Using web-scraping, I proposed the use of artificial intelligence (AI) and data to better evaluate the readiness and risk of both Singapore and beyond. A better evaluation would enhance policy-making, decision-making, and anticipate outbreaks. Natural language processing, more specifically sentiment analysis, can help to process data obtained through scraping, while the use of reinforcement learning can potentially allow for data-fusion. This idea was chosen as the top 10 proposal nationwide in the ideation challenge organised by AI-Singapore. The simple news-scraping .ipynb file can be found in my GitHub repo.

Problem and current solution

Image above: Summary of problem statement and gaps.

Proposed solution

Image above: Proposed solution and benefits.