Mirza AI - Intelligent Customer Support Platform
AI-Powered RAG Chatbot with Human Agent Fallback
Client
AI Solutions Agency
My Role
Full-Stack Developer & AI Integration Specialist
Timeline
6 weeks
The Challenge
The client needed an intelligent customer support solution that could handle common queries automatically while seamlessly transitioning to human agents for complex issues. The system had to learn from company documentation and provide accurate, context-aware responses.
- High volume of repetitive customer support queries
- Need for 24/7 availability without hiring night shifts
- Requirement to maintain conversation context across channels
- Integration with existing knowledge base and documentation
The Solution
I developed a comprehensive AI-powered platform combining RAG (Retrieval Augmented Generation) technology with real-time human agent support, creating a hybrid approach that maximizes efficiency while maintaining quality.
AI RAG Implementation
Built a custom RAG system using OpenAI embeddings and vector database to provide context-aware responses from the company knowledge base
Real-time Chat Infrastructure
Implemented Socket.IO for real-time bidirectional communication between customers, AI, and human agents
Intelligent Routing
Created smart routing logic to detect when AI confidence is low and seamlessly transfer to human agents
Admin Dashboard
Developed a comprehensive dashboard for agents to monitor conversations, train the AI, and access analytics
Technologies Used
Results & Impact
“Amin delivered an exceptional AI solution that transformed our customer support. The seamless integration between AI and human agents has significantly improved our efficiency while maintaining quality.”