Article
Visual Question and Answering with Satellite Image
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 user-friendly solution for satellite image understanding and supports application in remote sensing, environmental monitoring, and geospatial analysis.
Full Text Attachment
