Paper Title
Smart Visual Question And Answering System Using Artificial Intelligence
Article Identifiers
Authors
Shivam Magar , Anshul Kakroo , Yash Rajoriya , Dipak Patil , Pradnya Kasture
Keywords
image detection, text detection
Abstract
The development of image-related intelligent interaction technology has been accelerated by the use of artificial intelligence methods in the field of image processing. By posing questions that are relevant to the image, visual question answering (VQA) gathers data that will help people better understand the images. A great deal of study has been done in each of their separate domains. Vision and language are the two fundamental components of human intelligence to grasp the real world and also the basic components to realise artificial intelligence. The development of visual question-answering technology across the visual field and natural language disciplines has recently been a research hotspot due to the ongoing promotion and use of deep learning in the fields of computer vision and natural language processing. By asking questions that are pertinent to the image's content, visual question answering (VQA) for intelligent engagement gathers image data with the ultimate goal of enhancing image comprehension. The visual question answering system faces enormous hurdles as a new area of research, thus we must study and go deeper into this area.
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How To Cite (APA)
Shivam Magar, Anshul Kakroo, Yash Rajoriya, Dipak Patil, & Pradnya Kasture (May-2023). Smart Visual Question And Answering System Using Artificial Intelligence. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h321-h330. https://ijnrd.org/papers/IJNRD2305741.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : h321-h330
Other Publication Details
Paper Reg. ID: IJNRD_197104
Published Paper Id: IJNRD2305741
Downloads: 000121995
Research Area: Computer EngineeringÂ
Country: Pune, MAHARASHTRA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305741.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305741
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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