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.
