Projects
This project aims to explore various machine learning approaches for detecting toxic comments. We study Naive Bayes, Decision Tree, Logistic Regression, K Nearest Neighbors, NB-LR, Convolutional Neural Networks, Long Short-Term Memory Networks, Bi-directional Long Short-Term Memory Networks on identifying toxicity in text.
Autonomous Code Review Usefulness Measurement [code]
Smart Car Assistant [video demo]
Complaint Box [code] [video_demo]
Smart Staircase [video demo]
Exploring different graph algorithms using graph database (NOSql OrientDB) [code]
Dx-Ball [code]
Online Pac-Man Game [code]
Virtual Cop 2D [code]