RichardAfolabi/Realtime-Data-Analytics-Using-Spark ? reverse-engineered prompt

Build me a small realtime social media analytics project that pulls in data from places like Twitter, Meetup, and GitHub, then uses Spark to clean it, analyze it, and show what is trending.

I want it to handle both historical data and new incoming data, so it can do batch analysis first and then update results as fresh posts come in. Please include a few notebook style examples that show the main steps, like reading the data, processing text, finding popular keywords or topics, and saving results to something like CSV or MongoDB.

If it makes sense, also add a simple machine learning example for predicting or classifying new social media activity. Keep it practical and easy to follow, with clear outputs and a basic way to test it locally. If you need to look up current docs online for the APIs or Spark features, go ahead.