INTELLIGENT DOCUMENT ANALYSIS AND NATURAL LANGUAGE PROCESSING: A CONVERSATIONAL AI APPROACH FOR FILE-BASED KNOWLEDGE EXTRACTION USING AUTOMATION SYSTEM

Abstract

This final project presents an innovative approach to intelligent document analysis and natural language processing using a conversational AI system. The system allows users to have interactive conversations and extract knowledge from uploaded files. The application is developed using R for the AI code, UI Path for automation, and TKinter for building the user interface. By applying advanced natural language processing techniques, the system interprets user queries and provides accurate responses based on the uploaded material. The research contributes to the field of knowledge extraction and retrieval by demonstrating a practical application that combines conversational AI, automation, and file-based analysis. Through experimental evaluations, the effectiveness of the system in extracting valuable insights from various documents is demonstrated. The findings emphasize the potential of such applications in improving information retrieval and decision-making processes. This research lays the groundwork for future advancements in intelligent document analysis, offering a valuable tool for knowledge extraction and facilitating more efficient access to information resources.