Neel-G-png / Canary-The-social-media-monitor

Social media monitoring system for reddit, youtube and twitter using public API's. Includes popularity prediction graph calculated using upvotes, likes and retweets prediction models.

social-media-buzz

Full reddit data
Orignal Youtube data

Social Monitoring Dashboard

This project was built on react-hooks, context API and flask with JWT authentication.

Along with your peronal mysql connection with 4 seprate tables. Details of which are given below.

With this application we are able to utilize data for data interpretations and visualizations such as Outreach prediction, word cloud, sentiment analysis and brand mentions.

The outreach prediction where by analyzing the previous trends and training the dataset we can predict the target audience outreach the post would have even before it goes live. This quick feedback for start-ups and companies helps them to quickly implement the changes required thus saving resources and ensuring to always get a higher chance of being visible on social media platforms.

Objectives

1. Predicting Outreach of various campaigns, posts and marketing strategies by predicting the impact it will have on the internet.
2. Collecting Data from Public APIs of multiple social media sites and storing them on a mysql database.
3. Analysing the indexed data and visualizing it via data visualization tools.
4. Making strategic market and business decisions based on the data shown on the dashboard.

Public APIs used

1. PRAW / Tweepy API
2. Youtube Data API V3
3. Twitter API V2

MySql tables you will need

Run all the training files in twitter and youtube folders to generate models

Store them in "models" folder inside "api folder"

python canary_api.py

npm install

Run from "complete project" folder to install node-modules

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.