This project is a multi-modal Visual Question Answering (VQA) system that interprets images and answers questions about them. By leveraging computer vision and natural language processing techniques, ...

This project is a Visual Question Answering (VQA) Bot built using Streamlit and Hugging Face's BLIP model. The bot allows users to upload an image, ask a question about it, and receive an AI-generated ...

Visual Question Answering (VQA) is a challenging task that bridges the computer vision and natural language processing communities. It provide natural language answers to questions related to an ...

Visual Question Answering (VQA) is a dynamic interdisciplinary field that unites computer vision and natural language processing to enable systems to answer open-ended questions about images. The ...

QnAMaker is a Cognitive Service tool that uses your existing content to build and train a simple question and answer bot that responds to users in a natural, conversational way. QnA Maker ingests FAQ ...