Secured Challan Filling Automation Using OCR Technology and Machine Learning

The Automated Challan Filling System integrates several advanced technologies, such as Optical Character Recog-nition (OCR), machine learning (ML), and voice assistance to modernize the bank challan process. Such technologies reduce manual entries and errors in the physical forms by automatically extracting key data from them. ML helps validate the accuracy of data in addition to detecting false cases for enhanced se-curity. The option of multiple authentication methods such as PIN, OTP, and biometric avenues ensures secure, personalized transactions. With a voice assistant that guides users step-by-step, it makes the system user-friendly, especially to literate and non-literate and low-tech users. Multilingual and with a user-friendly interface, the system enhances accessibility, efficiency, and transaction speed in addressing the disadvantaged users' challenges in accessing traditional banking processes.