This is a study about a new concept whose objective involves automatic classroom note taking using machine learning techniques for speech-to-text conversion. Instructors carry wireless microphones, which take lecture recordings while simultaneously converting the recordings into written form. The archived notes can be edited to make it easier to understand for educators and learners alike. The system permits translations in multilingual languages, hence accessing the notes in languages such as Tamil and English. The thesis here designs, develops, and tests the system while demonstrating its ability to enhance learning by providing accurate, accessible, and modifiable notes.