Hotel Management System Project

Hotel Management System Project

The Hotel Management System is a hotel management project developed using Python Django, SQLite, Bootstrap 5, and scikit-learn. It has five panels for Admin, Manager, Receptionist, Staff, and Customer.

The project includes a custom admin panel without using Django Admin. It also uses machine learning for room recommendations, smart pricing, booking predictions, customer analytics, personalised offers, chatbot responses, and review analysis.

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Project Overview

Project Details:

Project Name: Hotel Management System
Frontend: Bootstrap 5
Backend: Python Django
Database: SQLite
Machine Learning: scikit-learn
User Roles: Admin, Manager, Receptionist, Staff, Customer

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What Are the Features of the Hotel Management System?

The project provides the following features for Hotel Management System:

• Room Search: Search rooms by dates, guests, price, facilities, and view.
• Room Availability: View room details with an availability calendar.
• Customer Booking: Book rooms, pay deposits, and cancel bookings within the free cancellation period.
• Room Service: Customers can request room service.
• Reservation Management: Create, modify, cancel, and manage hotel reservations.
• Check-in and Check-out: Manage guest arrivals and departures.
• Payment Management: Handle payments, invoices, and receipts.
• Housekeeping Management: Manage room cleaning and room readiness.
• Maintenance Management: Handle repair jobs and maintenance requests.
• Pricing and Offers: Manage room prices and special offers.
• Notifications: Send notifications to customers.
• AI Room Recommendation: Suggest rooms based on customer preferences.
• Smart Pricing: Uses Gradient Boosting to predict room rate multipliers.
• Booking Prediction: Predicts occupancy using calendar features and booking data.
• Customer Analytics: Uses K-means clustering to analyse customer booking patterns.
• Personalised Offers: Scores offers based on customer history.
• AI Chatbot: Uses TF-IDF and Logistic Regression to answer customer queries.
• Review Sentiment Analysis: Analyses customer reviews using machine learning.

What Are the Project Modules?

The Hotel Management System contains five main modules: Admin Panel, Manager Panel, Receptionist Panel, Staff Panel, and Customer Panel.

Admin Panel

• Dashboard: Admin can access Hotel Management System features and system information.
• User Management: Admin can manage users of every role.
• Room Management: Admin can manage room categories, rooms, and facilities.
• Menu Management: Admin can manage hotel menus.
• Payment and Invoice Management: Admin can manage payments and invoices.
• Offers: Admin can manage hotel offers.
• Notifications: Admin can send notification broadcasts.
• Chatbot Management: Admin can manage chatbot intents.
• Policies and Settings: Admin can manage hotel policies and settings.

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Manager Panel

• Room Board: Manager can view and manage room information.
• Shift Management: Manager can manage staff shifts.
• Housekeeping: Manager can oversee housekeeping activities.
• Maintenance: Manager can oversee maintenance work.
• Pricing and Offers: Manager can manage room pricing and offers.
• Reviews: Manager can view and reply to customer reviews.
• Reports: Manager can access hotel reports.
• AI Centre: Manager can access AI features and retrain machine learning models.

Receptionist Panel

• Dashboard: View guest arrivals and departures.
• Guest Registration: Register hotel guests.
• Reservation Management: Create, modify, and cancel reservations.
• Check-in and Check-out: Manage guest check-in and check-out.
• Payments and Invoices: Handle payments and invoices.
• Availability Grid: View room availability.
• Guest Requests: Manage guest requests.

Staff Panel

• Task List: View assigned tasks through a phone-friendly interface.
• Housekeeping Tasks: Clean rooms and update room readiness.
• Repair Jobs: Handle maintenance and repair tasks.
• Guest Requests: Manage guest requests.
• Orders: Handle guest orders.
• Maintenance Reports: Report maintenance issues.

Customer Panel

• Registration and Login: Customers can create accounts and log in.
• Profile and Preferences: Manage customer profiles and preferences.
• Room Booking: Search and book available rooms.
• Deposit Payment: Pay booking deposits using the demo card form.
• Booking Cancellation: Cancel bookings within the free cancellation period.
• Room Service: Submit room service requests.
• Requests: Manage customer requests.
• Invoices and Receipts: View invoices and receipts.
• Reviews: Submit hotel reviews.
• Notifications: Receive booking and other notifications.

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How Does the Hotel Management System Work?

• The system does not allow overlapping bookings.
• Room charges, nights, taxes, discounts, and totals are calculated when a reservation is saved.
• After check-out, the system creates a cleaning task and invoice.
• Room status is updated according to bookings, housekeeping, and maintenance.

What AI and Machine Learning Features Are Included?

The projectHotel Management System includes the following AI and machine learning features:

Feature	Method	Training Data
Room Recommendation	Content similarity and item co-booking	Rooms, stays, ratings, profiles
Smart Pricing	Gradient Boosting	Historical reservation rates
Booking Prediction	Gradient Boosting	Daily occupancy history
Customer Analytics	K-means clustering	Reservations and services
Personalised Offers	Offer scoring	Customer history
Chatbot	TF-IDF and Logistic Regression	ChatIntent examples
Review Sentiment	TF-IDF and Logistic Regression	Rated reviews

How to Download

The complete package is available so you can run, study, and submit it with confidence.

Screenshot

How to Install the Hotel Management System?

Installation Guide

• Step 1: Install Python 3.10 or newer from python.org. Select Add python.exe to PATH during installation.
• Step 2: Install VS Code and its Python extension.
• Step 3: Extract the project ZIP file.
• Step 4: Open VS Code and select File → Open Folder. Choose the Hotel Management System folder.
• Step 5: Create and activate a virtual environment: python -m venv .venv
  .venv\Scripts\activate
• Step 6: Install the required packages: pip install -r requirements.txt
• Step 7: Create migrations and set up the database: python manage.py makemigrations hotel
  python manage.py migrate
• Step 8: Add demo data:python manage.py seed_data
• Step 9: Train the machine learning models:python manage.py train_models
• Step 10: Run the project: python manage.py runserver

127.0.0.1:8000

Demo Login Credentials

Password for all demo accounts: Hotel@123

Role	Username
Administrator	admin
Manager	manager, manager2
Receptionist	reception, reception2
Housekeeping Staff	housekeeper1, housekeeper2, housekeeper3
Maintenance Staff	maintenance1, maintenance2
Restaurant Staff	restaurant1, restaurant2
Customer	guest, customer01 to customer60

Frequently Asked Questions (FAQs)

1. Which technologies are used in this Hotel Management System project?

The project uses Python, Django, SQLite, Bootstrap 5, and scikit-learn.

2. How many user panels are available?

There are five panels: Admin, Manager, Receptionist, Staff, and Customer.

3. Does this project use Django Admin?

No. The project has its own custom admin panel.

4. Which AI features are available?

The Hotel Management System project includes room recommendations, smart pricing, booking prediction, customer analytics, personalised offers, a chatbot, and review sentiment analysis.

5. What is a hotel management system project?

A Hotel Management System project is a software application designed to computerize, track, and automate the daily operations of a hotel or lodging facility. 

Final Thoughts

The Hotel Management System is a Django project that combines hotel booking, room management, staff management, and machine learning features. It provides five different panels and several AI features for managing hotel activities.