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This is a fun Python project that allows you to chat with a chatbot about the PDF you uploaded. and generate a PDF transcript of the conversation. The project is built using Python and Streamlit framework.
React app that highlights relevant segments in a PDF document based on user questions using natural language processing and AI context segmentation. A useful tool for quickly extracting information from large PDF documents.
React app that highlights relevant segments in a PDF document based on user questions using natural language processing and AI context segmentation. A useful tool for quickly extracting information from large PDF documents.
An educational app powered by Gemini, a large language model provides 5 components a chatbot for real-time Q&A,an image & text question answerer,a general QA platform, a tool to generate MCQs with verified answers, and a system to ask questions about uploaded PDFs. https://drive.google.com/file/d/1M1WT-L419ML_j43dQIyABCy8Ni79NyIq/view?usp=sharing
LLM-based application leveraging LangChain for Retrieval-Augmented Generation (RAG) on imported PDF documents. Enables users to interactively query and converse with PDF content using vector-based retrieval.
An AI-powered chatbot that lets users upload multiple PDFs and ask questions based on their content. It extracts text, processes it with FAISS, and retrieves answers using Google Generative AI (Gemini Pro) through a simple Streamlit interface.
Talk-Bot is a user-friendly chatbot built using Flask, LangChain, and OpenAI. It was developed during the Tech Fest 2024 hackathon hosted at Winjit Technologies Pvt Ltd.