The application is a mere demonstration of a decentralized text analysis and prediction.

Steps before you can run the app

1. Create cred.py file and add the following there

• api_key = "your api key from youtube api"
• channel_id = ""
• vect = ""
• channel_name = ""

2. Install all libraries from requirements.txt (pip install -r /path/to/requirements.txt)
3. From terminal go to installed directory

• cd {your pulled file directory}

4. Run the program (python main.py)
5. Navigate to http://127.0.0.1:5000 to view the application

Teck stack used:

~ Flask ~ HTML ~ Python ~ Pyspark ~ Pandas ~ Numpy ~ Googleapiclient ~ BeautifulSoup ~ Nltk ~ Sklearn ~ Matplotlib ~ Wordcloud ~ Joblib

Video

https://www.youtube.com/watch?v=AowljMakD-Q

WebApp Screenshots (Sample)

Screen 1 (Taking user input as Youtube Channel URL)

Screen 2 (Displaying the Channel Analysis)

Screen 3 (Taking user input as title and discription for prediction)

Screen 4 (Displaying the prediction given by each ML algorithm)

Recommendation, collaboration and improvments requests are encouraged, please feel free to raise an issue and/or contact us directly.