AI-Based Intelligent Document a Verification System Using OCR and Machine Learning

Abstract: In the modern digital era, document verification has become an essential requirement across various sectors such as education, banking, government, and corporate industries. Traditional verification methods rely heavily on manual processes, which are time-consuming, error-prone, and inefficient in handling large volumes of data. This paper presents a Document Verification System that automates the process of validating documents using advanced technologies. The system aims to reduce human intervention, improve verification accuracy, and provide faster results. The proposed system allows users to upload documents through a web-based interface developed using ReactJS, with state management implemented using Redux/Context API and UI styling using TailwindCSS/Bootstrap. The backend is developed using Python, which processes the uploaded documents and verifies them against predefined data stored in MongoDB/MySQL databases. The system incorporates TensorFlow-based machine learning models and Optical Character Recognition (OCR) techniques to extract and analyze document content for authenticity.

Keywords: Document Verification, OCR, Machine Learning, Deep Learning, Fraud Detection, TensorFlow, ReactJS, Artificial Intelligence, Authentication System.