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analyze-this

Created a full-stack web application that parses strings for signs of mental illness. Results help provide support to the user. At the moment it detects signs of suicide, anger, and addiction. To analyze strings, I developed an algorithm that works with a large pool of words to find determinants of mental illness. Determinant words must be in a certain order to be flagged. Analysis results and Google Maps/Places API are used to find the nearest support facilities (rehab, support groups, etc.) and resources. The client was created with TypeScript React.js, the REST API with Python (Django), and data is stored in and queried from a Firestore (NoSQL) database. Deployed using Heroku.

blog-posts-api

card-deck-fluent-api

do-or-do-not

Created a social task-managing full-stack web application. Allows you to create, share, edit (drawing and image importing features included), and complete tasks with users on your friends list. Includes user authentication, a friends list (received and sent friend requests), and friend alerts (ex. notifying a user when a friend has completed a shared task). The client was created with React.js, the REST API with Python (Django), and data is stored in and queried from a PostgreSQL (SQL) database. Deployed using Heroku.

irs-website-document-scraper

jbrown9124

love-and-pain-experiment

Created a full-stack web application to process data for an experimental questionnaire. The client was created with React.js, the REST API with Python (Flask), and questions, possible answers, and user input are stored in and queried from a MySQL (SQL) database. Upon completion, a chart is displayed which is meant to prove a psychological theory. Deployed using Heroku.

messenger-fullstack

personal-website

Created a personal website using React.js as the front-end library. Deployed using Firebase.

shopping-cart-backend-frontend-challenge

student-profile-frontend

tic-tac-toe-royale

Created a full-stack online Tic-Tac-Toe web game with a twist. Acquire and use powers to dominate your enemies. Set the board size, board color, “win by” condition (amount of pieces in a row required to win), and pieces (upload custom piece capability included). Capable of having up to 100 players in a single game. Full bot functionality (add up to 10 AI per board). The client was created with TypeScript React.js, the REST API with Python (Django), data is stored in and queried from a PostgreSQL (SQL) database, and real-time client updates are handled with Socket.IO. Deployed using Heroku.