Bhat, S.Ragha Sai, V.Mundody, S.Guddeti, R.M.R.2026-02-062024Conference of Open Innovation Association, FRUCT, 2024, Vol., , p. 170-17823057254https://doi.org/10.23919/fruct61870.2024.10516420https://idr.nitk.ac.in/handle/123456789/29063The Susceptible, Infected, and Recovered (SIR) model predicts the number of living beings in a population who are infected and recovering from a disease. This article addresses the critical challenge of modelling and simulating the spread of contagious diseases in a population. Drawing inspiration from global events like the COVID-19 pandemic, our proposed simulation aims to comprehensively understand the epidemic dynamics and thus enhances the public awareness for effective decision-making. The proposed simulation integrates the computational models and simulation techniques, including the logistic functions, agent-based models, SIR models, and network-based spread models. © 2024 FRUCT.Agent-Based ModelingComputational ModelingCOVID-19epidemic modellingEpidemic SimulationIntervention StrategiesPublic AwarenessSIR ModelVisualization Tool