The Document Summarizer leverages Hugging Faceβs facebook/bart-large-cnn model to transform lengthy documents into concise summaries. Built with ReactJS (Vite) for the frontend and Flask for the backend, it supports PDF and text files, offering real-time summarization for researchers, students, and professionals.
Noto.ai is a local AI-powered PDF assistant that lets you chat with documents, ask questions, and get instant summariesβall offline using LLaMA 3 via Ollama. Built with Python and Kivy, it offers a clean desktop interface for students, researchers, and professionals who want to extract insights from complex PDFs efficiently and privately.
The app helps users understand the contents of a document by generating a summary of the document's key points.
AI tool to summarize documents and generate Q&A using OpenAI GPT-3.5. Built with Streamlit. Supports TXT, PDF, and DOCX uploads.
π Transform PDFs into interactive research companions, enabling questions, summaries, and private AI interactions using LLaMA 3 locally.
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