A Flutter based AR Application
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Updated
Nov 4, 2020 - Dart
A Flutter based AR Application
AI tool to help NASA scientists validate documentation
jov.ai is an application that uses state of the art technologies like deep learning to colorize black and white jupiter images into colorful image also jovai can generate new jupiter images using StyleGAN.
Chatbot to help identify and communicate landslides risk areas.
Global Nominee | This application was made as a part of the 'NASA Space apps challenge-2020'. We came up with a simple C program that calculates the number of trees needed to balance out the carbon emitted in a region.
NASA Open Data Portal Data scrapper Project
Trash track is geospatial(map and virtual globe-based) android app that locates and displays every known debris object in Earth's orbit in real-time.
Static and Dynamic Risk map for social distance measures in Sri Lanka.
This repository was made during the NASA Space Apps Challenge 2020. The challenge was to identify and estimate local sources of carbon emissions to aid scientists in mapping carbon sources and sinks and aid policy makers by helping them make informed decisions for the future.
This project was made as a part of the 'NASA Space apps challenge-2021' where the challenge my team and I chose was 'Measuring the value of Earth Observations'.
Near Earth Object (NEO) data points retrieved from NASA's official API, stored locally to prevent hitting the API rate limit on the NASA API key. The dataset includes key orbital parameters for various NEOs.
Explanore : Explore Exoplanets
For the NASA Space Apps Challenge Hackathon
An application developed for the Nasa Space Apps. Aiming to provide a easy way to track diseases contamination, comes up DiaGo.
(Global Nominee) This code is a part of the project that my team and I had made for the 'NASA Space Apps Challenge 2020' it calculates the number of trees that are needed in a certain area to balance the carbon emissions of that region.
We, JKKNIU_Tech_Hub, are working to impower volunteers to respond to every natural disaster as quick and efficiently as possible with the help of NASA's data.
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