Full-stack web app that allows a user to research dietary supplements and create a personalized nutrition regimen.
Back-end: Python, Flask, PostgreSQL, SQLAlchemy
Front-end: Javascript, jQuery, AJAX, Bootstrap
Data/APIs: National Institutes of Health
Interactive search page that filters based on product name, type, brand name, dosage size
Supplement info modal with supplement details and run-out calculator
User dashboard with regimen, streak counter, log lookup, and suggested supplements
These instructions will get you a copy of the project up and running on your local machine.
A step by step series of examples that tell you how to get the development environment running
Create a virtual env in same directory
$ virtualenv env
Activate virtual env
$ source env/bin/activate
Install requirements
$ pip3 install -r requirements.txt
Create database
$ psql supplements
Read dumped SQL file into database
$ psql supplements < supplements.sql
Use the program by running server.py and navingating to localhost port on your browser
$ python3 server.py
Testing
Improved Suggestion Engine
Amazon Add to Cart Form