Let’s talk

AI Travel Bot

  • #Text Detection

Developed chatbot using DialogFlow, NER, custom classification, and full-cycle dialog.

  • Natural Language Processing

Impact

We created a chatbot using Google Dialog Flow framework, implemented NER solution to recongize correct entities in messages, custom classification model to categorize
the type of messages, and full-cycle dialog system.

Services we provided

Create a bot to answer user’s questions about travelling

Deployed solution on AWS

Tech Stack

Pandas

NumPy

Scikit-Learn

Google Cloud

Data flow

Apache beam

Challenges and Solutions

🧐 Challenges

Developing a chatbot capable of understanding and responding accurately to various travel-related queries.

💡 Solutions

Implemented a chatbot using Google Dialog Flow framework, integrated a Named Entity Recognition (NER) solution to recognize relevant entities in messages, utilized a custom classification model to categorize different types of messages, and created a full-cycle dialog system for seamless interactions. Deployed the solution on AWS.

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