Our project aims to develop an AI-driven software system that identifies and distinguishes between different speakers at the start of a conversation, lesson, or meeting. The software will analyze the speakers’ voices and assign a unique identity to each participant. Additionally, the system will generate an individual report for each participant, which includes emotion analysis based on tone and content, a summary of key points said by the participant, and an analysis of the elements in the conversation that triggered specific emotions.