AI Voice/Text Assistant Development

I’m building a cross-platform virtual assistant that will run on Desktop and Web, able to understand spoken words, reply in natural text or speech, and fetch answers from the internet in real time. Core pieces are already sketched out—I have the feature list and some UI wireframes—but I need an experienced developer to turn the concept into a polished, production-ready application.

Key functions to implement
• Speech-to-Text and Text-to-Speech pipelines for fluid voice commands and hands-free operation.
• Voice recognition authentication so users can securely log in with their own voice print.
• Basic search-query integration that hits a live search engine API, pulls results instantly, and feeds them into the chat logic.
• An intelligent chatbot layer that can interpret both typed and spoken input, decide whether to answer directly or trigger a search, and respond conversationally.
• A responsive GUI in PyQt that works seamlessly on desktop browsers through WebAssembly or a comparable bridge, with a native desktop build for Windows/macOS/Linux.

What I’ll look for in your delivery
1. Clean, well-documented Python code (PyQt, speech-recognition, TTS, NLP libraries of your choice).
2. A modular design that lets me later plug in deeper contextual search or mobile support without refactoring the core.
3. Setup scripts or Docker files so I can spin the project up locally and deploy to a web host.
4. A brief user guide plus inline developer comments.

If you have previous examples of voice-enabled assistants, chatbots, or PyQt GUIs, please share a short demo link or repo. I’m ready to move quickly and can provide API keys and branding assets as soon as we agree on the milestones.