Projects & Blogs
COVID-19 was simulated using the SIR model with population travel dynamics. Impacts of social distancing and popular
places on disease spread were also analyzed. How disease spread over multiple cities was also simulated.
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In this project, I used Genetic Algorithm to solve the famous traveling Salesman Problem. Complete Genetic Algorithm was coded from
scratch and no external GA library was used. Various forms of fitness value upgrades, selection, mutation, and crossover (including Partially Mapped Crossover and Ordered Crossover)
were used. Time and space complexity analysis were also performed.
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In this project, I created an app using R Shiny to find the safest path between a source and destination which has the least number of accidents.
User can decide between the shortest or safest path and assign weights to safety and length while finding the optimal path.
In this article, I used python to find the optimal path between a source and destination using Dijkstra's algorithm
and then plot it on a map using OpenStreetMap and Plotly.
In this article, I have created plots for each time period and stitched them together as an animation