Using AssemblyAI API for transcription and summary tool, and also Python library Streamlit in order to build a quick interface, I developed a full functioning tool, where the user can get the speech-to-text transcript of any mp3 file, but also the summary of the mentioned audio file.

As a Data Analyst intern, I thoroughly worked with a large amount of data, using python programming libraries such as Pandas, NumPy, Matplotlib. I was able to analyze the data, as well as create interactive visualizations. Afterwards, I label encoded the data for the future use when implementing various ML algorithms. And finally created a little frond-end piece with StreamLit library to show the final results.