✈️Multilingual Chatbot Ticket Booking System 🎟️🤖

📚Table of Contents

• About the Project
• Features
• Installation
• Tech Stack
• Usage
• Deployment
• Screenshots
• Contributing
• License
• Contact

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🚦About the Project

This project is a Multilingual Chatbot Ticket Booking System that allows users to:

• Book tickets
• View museum items (3D models)
• Chat with a chatbot for assistance
• Choose the language they prefer for the web app interface

The chatbot is integrated with predefined responses and can assist users with booking tickets or answering common queries about services.

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📖Features

• 📌Multilingual support: Users can select their preferred language.
• 📌Chatbot Integration: A chatbot to assist users with ticket booking and FAQs.
• 📌Museum 3D Item Viewer: A section where users can view 3D models of museum items.
• 📌User Authentication: Users can log in and register to manage bookings.
• 📌Flask and PostgreSQL Integration: Ticket bookings are stored and managed in a PostgreSQL database.
• 📌Responsive Design: The web app is mobile-friendly and works across devices.

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👀Demo

You can view a live demo of the application here.

📍Installation

To get a local copy of the project up and running, follow these steps:

📍Prerequisites

• Python 3.12 or higher
• PostgreSQL database

🔖Setup Instructions

1. Clone the repository

   git clone https://github.com/AdityaSrivastavDS/Multilingual-Chatbot-Ticket-Booking-System

2. Navigate to the project directory

   cd multilingual-chatbot-ticket-booking-system

3. Install the required Python packages

   pip install -r requirements.txt

4. Set up your PostgreSQL database

   Set up your PostgreSQL database on Render or locally. Add your database URL in the .env file:

   DATABASE_URL=your_postgresql_url_here

5. Run the Flask app

   python app.py

6. Open your browser

   Go to http://localhost:5000.

🔖Tech Stack

• Backend: Flask (Python), Render (for PostgreSQL database hosting)
• Frontend: HTML, CSS, JavaScript
• Database: PostgreSQL
• Chatbot: Transformers (with predefined responses or AI-powered chatbot)
• 3D Models: Integrated viewer for 3D museum items

🔖Usage

• 📌Homepage: Users can browse and book tickets or view museum items.
• 📌Chatbot: Available to assist users with booking and answering common queries.
• 📌User Authentication: Users can log in or sign up to manage their bookings.

📓Deployment

The app is deployed using Vercel for the frontend and Render for the PostgreSQL database.

📓Steps to Deploy

1. Set up the environment variables on Vercel.
2. Connect your project’s GitHub repository to Vercel.
3. Configure Render for PostgreSQL and add the DATABASE_URL to Vercel's environment variables.

📓Contributing

Contributions are welcome!

📜License

Repository protected through License .