My Projects

License Plate Recognition

Date: April 2019

Computer Vision | Python, OpenCV, PyTorch, Machine learning

Gathered images and cataloged them for training and recognition of characters by using a pre-trained machine learning model
Utilized grayscale, inverting, bilateral filtering, histogram equalizing and adaptive thresholding to pre-process images for filtering
Structured the system to look for characters through the use of contours and bounding boxes to conduct Optical Character Recognition (OCR) using Convolution Recurrent Neural Network(CRNN)

Flip-Flop

Date: December 2018

Mobile Application Development | Java, Android, Firebase, SQLite DB

Designed and implemented the application using Android Studio IDE as a part of the team
Implemented user login, logout, and registration for allowing users to post and communicate
Utilized Firebase to host real-time data, and SQLite to host personal data
Geo-encoded user posts for location display

My-NHL-Team

Date: April 2018

Web Application Development | Javascript, jQuery, HTML, CSS, PUG, JSON

Utilized an NHL API to get data of NHL teams in 2018
Integrated session tracking and user login, logout and registration for NHL team selection
Increased user interactivity through the use of D3.js, DOM element and jQuery to display tables and scatter plots of teams
Designed a MongoDB database to store and retrieve the parsed data from the NHL API

Languages