Collecting YouTube data using google API and storing the data in MongoDB(NoSQL) and Migrating the stored data from MongoDB into SQL and creating a user friendly Streamlit web app for the visualization and to get a better understanding of the YouTube channels and video details. All with the help of Python and Python libraries.

To work on the project of YouTube data harvesting and warehousing, the first step is to extract information from a specific YouTube channel using the YouTube channel ID. Subsequently, this data can be analyzed in response to a set of user-provided questions. Python, Pandas,MongoDb,Build,Postgresql,Streamlit.

To work on the project of YouTube data harvesting and warehousing, the first step is to extract information from a specific YouTube channel using the YouTube channel ID. Subsequently, this data can be analyzed in response to a set of user-provided questions. || Python, Pandas,MongoDb,Build,Mysql,Streamlit,Plotly ||

Second round of GUVI Hackathon

Collection of DSA questions from competitive coding websites and simple and basic data structures to ace the coding interview!