Smart PDF Q&A App with Gemini AI (Real Use Case – Microsoft Support)

In this video, I demonstrate how to build a simple AI application where users can upload a PDF and ask questions about the document using Google Gemini.

The application allows users to interact with documents in a conversational way. Instead of manually searching through pages, you can simply ask a question and Gemini will analyze the PDF content and provide an answer.

To demonstrate a real-world scenario, I use a Microsoft Support Agent example to show how AI can help support teams quickly understand documentation and find relevant information faster.

In this tutorial you will learn:
• How to upload and read PDF files
• How to connect Google Gemini to your application
• How to send document content and user questions to Gemini
• How to generate AI-powered answers from documents

Technologies used:
• Google Gemini LLM
• Python
• Streamlit
• PDF processing

This is a simple approach to document-based Q&A using Gemini. In upcoming videos, I will also cover more advanced implementations such as Retrieval-Augmented Generation (RAG) for large documents.

If you enjoy building AI applications and GenAI projects, consider subscribing to the channel for more tutorials.

#GeminiAI #GenerativeAI #PDFChatbot #AIProjects #Python #Streamlit

Видео Smart PDF Q&A App with Gemini AI (Real Use Case – Microsoft Support) канала Data & AI