20% OFF Hotel Booking Management System Using Python Django with ML Chatbot
Hotel Booking Management System using Python, Django, SQLite/MySQL, HTML, CSS, and JavaScript. Includes customer registration, room search and booking, booking cancellation, invoice generation, payment simulation, reviews, notifications, an admin dashboard, and an ML-powered chatbot using Scikit-learn and NLTK.
Read more- Built with
- PythonDjangoMachine LearningBootstrapHTML/CSSJavaScript
- You get
- Source codeDatabaseProject reportPPTSetup guide
- Delivery
- Instant download after payment
Project Overview
The Hotel Booking Management System Using Python Django with ML Chatbot, also known as Grand Aurora, is a web-based application developed by UPDATEGADH to manage hotel reservations, room availability, pricing, payments, and customer interactions. It combines Django-based hotel management functionality with a machine-learning chatbot that answers hotel-related questions using application data and a stored FAQ knowledge base.
Available Features
- Customer Registration and Login
- Password Reset
- Customer Profile and Avatar Management
- Room Search and Filtering by Dates, Guests, Price, Room Type, and Amenities
- Room Availability and Price Quotes
- Room Booking with Unique Booking Reference
- Booking History and Reservation Status
- Booking Cancellation and Refund Calculation
- Booking Invoice Printing
- In-App Notifications and Email Confirmations
- Prevention of Overlapping Active Bookings
- Staff Management Dashboard
- Dashboard KPI Cards and Interactive Charts
- Revenue, Booking, Occupancy, Cancellation, Rating, and Chatbot Statistics
- Room, Category, and Amenity Management
- Seasonal Pricing and Discount Code Management
- Payment Option Management
- Booking Confirmation and Guest Check-In
- Stay Completion and Payment Status Management
- Cancellation and Refund Management
- Customer Account Activation and Deactivation
- Review Moderation
- Hotel Policy, Tax, and Check-In/Check-Out Configuration
- CSV Reports for Bookings, Payments, Customers, Cancellations, and Rooms
- ML-Powered Chatbot for Hotel-Related Questions
- Room Availability, Pricing, Amenities, and Policy Queries
- Chatbot Support for Booking References and Customer Bookings
- Conversation History and FAQ Search
- Unresolved Query Records and Support Ticket Requests
- Chatbot Intent, Pattern, Response, and FAQ Management
- Chatbot Model Retraining
- Mock Payments and Pay-at-Hotel Options
- Customer Reviews and Ratings After a Stay
- Django Authentication and Role-Based Permissions
- Automated Tests
Technology Stack
- Programming Language: Python
- Framework: Django
- Database: SQLite or MySQL
- Frontend: HTML, CSS, JavaScript
- Machine Learning: Scikit-learn
- Natural Language Processing: NLTK
- Model Storage: Joblib
More Details and Full Documentation
For complete project details, screenshots, and installation instructions, visit the project page.
- Customer Registration and Authentication
- Customer Profile Management
- Room Search and Availability
- Room Pricing and Filtering
- Room Booking Management
- Booking History and Status
- Booking Cancellation and Refunds
- Invoice Generation
- Email and In-App Notifications
- Hotel Management Dashboard
- Room and Category Management
- Amenities Management
- Seasonal Pricing Management
- Discount Code Management
- Payment Management
- Guest Check-In and Stay Completion
- Customer Account Management
- Review and Rating Management
- Hotel Policy and Tax Configuration
- CSV Report Export
- ML Chatbot
- Chatbot Intent and FAQ Management
- Chatbot Training and Retraining
- Support Query Management
- Authentication and Permissions
- Automated Testing
- Install Python 3.10 or later. Python 3.12 is recommended.
- Install Visual Studio Code.
- Extract the project ZIP file and open the project folder in VS Code.
- Open the terminal in the project directory.
- Create a virtual environment:
python -m venv venv
- Activate the environment in Windows PowerShell:
venv\Scripts\Activate.ps1
- Install the required dependencies:
pip install -r requirements.txt
- Generate migrations:
python manage.py makemigrations hotel chatbot
- Apply database migrations:
python manage.py migrate
- Create an administrator account:
python manage.py createsuperuser
- Load demonstration data:
python manage.py seed_demo
- Train the chatbot:
python manage.py train_chatbot
- Start the Django development server:
python manage.py runserver
- Open the website:
http://127.0.0.1:8000/
- Open the management dashboard:
http://127.0.0.1:8000/dashboard/
- Sign in to the dashboard using the superuser account created earlier.
- To run the automated tests:
python manage.py test
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