Veribot: AI-Powered Academic Answer Validation System

Abstract

PDF documents is used for storing and sharing information. Extracting the answers for questions from PDF files is a valuable task in various domains, including education, research, and business. Langchain is a natural language processing framework that mainly focuses on deep learning techniques, including transformers, to understand and process the text efficiently. In our approach, PDF documents are first inserted and it is processed by Langchain to extract and generate the content. Then, users can ask questions related to the content of the PDF. The NLP will use its language model to process the content and generates correct and informative answers to the user's questions. It provides a simple and user- friendly interface for individuals and organizations to understand the complex data, to make it easier to find the information that they need form the PDF files. This project has the ability to improve information gathering and knowledge management across a wide range of applications, including academic research, legal document analysis, and data-driven decision-making processes. This system will allow the students to check their answers with sources that are provided, improves exam preparation. VeriBot acts an important tool in academics by providing answers and also boosts the confidence of the students in exam preparation.