Project Overview
This intelligent inventory management system revolutionizes warehouse operations by enabling natural language interactions. Users can query inventory, generate reports, and manage stock through conversational AI or voice commands, making inventory management accessible and efficient.
Project Screenshots
Main Interface
PyQt6 desktop application with conversational AI chat and inventory display.
Voice Control
Hands-free operation using Whisper STT for voice commands and queries.
Key Features
- RAG-Powered Queries: Real-time database connected with contextual AI understanding
- Voice Control: Whisper STT and TTS APIs for hands-free operation
- Multi-Location Tracking: Manage inventory across multiple warehouses
- Predictive Reordering: ML algorithms for automated stock replenishment
- Conversational Reports: Generate insights through natural dialogue
- Role-Based Access: Secure access control for different user levels