeseen issues with a lot of organization and help from mentors. Yes! we would like to thank Flavia, because she helped us a lot to find solutions to our problems.




References

  • NASA POWER
  • Flutter
  • Dart
  • Android Studio
  • Figma

Tags

#sun #solar #power #clearenergy #nasaspaceapps #purplejaguar #escolaort

Global Judging

This project has been submitted for consideration during the Judging process.