For this challenge, we invite you to become "virtual contributors" to the Asteroid Grand Challenge and develop a hypothetical method, concept note or simple prototype that demonstrates how Machine Learning could be used to help us avoid the same fate as the dinosaurs.
We present an augmented reality app for mobile devices that assists users in confirming prospective NEOs. When the user opens the app, the list of current NEOCP objects is loaded from the NASA server. The list is prioritized based on last observation, NEO probability, and last known position relative to the user (objects which that particular user are more likely to be near are ranked higher). Future work involves ML work to improve NEO probability.
The data for the prosepective NEOs comes from the NEOCP. The app also uses geospatial information from the users device to locate the device and its orientation.
Application currently web-based, but to be developed using Xamarin and C#.
Future work: Use Azure ML Studio to improve NEO probability ranking.