The main goal of the challenge is create an habitable exoplanet, so we established an environment where a user can generate habitable exoplanetary . This is accomplished by leveraging data sourced from NASA and subsequently visualizing these constructs through the integration of artificial intelligence (AI). This innovative approach enables users to gain insight into the potential appearance of their designed exoplanets.

To commence our project, we initiated by reviewing the catalog of exoplanets with potential habitability. Subsequently, we employed the available data to constrain the variables incorporated within our website, with the purpose of facilitating the creation of plausibly habitable exoplanetary models.

Our approach involved the development of the frontend using the React framework, the backend was constructed utilizing Java, and an API in Python was utilized for the integration of artificial intelligence to generate the images of the newly generated planets.

We employed ChatGPT to articulate speculative descriptions regarding potential life on this planet whereas Bing AI was utilized to generate the visual imagery . In addition, Gymcraft was harnessed to procure the intricate surface textures for the 3D representation of the planetary entity

The user will possess the capability to manipulate the following attributes: water content, radius, mass, density, geological nature, surface characteristics, orbital period, and temperature parameters.

Upon the completion of user-driven configurations, the generated planet will feature a three-dimensional (3D) model, accompanied by descriptive text outlining the hypothetical conditions for life on the generated planet with images of the planet

Upon the successful generation of the planet, the user will have the opportunity to conduct a comparative analysis of the data associated with the earth. Subsequently, a new screen will be presented, enabling the user to meticulously scrutinize and analyze the provided information.

Softwares used to developed the project

React

Java

Pyhton

Canva

Bing IA-Dall-e

Chatgpt

Gymcraft

Space Agency Data

We leveraged the NASA exoplanet database to restrict the dataset that users can manipulate in order to facilitate the creation of a hypothetical habitable world.

https://exoplanets.nasa.gov/discovery/exoplanet-catalog/

References

We conducted a comprehensive search for a catalog of potential habitable planets to serve as a point of reference. Additionally, we identified and employed an application programming interface (API) for the utilization of artificial intelligence (AI) to procure the images corresponding to these planets.

https://pt.wikipedia.org/wiki/Lista_de_exoplanetas_potencialmente_habit%C3%A1veis

https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&config=PSCompPars

https://github.com/acheong08/BingImageCreator/tree/main

2023 NASA Space Apps Challenge

MoonMonkeys