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Hackbright Capstone Project 2020

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sonwy102/glow

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Glow is a single-page web application built with React and Flask to log and visualize personalized skincare routines and goals.

Project Background

For many of us, skin care is an ongoing journey - our skin grows and adapts over time based on many factors around us. And they are not easy to point out when things go wrong. Was it from a moisturizer I used? Maybe the sunscreen?

Glow is a simple yet comprehensive way to track a user's skin health. The app provides tools to recognize patterns of the skin. The app is designed to allow a user to easily document goals and journal routines everyday. This data over time is aggregated and displayed to the user enabling them to make data-driven insights into why their skin is changing and what products are involved.

Tech Stack

  • Javascript -- React, D3.js, Chart.js
  • Python -- Flask, SqlAlchemy
  • Database -- PostgreSQL
  • Styling -- HTML/CSS, React-Bootstrap
  • Other Frameworks and APIs -- Cloudinary, React-Select, SkincareAPI, Google Custom Search JSON API

Feature Highlights

  • Simple journal entry page to enter skincare routines and update progress on skin goals

    GIF of routine entry

  • Dashboard to display trends in a user's skin health based on past journal entries

    GIF of dashboard

  • Visualizations to help users understand skincare ingredients

    GIF of sunburst

Quickstart

After cloning the repo in your virtualenv, install dependencies:

$ pip3 install -r requirements.txt

Then, run the Flask server to start the web app:

$ python3 server.py

Visit yourlocalhost:5000 to access the app in your local browser!

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Hackbright Capstone Project 2020

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