A voice-first multimodal AI system that listens, sees, generates, searches, and responds in a continuous intelligence loop.
This system is designed and developed by Lakshya Prajapati. It is an experimental multimodal AI framework combining speech, vision, image generation, and web intelligence into a unified runtime loop.
V1.8 is a voice-first AI assistant that can: listen to spoken prompts, respond using neural TTS, launch macOS apps, search the web for live context, analyze webcam input, and generate images using diffusion models.
Live system demonstration
V1.8 Speech Agent — Real execution preview
Whisper transcription + Edge TTS response system.
Launch macOS apps or fallback to web execution.
Search-enhanced reasoning with real-time results.
Webcam-based object and environment analysis.
Stable Diffusion-powered visual synthesis.
Structured debugging-friendly console formatting.
macOS
Python 3.11+
Microphone access enabled
Camera access (optional vision mode)
Ollama installed locally
Stable Diffusion compatible GPU/MPS backend
chafa installed for terminal image preview
ML inference backend
Local LLM runtime
Speech recognition
Neural speech synthesis
Image generation pipeline
Camera vision processing
Future updates will include cross-platform support, streaming AI responses, persistent memory systems, improved vision pipelines, safer file handling, and a full interactive UI layer for real-time control.
Version: V1.8 Speech Agent
State: Experimental Release
Stability: Developer Preview
Goal: Unified Multimodal Intelligence System