REDDIT FLAIR

An application which allows users to predict the flair of Reddit India posts by simply entering the link of the post.
Website link: http://webredditflair.herokuapp.com/

Directory Structure

data

• data.csv - The flaired posts collected from reddit. The posts are from date 16 July 2018 to 16 July 2019.

scripts

• data_extraction.py - To scrape the Reddit website and add the data extracted to 'data.csv'
• model.py - It implements Stochastic Gradient Descent algortihm on 'data.csv' to make 'model.pkl' file. The accuracy of the model is 56.023%

website

• static
  • css
    • style.css - Cascading Style Sheet to make 'layout.html' look better
  • img
    • background.png - Background of website
    • loading1.gif - Loading gif used in website
  • cpp.png - A line chart of Number of Comments per post for each flair
  • dan.html - To display the data analysis of the reddit posts
  • nocs.png - A bar graph of Number of Comments for each flair
  • nops.png - A bar graph of Number of Posts for each flair
  • npdd.png - A line chart of the numbers of posts across the day
  • scores.png - A bar graph of Scores of each flair
  • spp.png - A line chart of Score per post for each flair
• templates
  • layout.html - The layout of the website
• .gitignore - A part of the website to ignore 'env'
• Procfile - Needed for hosting website on Heroku to specify the commands that are executed by the website on startup.
• model.pkl - The machine learning model trained by model.py
• reddit_cred.py - Contains ressit credentials
• requirements.txt - Needed for hosting webstie on Heroku to specify the modules needed for the website to run
• views.py - To make the Flask based website