Portfolio

This application lets the user build thier own deck for the Yugioh Trading Card game. It works with a pubic yugioh API with to make API calls which retrieve information on over 13,000 cards. This application gets images of cards from AWS S3, which was used to host over 26,000 images of yugioh cards. The user can search through every card, using extensive filters, to build their own main deck, extra deck and side deck.

This application uses K-means Clustering, which is a type of machine learning algorithm, to recommend books for the user based on their previous reading history. The user signs up with their name and email address, which saves their information in a mongoDB database. Upon sign up, the user is asked to fill out a survey about their favorite books, which is used to fuel the machine learning algorithm which suggests which books the user should read next. The user is able to customize their profile with various themes as well as profile pictures.

This is an application made with Python, Django, and React.js that acts as a collaborative music playing system. Through integration with Spotify API, the user can connect the application to their Spotify account to control the music which is playing. The host user can create a room, which others using the application can join by entering the room code. Features include pausing or unpausing the music currently being played, as well as voting to skip the current song being played.

This application is a college campus managment system. The user can add colleges as well as students, which are all stored in a Postgres database and displayed for the user to see. Then the user is free to edit any information about the students or colleges, such as their profile picture, the school's address, or the student's GPA and email address. The user is also free to delete any entry in the database they want.