NeuroDocs: AI Powered Document Analysis System

The rapid digitization of documents in banking, governance, and commercial environments has significantly increased the demand for intelligent document management systems that ensure security, usability, and authenticity. In the Indian context, users routinely manage sensitive documents such as bank statements, identity proofs, certificates, and invoices, which require secure access, structured organization, multilingual understanding, and protection against fraudulent manipulation. Traditional document management systems largely focus on storage and retrieval while lacking intelligence-driven automation, regional language support, and fraud detection capabilities. This paper presents NeuroDocs, a comprehensive document analysis platform that integrates secure authentication, automated document organization, multilingual document highlighting and translation, and scam and fraud detection. The system employs OTP-based secure authentication for user access, OCR-based text extraction for document understanding, rule-based automated foldering, neural machine translation for English, Tamil, and Hindi languages, and computer vision–based seal verification for fraud detection. NeuroDocs is implemented using a Reactbased frontend, Node.js backend, MongoDB database, and Python-based AI services. Experimental evaluation on real-world Indian documents demonstrates improved document organization efficiency, enhanced accessibility for regional language users, and effective identification of potentially suspicious documents. The proposed system provides a practical, scalable, and secure solution for intelligent document management.