2026-07-17T08:02:43+00:00 https://vharivinay.github.io/feed.xml https://vharivinay.github.io/favicon.png Harivinay Varadaraju https://vharivinay.github.io/linux/bash_scripting/ 2022-03-14T00:00:00+00:00

A very brief introduction on its usage

/img/linux/bg-bash.png Bash Shell Scripting https://vharivinay.github.io/simulations/flocking/ 2022-01-24T00:00:00+00:00

Exploration of flocking behavior of Boids with QuadTree Optimization.

/img/sims/flocking/bg-flocking.png Note Note: For best experience, please view this on a larger screen, i.e., desktop or a tablet. Although it is responsive, because of the interactive elements it becomes uneasy to use. Interactive Flocking Simulation Play / Pause Record FPS: Controls Optimize ShowQtree ShowPrecept Boundary Type Bound Unbound Qtree Capacity Coarse Medium Fine Boid Parameters Number of Boids 100 Align Slider 1 Cohesion Slider 1 Separation Slider 1 Perception Radius 50 Background Flocking is an emergent phenomenon where individual units (organisms), using limited environmental awareness and simple rules, organize themselves into an ordered motion. Flocking is seen in foraging birds, fish and even in humans. In this simulation, flocking is achieved by using artificial creatures called Boids. Boids Boids are synthetic vehicles that have some basic predefined perception. Boids were created by Craig Reynolds in 1986. There are many resources online talking in detail about boids including wikipedia. So, I wont going into much depth here. https://vharivinay.github.io/generative/flowfiled/ 2021-10-12T00:00:00+00:00

Generating flow fields with Perlin noise.

/img/gen/flowfield/bg-flowfield.png Note Note: For best experience, please view this on a larger screen, i.e., desktop or a tablet. Although it is responsive, because of the interactive elements it becomes uneasy to use. Generating Flow Fields with Perlin Noise https://vharivinay.github.io/generative/mandelbrot/ 2021-08-02T00:00:00+00:00

Interactive Mandelbrot Explorer with GLSL shaders.

/img/gen/mandelbrot/bg-mandelbrot.png Note Note: For best experience, please view this on a larger screen, i.e., desktop or a tablet. Although it is responsive, because of the interactive elements it becomes uneasy to use. Mandelbrot Explorer Play / Pause Save Frame Record Reset FPS: Controls Pan Controls. W A S D Zoom Controls. K L Overview This is an interactive mandelbrot fractal explorer built using GLSL shaders and P5.JS. Fractals have always intrigued me and I have made a Mandelbrot set before at different levels and zooms. But this is the first one that is both interactive and web based. https://vharivinay.github.io/generative/julia_set_glsl/ 2021-07-19T00:00:00+00:00

Julia set, the dusts of mandelbrot, rendered with GLSL shaders.

/img/gen/julia_glsl/julia_set.png Julia set with GLSL shaders and P5JS https://vharivinay.github.io/simulations/topotp/ 2021-05-28T00:00:00+00:00

Post-processing of 2D topology optimized designs and extraction of smooth and crisp geometry

/img/sims/thesis/bg-thesis.png Overview https://vharivinay.github.io/ml/Linear%20Regression%20Project/ 2021-01-07T00:00:00+00:00

Data analysis and regression learning to assist a fictional E-commerce company to decide future focus points for improvement.

/img/ml/lm/output_18_1.png This project deals with a fictional E-commerce clothing company that has online stores and they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. https://vharivinay.github.io/ml/911%20Calls%20Data%20Capstone%20Project/ 2020-12-18T00:00:00+00:00

Exploratory data analysis in python with pandas, matplotlib and seaborn

/img/ml/911/output_64_1.png The goal of this project is to do Exploratory Data Analysis on 911 call data from Kaggle’s ‘Emergency - 911 Calls Montgomery County, PA’ data set. The data contains the following fields: https://vharivinay.github.io/ml/Finance%20Data%20Project/ 2020-12-11T00:00:00+00:00

Exploratory data analysis of timeseries stock data in python with pandas, matplotlib, seaborn and interactive plots with plotly

/img/ml/financial/output_26_1.png Exploring Finance Data