In recent years, floods, landslides and droughts have become an annual occurrence in Sri Lanka. Despite the efforts made by the government and other entities, these natural disasters remain challenging mainly to the people who live in high risk areas. It is also crucial to predict such disasters early on to facilitate evacuation of people living in these areas. Furthermore, Sri Lankan economy largely depends on agriculture, yet this sector still remains untouched by recent advancements of AI and other predictive analytics techniques. The solution is to develop an AI based platform that generates insights from emerging data sources. It will be modular, extensible and open source. Similar to any other real world AI system, the end solution will consist of multiple data pipelines to extract data, analyze and present results through APIs. The presentation layer will be a public API that can be consumed through a portal such as Disaster Management Centre of Sri Lanka.

Speaker bio: Narmada is research engineer at ConscientAI Labs based in Sri Lanka. She is also a visiting research student at the Memorial University of Newfoundland, Canada. She is interested in research on climate change and effects of it on human lifestyle and Deep Learning for Computer Vision.