Online Auto-Fill Forms From Images
Presenter(s)
Charith Boddu
Files
Description
This project could be useful in simplifying and streamlining the process of filling out online forms, by leveraging technology to automatically extract text from images and populate the corresponding form fields. This could save time, reduce errors, and provide a more convenient and accessible way for users to complete online forms.The Autofill Forms project is a software development project that aims to create a web-based application that allows users to quickly and easily fill out online forms by extracting text from a picture and automatically populating the form fields with the extracted information.The application would allow users to take a picture of a document, such as a driver's license or passport, and use optical character recognition (OCR) technology to extract the text from the image. The extracted text would then be used to automatically fill in the corresponding fields in the online form.The project would involve designing a user-friendly interface that allows users to upload or take a picture of their document and preview the extracted information before auto filling the form. The application would also need to be able to handle different types of forms and adapt to changes in the form layout.Overall, the Autofill Forms project would aim to provide a more efficient and convenient way for users to fill out online forms by leveraging OCR technology and reducing the need for manual data entry.
Publication Date
4-19-2023
Project Designation
Course Project 202310 CPS 595 P1
Primary Advisor
Ahmed El Ouadrhiri, Phu Phung
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium, College of Arts and Sciences
Institutional Learning Goals
Scholarship; Vocation; Practical Wisdom
Recommended Citation
"Online Auto-Fill Forms From Images" (2023). Stander Symposium Projects. 3245.
https://ecommons.udayton.edu/stander_posters/3245
Comments
Presentation: 9:20-9:40 a.m., Jessie Hathcock Hall 101