This project aims to develop a comprehensive system for extracting and summarizing information from audio frames through automated transcription. The process involves utilizing Automatic Speech Recognition (ASR) technology to convert spoken words into text, followed by advanced natural language processing (NLP) techniques for information extraction. The extracted information is then summarized using either extractive or abstractive summarization methods. The project encompasses data collection, annotation, and iterative refinement to optimize system performance.