https://github.com/aj-tap/simple_hotel_booking_system

Hotel booking system web app built using django and bootstrap with basic text sentiment analysis.
https://github.com/aj-tap/simple_hotel_booking_system

booking-system bootstrap5 django python text-classification

Last synced: 2 months ago
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Hotel booking system web app built using django and bootstrap with basic text sentiment analysis.

• Host: GitHub
• URL: https://github.com/aj-tap/simple_hotel_booking_system
• Owner: aj-tap
• License: gpl-3.0
• Created: 2021-12-15T11:50:50.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-12-17T09:08:10.000Z (almost 4 years ago)
• Last Synced: 2025-06-01T15:58:17.217Z (5 months ago)
• Topics: booking-system, bootstrap5, django, python, text-classification
• Language: HTML
• Homepage:
• Size: 6.9 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Simple_Hotel_Booking_System

Note: > It's one of my college requirements. I may or may not update it as I focus on learning other things.

## How to install and run

1. Install Python 3.6+ from the official website.

2. Git clone the repository or download the zip and unzip it. 

3. Make a make a virtual enviroment and Install dependencies 

4. Make migrations and runserver, you can access it using browser http://127.0.0.1:8000/

Guide for local deployment 

```

python3 -m venv env

source env/bin/activate            

pip install -r requirements.txt

python manage.py makemigrations

python manage.py migrate

python manage.py runserver

```

## Features

* Booking Module 

* Payment Module 

* Contact Email Module. (Check django docs for setting up email api)

* Google maps api and Google account when creating an account. Insert API in (settings.py)

* Guest Ratings Sentiment-Classification (It classify ratings of guest whether it is postive or negative feedback with 89% accuracy level.)

## Todo :

- [ ] Create a function when guest check out  

- [ ] Make a ERD diagram, Flowchart, etc. 

### Home Page

![definite](https://i.ibb.co/3pNFFPq/Screenshot-2021-12-15-07-10-37.png)

### The model Classifies whether the comment is postive or negative. It will shows in Staff Page 

![input](https://i.ibb.co/ZckbCPV/Screenshot-2021-12-15-07-15-15.png)

![Result](https://i.ibb.co/tKJFbWh/Screenshot-2021-12-15-07-21-03.png)

##  Web app Demo: 

https://simplehotelreservation.herokuapp.com/

> Sentiment-classification demo app is not working on web right now . 

> I think because of the nltk.txt download. When I deploy it, I didn't run ntlk.downloader() or directory of the Review_model.pkl on heroku