Present Finder is a fullstack web application that helps users find presents for events based on their contacts' interests. When the user enters a contact's events and interests, a list of suggested presents will be generated. The user can bookmark presents, get notifications for upcoming events, see past presents they have given someone, and more!

• Notifications for upcoming events
• Data visualization for user's events in a year
• Track contacts and their events
• Search Amazon for products
• Find presents for contacts based on interests
• Track current, past and bookmarked presents
• See similar products on product detail page

This is the user's homepage with a bar graph created in Chart.js. It also lists the user's contacts and events for the current month.

A user can enter events and interests for a contact. This page will also show you the past presents you have given that person.

The events details page will show you the selected, past and bookmarked presents for a particular event. The suggest presents are based on the interests entered on the contact details page.

A user can click into a product to see details and similar products to the selected product.

Present Finder is created with the following:

Python, PostgreSQL, SQLAlchemy, Flask, Jinja, Javascript, JQuery, Ajax, Boostrap, Chart.js, Amazon Product Advertising API, Twilio API

You will need:

• Amazon Product Advertising account
• AWS account
• Twilio account

Create and launch a virtual environment

$ virtualenv env
$ source env/bin/activate

Install requirements

$ pip install -r requirements.txt

Input your Amazon keys in a file called secrets.sh

export AMAZON_ACCESS_KEY="Your Amazon access key here"
export AMAZON_SECRET_KEY="Your Amazon secret key here"
export AMAZON_ASSOC_TAG="Your Amazon associate tag"
export FLASK_SECRET_KEY="Your flask key here"
export ACCOUNT_SID="Your Twilio account sid here"
export AUTH_TOKEN="Your Twilio auth token here"
export TWILIO_NUM="Your Twilio number here"

Source your file into the environment

$ source secrets.sh

Create and seed the database

$ createdb presents
$ python seed.py

Launch server

$ python server.py

Navigate to server address.

localhost:5000