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dc.contributor.author | Abdullah Rafiq, 01-134202-004 | |
dc.contributor.author | Hamza Sarfraz, 01-134202-026 | |
dc.date.accessioned | 2024-07-22T06:07:54Z | |
dc.date.available | 2024-07-22T06:07:54Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17566 | |
dc.description | Supervised by Dr. Hafiz Ishfaq Ahmed | en_US |
dc.description.abstract | This report presents the development of an innovative AI Assistant application, a project at the intersection of artificial intelligence and web technology, designed to enhance information accessibility and data processing capabilities for users. At its core, the project addresses the challenge of simplifying the interaction between users and complex AI systems, particularly in the realms of information retrieval and data visualization.The objective is twofold: firstly, to provide a user-friendly platform for individuals and businesses to access AI-driven insights and analyses; and secondly, to offer customized services such as web content extraction and advanced data visualization, tailored to the specific needs of different user groups.The methodology involves integrating large language models with a Python and FastAPI-based backend, a React frontend, and a MySQL database, creating a system that is both robust and scalable. This setup enables the processing of high-dimensional data and the management of user interactions through a dynamic and responsive interface.Results from the implementation show that the application not only successfully facilitates efficient and intuitive access to AI-powered services but also ensures security and privacy of user data. The system’s scalability and performance in handling diverse tasks further highlight its effectiveness.This AI Assistant application stands as a testament to the potential of modern AI and web technologies in transforming the way users interact with and benefit from artificial intelligence. It encapsulates a significant step forward in making complex AI functionalities accessible and useful across various user contexts. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS(CS);P-02212 | |
dc.subject | Generative AI | en_US |
dc.subject | Assistant | en_US |
dc.subject | Webpages | en_US |
dc.title | Generative AI Assistant for Webpages | en_US |
dc.type | Project Reports | en_US |