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hoist-the-colors

Problem Statement 4 - #risk-scoring

Table of contents

General info

Non-profits need a way to vet the standing of people, specifically for pets, as they want to be sure they are going to a nice home. Given a social media profile (and potentially their network) that someone has granted access to, analyze the content of their posts to create a risk score to understand if there are any red flags for pet adoption.

Technologies

Project is created with:

  • Python version: 3.6.9
  • Django version: 3.0.3
  • tweepy version: 3.8.0
  • pymongo version: 3.10.1
  • cryptography version: 3.0
  • djongo version: 1.3.3
  • djangorestframework version: 3.11.0
  • django-cors-headers version: 3.4.0
  • nltk version: 3.5
  • scikit-learn version: 0.23.2
  • keras version: 2.4.3
  • tensorflow version: 2.2.0

Installation

Clone

Clone this repo to your local machine using https://github.com/2020-opportunityhack-voln-internship/hoist-the-colors.git

Setup

The dependencies for this project are present in environment.yml

  • To create an environment, execute 
    conda env create -f config/environment.yml
  • When dependencies are added to environment.yml execute 
    conda deactivate
conda env update -f config/environment.yml --prune
conda activate <env_name>
  • To remove an environment shell script conda remove --name <env_name> --all

Add a credentials.json file with your Twitter and Facebook credentials

{
  "twitter_consumer_key": "YOUR_TWITTER_CONSUMER_KEY",
  "twitter_consumer_secret": "YOUR_TWITTER_CONSUMER_SECRET",
  "facebook_client_id": "YOUR_FACEBOOK_CLIENT_ID",
  "facebook_client_secret": "YOUR_FACEBOOK_CLIENT_SECRET"
}

Once you have configured your installation, run the following command to install the single database table that stores session data

python manage.py migrate

Run the application by navigating to the Django Project and starting the server

cd Risk_Analysis
python manage.py runserver

Go to link https://localhost:8000/authentication to authenticate users