Inspiration
Reading and searching through long PDF documents is inefficient when users only need specific answers. The inspiration behind this project was to simplify information retrieval by enabling users to directly ask questions across multiple PDFs using AI.
What it does
Gemini Multi PDF Reader allows users to upload multiple PDF files and interact with them through a conversational interface. The application extracts content from all uploaded PDFs and uses Google Gemini to generate accurate, context-aware answers based on the combined document knowledge.
How we built it
The project was built using Streamlit for the user interface and Python for backend processing. PDF text is extracted using PyPDF2 and processed with LangChain. Google Gemini is used as the language model for generating responses. Environment variables are used to securely manage API keys, and Docker is used for containerized deployment.
Challenges we ran into
Maintaining accurate context across multiple PDFs was a major challenge. Handling large documents efficiently and optimizing text chunking to reduce latency required careful tuning. Managing API limits while ensuring reliable responses was another challenge.
Accomplishments that we're proud of
We successfully built a working end-to-end AI application that can process multiple PDFs and provide meaningful answers in real time. The project demonstrates practical use of large language models integrated with real-world documents in a clean, user-friendly interface.
What we learned
Through this project, we gained hands-on experience in building AI-powered applications, working with LangChain pipelines, integrating Google Gemini APIs, and deploying Streamlit apps. We also learned how to manage document context effectively for conversational AI systems.
What's next for Gemini Multi PDF Reader
Future improvements include adding document summaries, improving response accuracy with better retrieval strategies, supporting more file formats, and deploying the application at scale for real-world usage.
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