INSI (Front End Capstone)
Technologies Used: JavaScript, AngularJS, Bootstrap, Firebase, NutritionIX API

Current Iteration AngularJS web app to Calculate insulin-to-carbohydrate conversions from carbohydrate data from the NutritionIX API, with the user JSON objects in the Firebase Web API. Styling with Bootstrap and CSS.

My nephew was diganosed with Type 2 diabetes while I was attending NSS. I would have to google (and log) the carbs in every given food I fed him, manually calcualte those carbs with the amount he ate, and with his current carbohydrate-to-insulin conversion. This became a time consuming task and quite difficult to manage (especially at the Zoo with him and his younger brother). I started thinking, "there has to be a better way". INSI was born.

Version 2 of INSI will include:
- a more specific user food search and selection,
- promts for the user to check and log their suger before they calculate their food and 2 hours following,
- multiple food calucation at one givin time, all food searches, results, and sugar logs will be compiled into a graph to send via PDF to a patients doctor,
- conversion of firebase storage to NodeJS backend with a PostgreSQL database.

Pocket Sommelier Technologies Used: Server-Side Capstone Project Using NodeJS, Express, and Postgres, for back-end and AngularJS and Bootsrtap v3 for front-end.

The goal of this app is to be the users guide to quick and accurate wine and cheese pairings. I am new into the world of wine and when I go into Kroger to buy a bottle I have no idea what to get. I know what cheese I like..and that is about it! I find food pairings very interesting so I decided to make an app to help me find the perfect wine, quickly, during my grocery trip!

Version 2 of PocketSommelier will include: New Wine(s) and Cheese(s) creating a more extensive pairing list, Tips and Tricks, Fun Quizes, Chocolate Pairings, Search Wine and Cheese by Type, and more!

Local HoneyBee Project! Technologies Used: Personal Project inspired by Nodevember, this application uses the following technolies: React, ReactVR (ReactNative), Docker-Go LINUX!, GraphQL, NodeJS, ExpressJS, PostgreSQL, and Bootstrap4.

The goal of this app is to be the users guide to local honey. This project is dedicated to supporting local honey farmers in Tennessee. Information includes: farm location, where to purchase, types of honey (what plants are pollinated in the area by the bees example: orange blossoms) with facts and information on how you can help "save the bees". The app will also includ a 3D ReactVR mini-game allowing the user to "Be a Bee"; goal of the game: polinate all of the flowers shown in a given time frame.