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Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.

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🎬 MovieMingleBot

MovieMingleBot is an Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience. This bot can handle various queries related to screening times, booking or cancelling tickets, checking the time or weather, and engaging in small talk.

Introduction

My approach to an Interactive NLP-based AI system revolves around a cinema booking system, called ‘MovieMingleBot’. This system demonstrates methodologies of cosine-similarity and TF-IDF Vectorization for information retrieval, question answering, and intent matching. The chatbot is capable of handling various types of inquiries, enhancing the user experience with clear elements of Conversational Design.

Installation

To get started with MovieMingleBot, follow these steps:

  1. Clone the repository

    git clone https://github.com/chboey/MovieMingleBot.git
  2. Navigate to the project directory

    cd MovieMingleBot
  3. Install dependencies

    pip install -r requirements.txt
  4. Run the bot

    python main.py

Usage

Once the bot is running, you can interact with it via the command line. Below are some example interactions:

  • Greeting the bot

    User: Hello!
    Bot: Hi there! How can I assist you today?
    
  • Booking a movie ticket

    User: I want to book a movie ticket.
    Bot: Sure! Which movie would you like to watch?
    
  • Checking the weather

    User: What's the weather like today?
    Bot: The weather today is sunny with a high of 25°C.
    

Features

  • 🎟️ Movie Ticket Booking: Book or cancel tickets for movies currently screening.
  • 🕒 Time Queries: Check the current time.
  • 🌦️ Weather Queries: Get the weather forecast for today, tomorrow, or the next few days.
  • 💬 Small Talk: Engage in casual conversation with the bot.

Architecture

The MovieMingleBot architecture includes the following components:

Component Description
Main Module main.py - The entry point of the bot.
Intent Recognition Uses cosine similarity and TF-IDF vectorization.
Text Preprocessing Involves tokenization, part-of-speech tagging, and named entity recognition.
User Interaction Handles user registration, login, and session management.
Transaction Management Manages movie bookings, seat availability, and cancellations.
Information Retrieval Provides details about movies using a predefined dataset.

Future Work

  • 🤖 Enhanced AI: Improve the bot's NLP capabilities for more complex queries.
  • 📱 Mobile App Integration: Develop a mobile application for easier access.
  • 🌐 Multilingual Support: Add support for multiple languages to cater to a wider audience.

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Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.

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