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AI/ML2024
Conversational AI Assistant
Context-aware chatbot for customer support with natural language understanding, reducing support tickets by 60% while improving customer satisfaction.
Client
E-commerce Platform
Duration
3 months
Role
AI Engineer
Project Overview
Developed an intelligent conversational AI system that understands context, maintains conversation history, and provides accurate responses to customer inquiries. The system integrates with existing support workflows and escalates complex issues to human agents.
Challenges
- Maintaining conversation context across multiple interactions
- Handling ambiguous queries and edge cases
- Integrating with existing support systems and databases
- Ensuring consistent and helpful responses
Solutions
- Implemented conversation memory using Redis for context persistence
- Built multi-intent classification system with fallback mechanisms
- Created seamless integration layer with existing CRM and ticketing systems
- Developed comprehensive training pipeline with human feedback loops
Key Results
60% reduction in support ticket volume
85% customer satisfaction rate with AI responses
24/7 availability with instant response times
Reduced support team workload by 40%
Technology Stack
Frontend
ReactTypeScriptTailwindCSSSocket.io
Backend
Node.jsExpressLangChainOpenAI API
Database
PostgreSQLRedisVector Database
Infrastructure
DockerKubernetesAWSMonitoring
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