Advanced AI Solution for Dynamic PDF Interaction and Management
The system aims to simplify the process of interaction with PDFs. Developed using Next.js 14, Shaden, UploadThings, Pinecone, Prisma, Postgresql and Langchain framework, it enables users to upload PDFs of up to 16MB, overcoming limitations seen in other platforms offering similar services. Once uploaded, users can query questions related to the PDF, and an implemented OpenAI model generates relevant answers. In cases where the OpenAI model fails to locate information, it provides appropriate responses, informing the user of its inability to find the requested information. Furthermore, the platform prioritizes user privacy and security. Users have the capability to delete both the uploaded PDFs and associated chat interactions. This feature ensures that sensitive information remains under the user’s control, offering peace of mind regarding data privacy. By leveraging advanced technologies and frameworks, the systemt streamlines PDF interaction, offering users a seamless experience. Whether it’s retrieving specific information from PDF documents or managing privacy preferences, the platform empowers users with efficient tools and functionalities.
Authors
- Kavita Kumar
- A. Yasmine Begum
- R Chaitra
- Mahesh Kumar T N
- Rahul Sajjan
Institutions
- Atria (NL)
Publication Details
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1109/icraset63057.2024.10895728
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00