This project was developed by a diverse team of coders, ML enthusiasts, story-tellers and UI/UX developers as a part of submission for the NASA's SpaceApp Challenge 2020 Hackathon

Project L.L.O.C.U.S.T identifies and predicts the probability of locust invasion as well as forecast locust’s movements in vulnerable areas. Using a machine learning model trained on satellite data of wind, humidity, surface temperatures, and vegetation index, -- all of which are factors that promote locust population – we attune L.L.O.C.U.S.T. to create a heat map of areas that are most at risk of locust infestation. Through the use of an interactive, user-friendly website, farmers, city-officials, and businesses alike are able to view our models predictions in the form of an interactive map.

Find the demo here

Find the video here

Locust logo (pentagon shape) is from Dan Vallentyne