High-Level Project Summary
We made a website to meet all the aspects of the challenge namely scientific, artistic and fun activities. For the scientific aspect we made raw image processing deep learning model to convert the raw images taken by Junocam into refined images. For artistic aspect we made neural style transfer model to convert the raw images into artistic images and lastly for the fun activities we planned to develop certain games for kids as well as for educational purposes. Most importantly we made sure the content can be easily understood by anyone with no prior knowledge about this domain. It is important because it is easily accessible and can be used to spark interest in the field of astronomy.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Our challenge was to provide solutions to Visualizing the Jovian System like never before. Our projects makes it easy to convert raw images from JunoCam into understandable images for scientific research or to convert them into beautiful images using the neural style transfer technique.
TECHNICAL DETAILS:
Here we used image pre-processing technique, by applying the concept of Neural Network. We also used VGG-16 & VGG-19 algorithms to produce images catering to the audience. From raw images we produced a new image that we hope will be helpful to the scientific community. Using the similar technique the tool can also be used to produce aesthetic images.
Space Agency Data
We used the JunoCam dataset available on kaggle (https://www.kaggle.com/datasets/brsdincer/jupiter-juno-mission-image-set-nasa) . We used it to get artistic as well as scientific output from the raw images after pre-processing them because they were having so many disturbances. It inspired the project because these four planets in the Jovian system are being studied separately, we are using Multiple Image Processing Technique.
Hackathon Journey
The Space Apps experience was very informative . The journey was extremely rewarding. It helped us to learn a lot of new things about team collaboration and a non-traditional way of coming to a solution. It also rose our interest into the field of Astronomy and about how things work in the space.
The fact that there is an entire different system for just these 4 planets is what rose our interest towards it.
Our approach was to keep it very user-friendly and focused for the target audience.
References
- https://javascript.plainenglish.io/beginner-drag-and-drop-game-with-html-css-and-js-58653f974285
- https://io-tokyo.co.jp/wp/wp-content/uploads/2021/10/AdobeStock_101586648-scaled.jpeg
- https://jovian-system.com/
- https://climatekids.nasa.gov/cubesat-builder-game/
- https://www.nasa.gov/multimedia/imagegallery/iotd.html
- https://www.kaggle.com/datasets/brsdincer/jupiter-juno-mission-image-set-nasa