Three13

https://www.youtube.com/watch?v=rTIMK8s7NX0

https://github.com/mamuncseru/313

What it does:

EYE06 connects random curious customers to the NASA's rich dataset. It allows anyone using the app to experience real-time space trash monitoring. It has great eye catching and user-friendly UI which helps anyone, in fact a 5th grade child can also use it. It brings space objects visualization in an easy method, as if we're finding Uber in the city. Starting from showing the debris information, real-time debris plotting to their necessary path monitoring feature and in the next 30, 40, 50 days when it will be.

App architecture and overview:

we are fetching all the debris TLE dataset from celestrak using a python library called "skyfield" which runs above sgp4 library and calculating latitude, longitude, altitude along with other crucial information of debris and storing them in a JSON format. After that, we are using a REST API and deploying them on Heroku web server so that we can get real-time data anytime we want. We used the Unity3D engine to fetch those JSON data in real-time and visualize them by using coordinate mapper.

Now, We can see real-time debris moving around the earth and by clicking individual debris we get there additional information such as latitude, longitude, elevation, name, no of total debris and much more. Our unique feature will allow users to predict the future path of the debris in a very convenient way as well. Interactivity and usability is our selling point.

Our vision and Future plans:

Imagine a 5th grade child opening our app and seeing how our The beautiful Earth is surrounded by millions of trash. Then asking his mother, how do we save our world? Here’s how the seed of curiosity is roped. It’ll be our ultimate success. We’ve seen school children in Bangladesh be curious about space and what's going on around our beloved earth. But the lack of visual tools makes it really tough to imagine further. Eye06 has the vision to push their curiosity to one step further through our app. We want them to feel curious, ask questions and increase their knowledge seeking thrust while seeing the way our earth is surrounded by the debris.

Besides, we plan to engage with the Bangladesh space agency for the polishing and R&D of our app, and we have the vision that ours will not only be the bible for the space loving children but also the space agencies.

We seek R&D support:

From a prototype to reaching millions of curious people around the world, firstly we’ll launch the product as a beta version and collect user response. It’ll give us a rough idea about how and what people like to see in our app.

We’ve a plan to include AR facilities, and it’ll make our product more interactive to people. Then we’ll move to local and foreign space agencies to push our product and support us. Specially for our R&D we’re seeking huge support from the authority 

Scalability and Feasibility:

Currently, our app is in the prototype phase, and we have a scalable algorithm and a brilliant team, so we're confident that it has the potential to scale for a larger audience. It's not something that is theoretical, but it is feasible also. We are planning to apply for seed funding for our project as we need both technical and marketing support. In next 2 years, our primary goal would be to mature our product as much as we can and add some special facilities to attract the users

2 way benifits:

Firstly it'll benefit the general people as they'll have the opportunity to explore the debri movement and increse their curiosity to infinate level. Definitely people will be aware of whats going on out there.

Secondly, Space agencies will get a visualisation tool with path prediction and movement detection facility to schedule their rocket launcing program.

thats why we want our product to have millions of users for the general people and with proper R&D support we can make this a must need product for the space agencies as well.

Space agency data used in this project:

Addressing the challenge, we had a really tough time choosing what kind of data we need. We've figured out all we need, an earth globe and space gallery for visualization. And the most important is to portray the debris into that visual graphics so that it looks natural and eye catching.

Data from "Celestrak" helped us for this. We've collected all possible dataset from it and in our R&D period we've modified them, filtered them according to our need.

Inspiration of using Celestrak data:

celestrack is the best place to find space related data including TLE data, which we needed. It has been serving dataset with pinpoint accuracy since 1986. That's gave us the confidence, and we had the trust over celestrak for the debris data. Other than that, we're confident about fetching their data using python and turn that into JSON format.

How we used:

First, we obtained TLE data of various debris from Celestrak. We used this data in Skyfield, a Python library that computes positions for the stars, planets, and satellites in orbit around the Earth. Skyfield is built on top of sgp4, however it is much easier to use. Using Skyfield, we obtained latitude, longitude and elevation of the debris, which are needed to visualize the data in the frontend. We implemented a REST API that would send this data to the front-end application whenever requested.

Our motivation:

Everyone has their own stories, let us share ours. After watching a movie named "gravity", my little sister got to know about space objects and wanted to learn more. She approached me and started asking random questions like how they are created? Are they stuck in one place? Where are they going? Where will they be in the next 100 days? Etc. Every time I had to google it, I had a hard time explaining and speaking in a way that a child could understand. Here we found our motivation to make something that will make sure everyone including the little children understands the debris movement visually. 

Our approach to develop Eye06:

We read the Challenge description and had multiple meeting with our teammates regarding how can we make sure we're using NASA's dataset uniquely. We had to check the existing product related to space object visualization so that we can find our uniqueness. Then we developed a primary idea and had meetings with our mentor. Finally, we've come up with "Eye06". We must say our R&D took a long time than others. Because of huge dataset and many resources, we had to pick the right one and sync with our project

After that we've distributed our tasks in some categories which includes algorithm design, mockup creation, data fetching and API endpoint declaration, unity 3D model management, project documentation and video making. Now it comes to implementation, As we all from university of Rajshahi we had a great bonding between us and everyone contributed according to their skill set.

There's a story we'd like to share about our project uniqueness. Honestly we couldn't figure out what to add so that we can beat our competitors. Then we came up with future path prediction feature and AR inclusion. It will take another 6 months to implement the AR capabilities, but we have the future path prediction running.

After completion, everyone of Eye06 wanted this product to run in market rather than sit there on GitHub. It boosted our moral and started making our business and go to market plans and looking for funding as well.

What did we learn:

" We learned to work together" - that'll be the one line summary of this whole hackathon. We're from different background such as Native iOS, Web development, game development but when it comes to solve a problem and find a solution together, we really supported each other till the submission date. During the project making period we've faced some new challenges for the first time, and we were confused a bit but gradually solved them all.

DATA AND RESOURCES

• NASA debris TLE datasets https://celestrak.com/NORAD/elements/
• MICROSAT-R DEB https://celestrak.com/NORAD/elements/2019-006.txt
• FENGYUN 1C DEB https://celestrak.com/NORAD/elements/1999-025.txt
• IRIDIUM 33 DEB https://celestrak.com/NORAD/elements/iridium-33-debris.txt
• COSMOS 2251 DEB https://celestrak.com/NORAD/elements/cosmos-2251-debris.txt

Tools:

• Skyfield API https://rhodesmill.org/skyfield/
• Django https://www.djangoproject.com/
• Heroku https://www.heroku.com/
• Unity3D Engine https://unity.com/
• Figma https://www.figma.com/
• Python https://www.python.org/
• sgp4 https://pypi.org/project/sgp4/
• Coordinate Mapper https://github.com/SmallPlanet/Unity_Coordinate_Mapping
• Simple JSON https://github.com/HenrikPoulsen/SimpleJSON

#AI/ML, #SpaceTravel, #Software, #Debris, #SpaceTrash, #App

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