In a world heading towards automation by leaps and bounds transaction authentication should not be the first thing to stop. This project optimizes the process of entering your credit card information by using Optical Character Recognition (OCR) making it much easier than typing in everything by hand. OCR is a mechanical or electronic conversion of images of typed, handwritten, or printed text into machine-encoded text[1]. This system will read the text from credit and debit cards, extract the exacts and auto-fill this information in forms which can significantly reduce relieved amount of human work. This is further coupled and padded with a mix of classical and quantum machine learning methods to improve fraud detection, enhanced customer service at lower costs by using large language model based smart AI-driven bots. Such an innovative approach does not just make user experience better than others but also increases security of financial transactions more efficiently[2]. This initiative stitches together OCR, advanced machine learning algorithms and generative AI to create a complete solution for secure data processing, meaningful fraud detection and automated customer discovery.

Demo link - https://drive.google.com/file/d/1wKG2qHI9fB1jQW2eVVZCO6TzvfDr95pP/view?usp=sharing