Keeping things interesting

Fantasy App for Indian Premier League. Still a work in progress.

Testing OpenLayers to see how it works with ArcGIS and handles huge amount of points to see if it is suitable for a large scale application

A project to generate predictions for Penn State Food Services to help them predict the incoming number of customers in certain locations.

Just a fun project to create a virtualized list using react-window with some sorting and filtering abilities.

Integrating OpenLayers with Vue. Created a basic navbar using Vue on OpenStreetMap as the base layer.

Implementation of Jaya, Particle Swarm Optimization and Teaching Learning Based Optimization on a mechanical engineering problem where we need to optimize surface roughness.

Training a model on a very limited dataset to classify data obtained from Reddit posts into different topics and testing it on a large dataset.

Training my ResNet model that I built for CIFAR-100 on kaokore dataset. Achieved 88% status classification testing accuracy.

Comparing MCMC vs SMC performance on different problems

A course information management system prototype

Using Keras CNN with K-means clustering and converting the distance from centroids to probabilities to classify gene data into species. Still a work in progress.

Classification into different product groups using a dataset obtained from CMPSC 448 with XGBoost

Implementing a ResNet model on the cifar dataset from PyTorch using Google Colaboaratory

Homework 2 for Stat 380 with Drew Wham

Basic implementation of Flask and React with MySQL.

Exploring features that help identify if a video is clickbait or not.