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Government and banking processes often require users to manually fill complex forms such as PAN, passport, and bank account applications. These manual processes are time-consuming and prone to human error. This research presents FormGenie, an intelligent form automation system designed to simplify digital form filling through the integration of Optical Character Recognition (OCR), voice input recognition, multilingual support, and automated PDF generation. The system is developed using Python with the PySide6 framework for the graphical user interface, enabling users to interact with a desktop-based application that supports automated document handling. OCR technology using Tesseract extracts text information from uploaded documents and automatically fills form fields. Additionally, the system integrates voice recognition modules to allow users to provide form inputs through speech commands, improving accessibility and usability. A secure authentication system is implemented with bcrypt password hashing and OTP-based password reset functionality, ensuring data protection and user privacy. The application stores form data and user profiles in an SQLite database, allowing efficient retrieval and history tracking. The system also provides PDF export functionality using the ReportLab library, enabling users to generate formatted documents for official submission. The application further supports multiple languages including English, Hindi, and Marathi, which increases accessibility for diverse users. Government resource links and location search features are integrated to assist users in accessing official portals and nearby government offices. Experimental evaluation shows that the FormGenie system significantly reduces the time required for form completion while minimizing input errors. The system demonstrates the potential of integrating artificial intelligence and automation into administrative processes, making digital services more efficient and user-friendly... .
Published in: International Journal of Advanced Research in Science Communication and Technology