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ChatBot Deployment using IBM Watson Assistant (low-code and no-code development)

Project Overview

This project involves deploying a chatbot using IBM Watson Assistant. The chatbot is designed to handle user queries and provide appropriate responses based on the configured intents and entities.

Features

  • Natural language understanding
  • Predefined and custom intents
  • Entity recognition
  • Context management
  • Multi-turn conversations

Technologies Used

  • IBM Watson Assistant
  • Node.js (for deployment)
  • Cloud services (e.g., IBM Cloud)

Setup Instructions

  1. IBM Watson Assistant Setup:

    • Create an IBM Cloud account.
    • Set up an IBM Watson Assistant service instance.
    • Create a workspace and configure intents, entities, and dialog nodes.

  2. Local Environment Setup:

    • Install Node.js and npm.
    • Clone this repository.
    • Install dependencies: npm install

  3. Deployment:

    • Follow the deployment instructions in the config/deployment_instructions.md.

Usage

Interact with the chatbot by sending messages through the provided interface. The chatbot will process the input and respond accordingly.

Screenshots/Demos

![Chatbot Interaction]Screenshot (761) https://www.linkedin.com/posts/vijaysekartg_chatbot-ibm-cloudcomputing-activity-7122562969967738880-RmER?utm_source=share&utm_medium=member_desktop!

Future Work and Improvements

  • Enhance natural language understanding capabilities.
  • Integrate with additional services (e.g., databases, external APIs).
  • Implement more complex dialog flows.

Challenges and Solutions

  • Handling ambiguous user inputs: Implemented fallback responses and improved intent recognition.

License

This project is licensed under the MIT License - see the LICENSE file for details.