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CONVERSATIONAL AI · NLP · USER EXPERIENCE

IBM Watson Assistant Chatbot

A graduate applied-AI project focused on designing a structured conversational experience for self-service support.

Recreated IBM Watson Assistant chatbot dashboard
Portfolio visualization recreated with sample or illustrative data to demonstrate the project’s analytical approach.

OBJECTIVE

Create a chatbot capable of recognizing user goals and guiding users through clear, consistent conversational paths.

APPROACH

Defined intents and entities, designed dialog nodes and fallback behavior, tested representative user statements, and refined responses to improve clarity and conversational flow.

ANALYTICAL VALUE

Showed how conversational AI can organize frequently requested information, reduce friction, and create a more consistent self-service experience.

SKILLS SHOWN

Conversational design, intent classification, entity design, dialog logic, testing, and user-centered communication.

TOOLS

IBM Watson AssistantNLPIntent DesignConversational AI
Visualization note: The visual above is a portfolio reconstruction based on the project methods and deliverables. It is provided to demonstrate the analysis without reproducing restricted course or organizational materials.