MinuteMaster: An AI-Powered Meeting Transcription and Scheduling System

Abstract

Taking notes during meetings sounds easy, but in reality, people often miss key points—especially when multiple people are talking. Managing follow-ups in separate apps only adds to the hassle. MinuteMaster was built to simplify this. It's a web app that brings transcription, speaker identification, summarization, and scheduling into one place. It uses Whisper for multilingual speech-to-text, pyannote.audio to identify who's speaking, and BART to turn long transcripts into clear, short summaries. A built-in calendar helps users manage meetings without switching apps. We tested it on 30 recordings across English, Hindi, Telugu, Tamil, and mixed languages. Transcription accuracy ranged from 76\% to 88\%, and summaries performed better than TextRank with a ROUGE-1 score of 0.48. In a study with 42 users, it received an average rating of 4.25/5. The system runs on Flask with MongoDB, making it simple to deploy and scale.