Visual-Question-Answering-Ai-Bot-with-RAG

README for Visual-Question-Answering-Ai-Bot-with-RAG 🤖👀

🌈 Project Title

Visual-Question-Answering-Ai-Bot-with-RAG: Enlightening Your Images with AI-Powered Answers

🚀 Introduction

Welcome to the Visual-Question-Answering-Ai-Bot-with-RAG, a cutting-edge application designed to bridge the gap between visual content and natural language queries. By leveraging the power of Retrieval Augmented Generation (RAG) and state-of-the-art AI models, this tool provides insightful answers to questions about your images, making every pixel speak volumes.

🌟 Features

• 🔍 Image Understanding: Deep analysis of images to understand the context and details.
• 💡 Intelligent Question Answering: Provides accurate answers to queries related to the images.
• 🤖 RAG Integration: Utilizes the Retrieval Augmented Generation model for enhanced accuracy.
• 👩‍💻 User-friendly Interface: Easy to navigate interface for a seamless user experience.

🎨 Getting Started

Prerequisites

• Python 3.8 or newer 🐍
• PyTorch, Transformers, and other dependencies 📚

Installation

1. Clone the repository:

   git clone https://github.com/prtkmhn/Visual-Question-Answering-Ai-Bot-with-RAG.git
   

2. Navigate to the project directory:

   cd Visual-Question-Answering-Ai-Bot-with-RAG
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

Running the Application

1. Execute the main script:

   python main.py
   

2. Follow the on-screen instructions to upload an image and ask your questions.

📸 Usage

To get started, simply upload an image and type in your question about it. The AI bot will analyze the image and provide you with an answer based on the visual content.

For example:

• Question: "What objects are detected in the image?"
• Answer: "The image contains a cat, a dog, and a bicycle."

Object Detections

Or,

• Question: "What is the main feature of this chatbot?"
• Answer: "The chatbot is designed for visual question answering using RAG."

Chatbot Interface

🤝 Contributing

We welcome contributions from the community! Whether it's adding new features, improving documentation, or reporting bugs, your input is valuable.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

📬 Contact

Project Link: https://github.com/prtkmhn/Visual-Question-Answering-Ai-Bot-with-RAG

🙏 Acknowledgements

• Google Cloud Vision API
• Hugging Face's Transformers
• All contributors and supporters of this project