While e-commerce platforms are growing rapidly across category verticals, from clothes, groceries, and household products, digital literacy has also emerged as a major contributor to efficiently maneuvering through shopping experiences via portals. All of these platforms can be very helpful, but they are also very complicated, and people who are not familiarized with digital technology under the usual intersects may find them difficult to use. When users are tasked with long or complicated shopping lists, the complex search functionality mixed with product categories and filters becomes a blocker for a substantial segment of users. However, the process of entering each toe to a cart is sloppy and tedious, which may annoy people who are just shopping, trying to eat a fucking steak as well as fucking potato. Not only this makes it less welcoming to the less tech-savvy but it results in a more cumbersome experience for those who simply want to shorten their time on the e-commerce portals. This project suggests a way through using its optical character recognition (OCR) technology by means of the open-source Tesseract engine, in an effort to facilitate the online shopping process. It is used to scan an image of a handwritten shopping list and extract the associated text of the items so each individual item on the list could be recognized and added to the cart automatically by the system rather than manually inputted which consumes a longer time. It makes the process quicker and easier as your search each item. This resolution conveys not just robustness in time and effort used in the present shopping event yet, in addition, makes the shopping understanding increasingly open to clients who may need computerized ability. This method is suitable to a mix of needs and abilities by providing a seamless alternative for those who might find online purchasing through an online retailer interface daunting as well as to individuals who might be pushed for time. This approach aims to reduce barriers to online shopping and enhance accessibility, making digital platforms more usable, inclusive, and appealing for all, regardless of technological experience.

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Automating Grocery Shopping: From List to Cart

  • K. Keerthi,
  • K. Sita Kumari,
  • M. Ashok Kumar,
  • T. Abhishek Goud,
  • A. Chandrashekhar

摘要

While e-commerce platforms are growing rapidly across category verticals, from clothes, groceries, and household products, digital literacy has also emerged as a major contributor to efficiently maneuvering through shopping experiences via portals. All of these platforms can be very helpful, but they are also very complicated, and people who are not familiarized with digital technology under the usual intersects may find them difficult to use. When users are tasked with long or complicated shopping lists, the complex search functionality mixed with product categories and filters becomes a blocker for a substantial segment of users. However, the process of entering each toe to a cart is sloppy and tedious, which may annoy people who are just shopping, trying to eat a fucking steak as well as fucking potato. Not only this makes it less welcoming to the less tech-savvy but it results in a more cumbersome experience for those who simply want to shorten their time on the e-commerce portals. This project suggests a way through using its optical character recognition (OCR) technology by means of the open-source Tesseract engine, in an effort to facilitate the online shopping process. It is used to scan an image of a handwritten shopping list and extract the associated text of the items so each individual item on the list could be recognized and added to the cart automatically by the system rather than manually inputted which consumes a longer time. It makes the process quicker and easier as your search each item. This resolution conveys not just robustness in time and effort used in the present shopping event yet, in addition, makes the shopping understanding increasingly open to clients who may need computerized ability. This method is suitable to a mix of needs and abilities by providing a seamless alternative for those who might find online purchasing through an online retailer interface daunting as well as to individuals who might be pushed for time. This approach aims to reduce barriers to online shopping and enhance accessibility, making digital platforms more usable, inclusive, and appealing for all, regardless of technological experience.