Nature Inspired Algorithm Project for predicting the spread of Covid-19 virus

Kuuluvus: Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya.
Resolutsioon: Grupp | Kestus: Üle nelja tunni



Learning Outcome: 1. Demonstrate familiarity with major advanced algorithms. 2. Apply advanced design and analysis techniques. 3. Apply concepts and skills to develop information system


•To investigate and familiarize with Nature Inspired algorithms o Conduct seed and fungal germination for 2 weeks o Observe the process and analyze the factors for good growth •To develop nature inspired algorithm based on the above •To visualize the spread of the COVID-19 coronavirus based on the developed algorithm through an interactive visualization system


Problem is suitable for university level students: Postgraduate Project within 5 week. Undergraduate may be given 7-8 week to complete. Implement a visualization interface (preferably web-based) to visualize the spread of the COVID-19 coronavirus. The rate and means of growth depends on Nature Inspired Algorithm based on the observation and analysis of the germination process of seeds, molds and also the COVID-19 coronavirus.