This project implements a chatbot using Dialogflow for scheduling appointments related to driving license or vehicle registration. Users can interact with the chatbot to book appointments, check availability, and receive confirmation details seamlessly.
-
Natural Language Processing: Utilizes Dialogflow to understand and process user queries in natural language for appointment scheduling.
-
Appointment Booking: Allows users to book appointments for services related to driving license or vehicle registration.
-
Real-time Availability: Integrates with external APIs to fetch real-time availability of appointment slots and provides immediate feedback to users.
-
Multi-platform Support: Accessible via web interfaces, providing a consistent experience across devices.
-
Dialogflow: Google's NLP platform for building conversational interfaces.
-
Backend Server: Implemented in Node.js with Express.js for handling business logic and API integrations.
-
Database: MongoDB for storing user details, appointment schedules, and other relevant data.
-
Frontend: HTML, CSS, and JavaScript with a responsive design framework like Bootstrap for building the user interface.
-
Deployment: Hosted on Google Cloud Platform (GCP) for scalability and reliability.
-
External APIs: Integration with government APIs for fetching real-time data on appointment availability.
- Clone the repository:
git clone https://github.com/Dipika2020/Appointment_schedular.git cd Appointment_schedular