Field Service Multi-Agent System

Project Story

Our project revolutionizes field service for large machinery setup and maintenance. We've developed an AI-powered multi-agent system that field technicians can call for real-time assistance. This system streamlines documentation processes, enhances communication, and optimizes internal workflows through a voice interface, allowing technicians to work hands-free while accessing crucial information and guidance on-site.

Key Technical Aspects

1. Voice Interface

• Custom voice solution for handling phone calls from field technicians

2. Speech Processing

• Speech-to-Text (STT) for converting technician queries to text
• Text-to-Speech (TTS) for delivering spoken responses
• Implemented using AI/ML API's models

3. Natural Language Processing

• AI/ML API for intent recognition and entity extraction from technician queries

4. Knowledge Management

• Stores and organizes technical documentation and procedures

5. Advanced AI Processing

• SambaNova's models for complex tasks
• Summarizing technical documents
• Generating detailed responses

6. Backend Infrastructure

• Express.js server managing core logic
• Orchestrates interactions between AI services and knowledge base

This system empowers field technicians to quickly access relevant information, receive step-by-step guidance, and solve complex problems efficiently through a simple phone call. The combination of voice interaction, advanced AI processing, and a comprehensive knowledge base significantly improves field service operations.

Built With

• node.js
• openai
• sambanova
• typescript