Our goal was to create a mission concept for the topological and elemental analysis of AOIs on the moon. To do so, we utilized mature systems, slight modifications to existing technologies (pXRF) and machine learning algorithms. Pre-mission scouting, sample analysis, categorization and marking can be achieved using advanced low energy beacons and slightly modified rovers/crawlers connected to a central station "mothership".

The mission concept begins with the "mothership" landing to an AOI (Area of Interest), as specified by the mission protocol. The location of the mothership is identified based on its' selenographic coordinates. Beacons are launched to the outer limits of the targeted area and help map the "working area" for our crawlers. Mapping & classification techniques give us the sub-areas of interest that our crawlers will scout. The intrinsic value of those AOIs will be calculated based on the elemental analysis and the beacons that were ejected earlier will remain at the area to act as landmarks for future missions / astronauts. After completing the mission, the crawlers will return back to the mothership and move on to the next AOI.

Our team addressed this challenge entirely within the 48 hours of this hackathon by utilizing hours of web browsing/ searching, 3D modelling with the help of TinkerCad and a lot of coffee.