Nowadays, many powerful machine learning tools are introduced and are proven to be useful in many fields. However, due to the background knowledge gap between meteorology and computer science, meteorology field still heavily rely on simple models designed by meteorologists based on their experience and observation. Rainfall prediction is proved to be effective with deep learning models. In this project we are focusing on building a user-friendly interface for non-computer science specialists to use such models as well as trying to improve the performance of the current models.
In this project you will be closely working with PhD students with strong research and programming skills. You will have the chance to get hands on experience with using well-known popular machine learning (deep learning) tools on a powerful GPU server, and distributed implementation of varied machine learning and data mining tools on a powerful CPU cluster with large datasets. As this project is of both research and application values, it could help in your pursuit of a higher degree or a career in the industry.
Develop an interesting interface for the rainfall prediction system with advanced machine learning techniques.