Ramsri Goutham presented on generating multiple choice questions (MCQs) from text using natural language processing. He discussed using T5 transformers and sense2vec vectors to generate questions from news articles and generate wrong answer choices using WordNet and Sense2vec. Ramsri also shared an open source question generation library called Questgen and demonstrated generating MCQs from sample text about Elon Musk and cryptocurrencies in a Google Colab notebook.