Datathon'20 - Runner up

  | #Machine Learning#Temporal Modeling

Description

Our participation in the All-Island Data Science and Machine Learning Competition was a journey of data exploration, innovation, and societal impact. In this thrilling competition, we embarked on a comprehensive data analysis quest that led to a groundbreaking solution. Our final challenge was to design a system for detecting Covid-19 spread and conducting a thorough analysis of its impact. We took a multifaceted approach, crafting an LSTM-based multivariate time series model for precise Covid-19 spread predictions at the district level. To provide valuable insights, we harnessed meta-heuristic analysis techniques to evaluate the potential impact of Covid-19 on various selected industries.

Key Achievements

  • We created a ETL pipeline to web-scrape and retrieve covid-19 statistics to feed into our models
  • We successfully developed a sophisticated LSTM-based multivariate time series analysis model, showcasing our prowess in this cutting-edge technology.
  • Our Covid-19 spread detection and impact analysis system aimed at making a positive difference in society, emphasizing the importance of data-driven decision-making.