Developed ConversAI Support, an intelligent, context-aware chatbot system for customer support automation across multiple industries. Powered by state-of-the-art NLP models and deep learning frameworks, it understands intent, handles multi-turn dialogues, and seamlessly escalates to human agents when needed. Integrated with enterprise CRM and ticketing platforms to ensure continuity and data consistency. The platform is scalable to millions of conversations monthly with near real-time response times.
Technologies: Python, Rasa, TensorFlow, Kubernetes, REST API, PostgreSQL
Build a smart chatbot for customer support
Understand product-related queries and FAQs
Escalate complex issues to human agents
Integrate with CRM and knowledge base
Built NLP model using Rasa + spaCy for intent detection
Trained on 500+ common queries
Integrated with Zendesk ticketing system and CRM
Added multilingual capabilities (English, Arabic, Urdu)
Deployed across website and Facebook Messenger
Automated 78% of support tickets
Average response time reduced from 7 mins to 15 seconds
Customer satisfaction improved by 33%
Monthly cost savings of over $3,500 in support operations