Featured Work

Gemini Chat PDF.

A Streamlit app for uploading PDFs, extracting content, and querying them using Google's Gemini-pro AI.
Tech stacks
  • Python 3.10 | PyPDF2
  • Langchain
  • Google Generative AI
  • Streamlit | Google Cloud SDK
Tech stacks
  • Python 3.10 | PyPDF2
  • Langchain
  • Google Generative AI
  • Streamlit | Google Cloud SDK
Overview

The Gemini PDF Question Answering System is a Streamlit-based AI-powered application that allows users to upload multiple PDFs, extract their content, and interact with them through a conversational chat interface. It leverages Google's Gemini-pro to provide intelligent, context-aware answers to user queries based on the uploaded documents. This system utilizes PyPDF2 for text extraction, Langchain for text chunking and vectorization, and Google Generative AI for question answering. The application ensures a seamless and interactive user experience, making it useful for research, legal document review, academic studies, and more. With a simple web UI built in Streamlit, users can easily upload PDFs, process them, and get precise answers to their questions, improving information retrieval efficiency.

Discover.

Highlights.
  • Fully Responsive
  • Fast & Efficient Processing
  • Cloud Integration
  • User-Friendly Interface
Features.
  • Multiple PDF Upload Support
  • Automated Text Extraction & Chunking
  • AI-Powered Q&A
  • Conversational Chat Interface
Approach

The Gemini PDF Question Answering System follows a structured approach to efficiently process and analyze PDF documents. First, users upload one or more PDFs through the Streamlit-based interface. The application then extracts text from these files using PyPDF2 and splits the content into smaller chunks to enhance processing efficiency. These text chunks are converted into vector embeddings using Langchain, enabling semantic search for relevant information. When a user submits a query, the system leverages Google’s Gemini-pro AI to retrieve and generate context-aware responses based on the extracted PDF content. Finally, the answer is displayed in a chat-based interface, providing an intuitive and interactive user experience.