Real-Time Summarization of Text, Images, and Documents Using Advanced Multimodal AI Techniques In the era of information overload, the ability to quickly and accurately summarize content from various sources—text, images, scanned files, and documents—is vital. This project presents a powerful Universal Content Summarization System that leverages Google Gemini 1.5 and Large Language Models (LLMs) to generate real-time, context-aware summaries across multiple content types. Project Overview The system integrates Natural Language Processing (NLP) , Computer Vision , and Multimodal AI Techniques to provide dynamic summarization capabilities for: Raw text content Visual media (images) Digital and scanned documents (PDFs, DOCX) It is built with real-time processing in mind and can adapt based on user feedback to improve over time. Key Features Text Summarization Extractive Summarization : Identifies and selec...