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AI/ML

AI Chatbot

Intelligent chatbot powered by machine learning for customer support automation.

Client

SupportHub Solutions

Duration

3 months

Completed

August 2024

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Project Screenshot

PythonTensorFlowNLPFastAPIDocker

Project Overview

Developed an intelligent AI chatbot that handles customer support queries with 85% accuracy. The chatbot uses natural language processing to understand customer intent and provides relevant responses from a knowledge base. It seamlessly escalates complex queries to human agents when needed.

The Challenge

Creating a chatbot that could understand diverse customer queries across multiple product categories while maintaining context throughout conversations. The system needed to handle multiple languages and integrate with existing CRM systems.

The Solution

Built a custom NLP pipeline using TensorFlow and BERT models for intent classification and entity extraction. Implemented a context management system to maintain conversation history. Created a hybrid approach combining rule-based responses for common queries and machine learning for complex scenarios. Integrated with the client's CRM via REST APIs.

Results & Impact

70% reduction in customer support tickets

85% query resolution rate without human intervention

Average response time reduced from 5 minutes to 2 seconds

Customer satisfaction increased by 40%

Support team can now focus on complex issues

Key Features

Natural language understanding with 85%+ accuracy

Multi-language support (English, Spanish, French)

Context-aware conversations

Seamless handoff to human agents

Integration with CRM and ticketing systems

Real-time analytics dashboard

Continuous learning from conversations

Customizable response templates

Sentiment analysis for customer feedback

Voice input support

Technologies Used

Frontend

ReactTypeScriptSocket.ioTailwind CSS

Backend

PythonFastAPITensorFlowspaCyCelery

Database

PostgreSQLRedisElasticsearch

Tools & Services

DockerKubernetesAWSMLflowGrafana

"The AI chatbot has transformed our customer support operations. We're handling more queries with fewer agents, and customer satisfaction has never been higher. The system learns and improves over time, which is incredible."

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Sarah Johnson

Head of Customer Success, SupportHub