• Tejaswi Kashyapi
• Rohan Pawar
• Nomesh Sarode
• Aniket Dakhore
• Geeta Zaware

The purpose of this paper is to reveal novel design of robust web application catering e-grocers and helping them tackle inefficiencies present in current grocery shopping platforms. This paper also aims to help the users/customers who are less technically sound but want to take advantage of grocery shopping from their home. The implemented web application works in a efficient way i.e., bringing the business online rather than the centralized approach of merely the products being online, thereby providing a significant improvement to the customer as well as the owners of small and medium grocery stores. The web application also provides a novel feature of handwritten as well as printed Grocery List Items Recognition thereby helping in digitizing large number of documents and mitigation of computer vision problems that current state of art algorithms face.

Web Application, MERN stack, Computer Vision, Intelligent Word Recognition (IWR), Optical Character Recognition (OCR)

"INNOVATIVE GROCERY SHOPPING WEB APPLICATION WITH INTELLIGENT WORD RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h98-h102, May-2022, Available :http://www.jetir.org/papers/JETIR2205812.pdf

"INNOVATIVE GROCERY SHOPPING WEB APPLICATION WITH INTELLIGENT WORD RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph98-h102, May-2022, Available at : http://www.jetir.org/papers/JETIR2205812.pdf