DogMatcher

A interactive system that helps user find the most suitable dog breed based on user’s life habits

Team member: Zijie Wu, Guirong Liu, Shangyu Zhang, Anyan Xie

Links:

• Presentation

Design

This project involves 2 parts: Alexa skill and a backend.

The Alexa Skill will parse users' utterances, then trigger correct intent, which will then handled by backend, generating proper response.

Project Flowchart

How to use

This project involves 2 parts: Alexa Skill and a backend

Backend Setups

Install Dependency

# install virtualenv to easily manage python versions
pip install virtualenv 

# Create your own ENV like
virtualenv ENV

# Source your ENV
source ENV\bin\activate

# Install packages by typing
pip install -r requirements.txt

Run

To run backend:

1. Enable the correct python virtual env
2. python backend/src/main.py

A flask server will run on port 5555.

Alexa Skill setup

Screenshots:

1. Create an Alexa Skill and copy alexa_skill.json into the JSON editor.
2. Set the endpoint to the Flask server.
3. Build and run skill.