Experience How AI is Revolutionizing the Business World with Interactive, Voice-Activated Learning
● What Are We Building Today? -
This Project is result of visiting a museum with my son where a pre-recorded message about geological origins couldn't engage with his follow-up questions. This sparked the idea of creating a virtual museum with AI dinosaur exhibits that could understand context and provide personalized responses like a real guide.
● Why Read This Article? -
While an AI dinosaur museum may seem niche, the innovative approach of blending technologies has widespread potential across industries to revolutionize products, services, and user experiences through contextualized voice AI and natural language interaction.
● The Goal -
The goal was to build immersive, voice-enabled dinosaur environments that bring prehistoric creatures to life through natural conversation, allowing visitors to ask follow-up queries and explore tangential topics dynamically.
● How to Design? -
The system leverages a multi-model approach: user input is processed by a language model (Llama3 on Ollama), potentially referencing a dataset, then the output is transformed into natural speech by ElevenLabs AI and delivered through a user interface, creating a seamless conversational experience.
● Let's Get Cooking! -
The project has two critical flows:
User Interaction (Streamlit app) and REST API Server (Flask). -
The Streamlit app showcases dinosaurs, allows selecting one and entering queries, sends requests to the server, and displays responses. - The Flask server handles requests, fetches relevant dinosaur content, queries the language model, and returns responses (generating audio with ElevenLabs).
● Setup Instructions -
Detailed step-by-step instructions are provided for setting up a virtual environment, installing dependencies (Streamlit, Ollama, LLaMA-3), running the API server and Streamlit app, and testing the application.
This article explains my motivation and vision for creating an AI-powered virtual museum with voice interaction capabilities. It outlines the multi-model approach, system design, and implementation details, emphasizing the potential for applying similar technologies to various industries. Clear setup instructions are provided for readers to recreate the project.
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