Efficient Information Digest: Exploring AI- Driven PDF Summarization through Streamlit, Open API, and LangChain
With a focus on combining API functions with LangChain, this initiative aims to develop an AI-driven web application for summarising PDFs using Streamlit. Given the growing growth of PDF consumption, there is a strong demand for a cost-effective, efficient, and user-friendly user interface that can help academics and students manage large data sets.The software's primary purpose is to collect and analyse data effectively by combining context-aware LangChain inquiry and answer technology with API integration. This program, which emphasises speed, cost-effectiveness, and convenience of use, aims to address the growing demand for efficient PDF summarisation. The primary goal is to create a dynamic web application that can adapt to the changing needs of users in the demanding disciplines of academia and research.
Authors
- Dipak Kumar Mandal
- Pranav Chaurasiya
- Prabhjot Kaur (ORCID: https://orcid.org/0000-0001-9027-7756)
- Nirajan Chaube
- Prince Kumar Keyal
- Prishika Chaudhary
Institutions
- Chandigarh University (IN)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/iicccs61609.2024.10763576
- Citations
- 1
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.35