High-Level Project Summary
We have created a fun creative type of game, that solves the challenge directly by implementing the wanted task that was listed in the objectives, For the users to be able to download our game they should simply check out our website to do so.This game solves the challenge as next :The user chooses a character(that might e human, plant, microbes, …etc).He then chooses the environment(that might be a planet or ISS for example).The exploration start,When you start exploring around with your character that will, react and respond to the space differently other than any other specie, by having his own resistance toward certain things and vice versa, he will notice instructors appearing
Link to Final Project
Link to Project "Demo"
Detailed Project Description
The rest of the first High-level project summary:
he will notice instructors appearing on his screen, instructing him about the bad or good effects or manners that his character is exposed to, in the end, two machine learning models were trained, the first one was set to predict, for example: after setting the features to a certain character, the model would predict on its own some matters about the character or the specie, for example, his surviving rate and the list goes on…, the second one collects the best features out of characters in order to be able to create the challenge superhero that is immune to all the space effect.
So why is this important? Well we all must’ve noticed how is space very noticeable, even in the early ages when they didn't have machines to track and figure out how does it work or how the environment is there, the space was there and always stayed like a big question mark to everyone, especially common non-Astro people, which is the category of people our project is going to have an impact on, because whether we like it or not Astro-information are not available nor accessible to whoever to be able to find, so this game we created was the solution to give inspirational information delivering this brand new level of Astro-education to these people while exploring our game.
Detailed project description:
As we mentioned before, we trained two machine learning models, the first used random forest regression, and since we had more time eventually we replaced this model with a trained deep neural network for absolutely better results. The second one used linear regression with gradient descent finalized by an optimization process of maximizing, to guarantee the accuracy of the game results and predictions and also to assure the creation of the superhero, 4000 lines of data sets were generated in order to train our Ai models, so we could say that one of the advantageous features we have is the accuracy of our results. For what we hope to achieve, we actually want to be able to add virtual reality concepts in the future with 3D modeling, to enable the user to truly live the moment himself while experiencing the program functionalities on himself just like a simulation, we also want to add the training feature before heading up to space and why not add a live feature, that will lead the user directly into a live done by NASA through her astronauts' entertainment to give our users the most realistic experience ever possible.
The tools that were used: Figma for the design and the Ui/Ux of the game, Python and Pygame for the game implementation, also python for the machine learning algorithms in addition to html5 and CSS for the creation of our website, and VS-Code as a text editor.
Space Agency Data
For the data, we used both agencies' data, the US and the Canadian the ones that were offered by the challenges website specifically in our challenge window, we used the data in the game backend in order to define life conditions for species and use the NASA experiments results.
Hackathon Journey
This hackathon experience was the first one of its kind for our team, we have never been to a space challenges hackathon nonetheless a NASA one, we can't say any less of this experience, it was a very amazing event made and organized by very cool people, we really learned this time that it was never about how much do you know or how much of a skill you have, but how much you are willing to put into it to make it work, to learn something new and apply it within only two days. What inspired us to choose this challenge was the creativity and the invention we could implement behind it, we started this challenge by delivering tasks to each other so we could all work at the same time, challenges and obstacles were solved together by brain-storming. We would like to thank each other for being this passionate, we want also to thank our mentors who seriously helped us and led us to create the best results out of our efforts.
References
The references that were used are the next :
- NASA human research road map: risks
- NASA space biology program
- 5 hazards of human spaceflights
- NASA Genelab data repository search
- CSA report on deep space healthcare
- Effects of space on the human body
Tags
#artificialintelligence #machinelearning #deepneuralnetwork #biologysuperhero