Creating highly useful meeting minutes from transcripts

Abstract

This master's thesis proposes to enhance AI-generated meeting minutes by leveraging structured prompting and schema-based strategies within a transcript-only setup. Current AI models often produce summaries that lack actionable details such as tasks, decisions, and assigned responsibilities, which limits their effectiveness in organizational settings. The research aims to address this gap by exploring how prompt engineering and design constraints can improve the clarity and usefulness of automatically generated meeting minutes.