An end-to-end AI solution designed to enhance customer experience by providing accurate, responsive, and intelligent support across digital platforms.
This chatbot system leverages natural language understanding to manage real-time conversations with users, resolve queries efficiently, and reduce the load on human agents. The integration of Dialogflow for intent recognition, FastAPI for backend communication, and MySQL for data persistence ensures high performance and scalability.
- Automated customer support through conversational AI
- Intelligent dialogue management with context awareness
- Real-time query resolution and smart fallback handling
- Easily extensible for multi-channel deployment (web, mobile, etc.)
- Python – Core development language
- Dialogflow – Natural language understanding and intent detection
- FastAPI – High-performance asynchronous web framework for backend APIs
- MySQL – Relational database for storing user sessions, chat logs, and intents
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Clone the repository
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Create and activate a virtual environment
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Install dependencies
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Configure environment variables for Dialogflow and MySQL access in a
.envfile. -
Run the FastAPI backend server
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Connect to Dialogflow using credentials JSON and test the integration via API endpoints or a UI frontend.
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- E-commerce customer query handling
- IT service/helpdesk automation
- Travel or banking chatbot solutions
- 24x7 automated support for SaaS platforms
- Multi-language support
- Admin dashboard for chat monitoring and analytics
- Sentiment analysis and feedback loop integration
- WhatsApp/Telegram channel integration
This project is released under the MIT License.