Jennifer Powell's Projects
:department_store: A CLI storefront app that uses a MySQL database to store product information that customers can purchase, and allows managers to restock inventory.
:books: Full-stack MERN application that queries the Google books API and retrieves book info and lets users to save books to their collection:
💻 Coding Challenge for Cloudflare
🎐☀️Ensemble Energy's platform gets large volumes of live data from turbines from multiple windfarms which needs to be displayed in user friendly format for analysis by field technicians. Your goal is to primarly use React along with any other open-source or free library as you see fit to build a single page dashboard/analytics application.
✅ An app made for our full-stack bootcamp, users can log in and start planning their events with an easy-to-use interface for organizing and keeping track of to-do's and event info: https://limitless-fortress-24134.herokuapp.com/
Front End for FoodDrop
Python Flask Angular application to scrape jobs from monster
:wolf: A click based memory game built with React! Try to click all the images of Jon Snow without clicking any image twice:
Check out my portfolio of projects at http://jennifer-powell.com
:musical_score: :clapper: :headphones: A command line Node.js app that make calls to the Bands in Town, Spotify and OMDB APIs to give you details for songs, movies and concerts
:bus: Application which uses 511.org Public Bay Area Transit API and Google Maps API to display a bus' expected arrival time based on the user's Bus Line.
:pizza: This is a full stack website using Node.js, Express, Express HandleBars & MySQL database.
Full stack application using Python, Flask, Angular, TypeScript
My react portfolio page showcasing some of my skills and projects.
💻Coding Challenge for Shrimpy
🦋 Take home assignment for Skylight.
A full stalk application.
🏃👟Stryd uses revolutionary sensing technologies to measure a runner’s movement through 3D space and track the environmental conditions of the run. This is an application which analyzes and displays key stats about one of a users' runs.