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Harnessing AWS Bedrock: Create a Generative AI PDF Chatbot

  • This project will develop an advanced AI-powered chatbot designed to facilitate seamless interaction with PDF documents.
  • Users can upload files of up to 200MB and pose questions to the chatbot, enabling them to explore and extract valuable insights from the content of the documents.
  • This application will utilize AWS Bedrock, Amazon S3, AWS EC2, Docker, Langchain and Streamlit tools and technologies.
  • The chatbot will understand and respond to user inquiries intelligently, making it a powerful tool for both educational and professional settings.
  • PyPDF divides the PDF content into vectors for machine-learning-friendly representation of the PDF's content.
  • The application processes the vector from Amazon S3 for similarities using Jurassic-2 Mid llm model to generate an answer that will respond to the user.
  • Streamlit creates a visually appealing and user-friendly interface for a smooth and interactive experience.
  • Students can use this application to enhance their ability to engage with academic articles and literature.
  • This project represents a significant advancement in educational technology and paves the way for improved student capabilities in navigating and relating to scholarly articles.
  • Through this project, we have developed an innovative PDF chatbot application designed to reduce the time spent on research and reading.

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