Abstract
Abstract Modern research workflows involve analyzing large volumes of documents, extracting insights, generating reports, and managing multi-modal research outputs such as text and audio. Traditional research methods require manual reading, summarization, and interpretation, which are time-consuming and inefficient. To address these challenges, this project proposes Research Analyzer, an AI-driven research automation platform. The Research Analyzer provides an intelligent research environment where users can upload research documents, interact with an AI agent through a chat interface, generate structured research briefings, and produce automated research reports. The system integrates autonomous AI agent workflows, document intelligence, and audio-based research narration through an Audio Lab module. It supports secure content handling, persistent research memory, and modular research execution. By combining document analysis, conversational AI, and automated report generation, the Research Analyzer significantly improves research productivity, accuracy, and knowledge extraction. The system demonstrates how AI-powered research assistants can transform academic and professional research workflows. Keywords Research Analyzer, AI Research Assistant, Autonomous Agents, Document Intelligence, Research Automation