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		<www.jsetms.com>
		<Title>Visual Question and Answering with Satellite Image</Title>
		<Author>1Dr. P. V. S. Sarma, 2Manchala Prasanna Lakshmi, 3Mekala Sharon Priya Dharshini, 4 Nakka Kiran Babu</Author>
		<Volume>03</Volume>
		<Issue>08</Issue>
		<Abstract>This project presents an Visual question and answering with satellite image is an intelligent system developed to analyze satellite imagery and generate meaningful answers to user queries The proposed system integrates image classification and a rule based keyword matching algorithm to improve the accuracy of question answering It is implemented using python flask HTML CSS JavaScript TensorFlow SQLite and matplotlib to provide a responsive web application The uploaded satellite image is processed to identify its category while the input question is analyzed to extract important keywords for answer predication The system also provides graphical analysis and generates downloadable PDF reports for better interpretation of result This approach offers a simple efficient and userfriendly solution for satellite image understanding and supports application in remote sensing environmental monitoring and geospatial analysis</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		