Building a Conversational AI Chatbot for Tourism in Goa

Local Chapter Goa, India

Coordinated byIndia ,

Rohit Burde

Status: Completed

Project Duration: 15 Apr 2023 - 31 May 2023

Open Source resources available from this project

Github Repository

Project background.

Tourism is a vital industry for the Indian state of Goa, with millions of domestic and international tourists visiting every year. However, visitors often face challenges such as language barriers, lack of information, and difficulty navigating the local area. To address these issues and enhance the overall tourism experience, there is a need for an interactive and intelligent chatbot that can provide visitors with personalized and relevant information in real-time.

The problem.

The current tourism infrastructure in Goa lacks an efficient and effective way to provide visitors with personalized information and assistance. Traditional methods such as brochures, maps, and physical assistance are limited in their scope and availability. While the online methods are abundant and scattered with bias across the internet. Furthermore, with the increasing number of tourists every year, the existing infrastructure may not be able to cater to everyone’s needs.

Project goals.

- Identify the most common questions and requests from tourists visiting Goa. - Develop a conversational AI chatbot that can understand natural language queries and provide accurate and relevant responses. - Integrate the chatbot with existing tourism databases, APIs, and websites to retrieve and present information about hotels, restaurants, transportation, activities, and other tourist services. - Train the chatbot on historical data and user feedback to improve its accuracy and responsiveness over time. - Test the chatbot with real users and collect feedback to refine its performance and address any issues or limitations.The deliverables from this challenge include:- A functional chatbot with a natural language interface and a knowledge base of tourism-related information about Goa. - Integration with relevant databases, APIs, and websites. - An evaluation of the chatbot's accuracy, effectiveness, and user satisfaction based on user feedback and metrics. - A deployment plan for the chatbot on popular messaging platforms and websites

Project plan.

  • Week 1

    • Research existing tourism chatbots and their functionalities along with a general comprehensive study for data collection points for Goa tourism
    • Identify key features and requirements for the Goa tourism chatbot
    • Collect data for the chatbot from different sources

  • Week 2

    • Research existing tourism chatbots and their functionalities along with a general comprehensive study for data collection points for Goa tourism
    • Identify key features and requirements for the Goa tourism chatbot
    • Collect data for the chatbot from different sources

  • Week 3

    • Exploratory Data Analysis
    • Pre-process, augmentation and annotate the data for model building

  • Week 4

    • Exploratory Data Analysis
    • Pre-process, augmentation and annotate the data for model building

  • Week 5

    • Develop a chatbot architecture and user interface
    • Train the chatbot on the collected data using Natural Language Processing (NLP) techniques
    • Conduct initial testing and evaluation of the chatbot
    • Deployment of the model for testing
    • Improve the chatbot’s functionality and accuracy based on user feedback and testing results
    • Further train and refine the chatbot using additional data and advanced NLP techniques

  • Week 6

    • Develop a chatbot architecture and user interface • Train the chatbot on the collected data using Natural Language Processing (NLP) techniques • Conduct initial testing and evaluation of the chatbot • Deployment of the model for testing • Improve the chatbot’s functionality and accuracy based on user feedback and testing results • Further train and refine the chatbot using additional data and advanced NLP techniques • Optional- Implement additional features, such as multi-lingual support (if possible) and integration with social media platforms

  • Week 7

    • Conduct comprehensive testing and evaluation of the chatbot to ensure it meets all functional and performance requirements • Document the chatbot’s architecture, functionality, and usage instructions • Deploy the chatbot to a cloud server and test its performance in a production environment • Address any issues or bugs that arise during deployment and testing • Optimize the chatbot’s performance and scalability for future use • Create a final report summarizing the project’s goals, methodology, results, and future plans.

  • Week 8

    • Conduct comprehensive testing and evaluation of the chatbot to ensure it meets all functional and performance requirements • Document the chatbot’s architecture, functionality, and usage instructions • Deploy the chatbot to a cloud server and test its performance in a production environment • Address any issues or bugs that arise during deployment and testing • Optimize the chatbot’s performance and scalability for future use • Create a final report summarizing the project’s goals, methodology, results, and future plans.

Learning outcomes.

1. Natural language processing and conversation design.
2. Data retrieval and integration with APIs and databases.
3. Machine learning and AI techniques for improving chatbot performance. 4. User testing and evaluation of chatbot performance this project aims to: Data Collection and Exploratory Data Analysis Designing and Developing Chatbot Architecture Natural Language Processing (NLP) Model Development and Training Integration with Digital Platforms and Testing Evaluate Chatbot Performance and User Feedback App development

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