Category Archives: django Projects

Bus Reservation System Project Python Django

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Bus Reservation System is a preety basic system developed in Django,SQLite,Python, which is designed to automate the online ticket purchasing through an easy online bus booking system.With the bus ticket reservation system you can manage/book reservations, clients data and passengers lists through its Django admin and book tickets effortlessly through the Bus reservation Website.

Features

  1. Built with Python 3.6, Djang0 2.0 Framework
  2. Styled using Bootstrap4
  3. Uses SQLite
  4. Sign in with the application to start using.
  5. Set up a profile about and manage your details
  6. Search for buses based on source and destination
  7. Booking buses
  8. Cancel bus reservations
  9. View buses booked and cancelled
  10. View available buses listing
  11. Login , Registration
  12. Admin Panel

Technology Used 

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  • We can configure this project on following operating system.
  • Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  • Python 2.7, PIP, Django.
  • Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Installation Steps :-

  • Install Python 3.7 Or Higher
  • Install Django version 2.2.0
  • Finally run cmd - python manage.py runserver

 

 

Hostel Management System Project in Python Django

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This particular project deals with the issues on managing a hostel and avoids the issues which occur when carried manually.Identification of the drawbacks of the prevailing system results in the designing of computerized system which will be compatible to the prevailing system with the system Which is more user friendly and more GUI oriented. We can improve the efficiency of the system, thus overcome the drawbacks of the existing system.

Features :

  1. Login System.
  2. View Room Details
  3. Book Hostel
  4. Student Registration
  5. Manage Students.
  6. Billing.
  7. User Management.
  8. Room Management.
  9. Meal management.
  10. Cost Management.
  11. Student Management.
  12. Visitor Management .

Technology Used in the project 

  • We have developed this project using the below technology
  • HTML : Page layout has been designed in HTML
  • CSS : CSS has been used for all the desigining part
  • JavaScript : All the validation task and animations has been developed by JavaScript
  • Python : All the business logic has been implemented in Python
  • SQLite : SQLite database has been used as database for the project
  • Django : Project has been developed over the Django Framework

Supported Operating System

  • We can configure this project on following operating system.
  • Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  • Python 3.7, PIP, Django 3.1.3 .
  • Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Requirements.txt File

  • asgiref==3.3.0
  • Django==3.1.3
  • gunicorn==20.0.4
  • pytz==2020.4
  • sqlparse==0.4.1\
  • whitenoise==5.2.0

Django Installation Steps :-

  • Install Python 3.7 Or Higher
  • Install Django version 3.1.3
  • Install all dependencies cmd -python -m pip install --user -r requirements.txt
  • Finally run cmd - python manage.py runserver

 

Online Job portal Project in Python Django with source code

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Online Job portal Project in Python Django with source code. This web application is to be conceived in its current form as a dynamic site-requiring constant updates both from the seekers as well as the companies.
The objective of the project is to enable jobseekers to place their resumes and find appropriate jobs while companies to publish their vacancies and find good candidates.
It enables jobseekers to post their resume, look for jobs, view personal job listings. It will provide various companies to put their vacancy profile on the location and even have an choice to search candidate resumes.
Apart from job-seekers and Companies(Job Provider) there'll be an admin module to manage complete Portal also as jobseeker and corporations .

Online Jop Portal Features

  • Administrator
  • Job Seeker
  • Job Provider
  • Job Search

System Users

  • Administrator
  • Job Seeker
  • Job Provider

ADMINISTRATOR FEATURES

Administrator can manage whole website:

  • Manage complete jobseeker section. Like: activate/deactivate/delete/ edit jobseeker’s information.
  • Admin user can view the jobseeker’s applications for each job.
  • Manage complete employer section. Admin user can activate/deactivate/delete/ edit company information.
  • Manage posted jobs. Like: activate/deactivate/delete/edit posted job.
  • Manage whole website content. Dynamic CMS is included to manage the content of the website.
  • Admin user can send message to any jobseeker or job provider.
  • Admin user can send bulk emails as well.
  • Admin user can manage the skills section. Like: Add or remove skills from the website.
  • Manage newsletters section
  • Manage success stories
  • Admin user can manage and handle the prohibited words for whole website.
  • Admin user can add/edit countries, cities, salaries range, qualification, institutes, job industries, website ads.

JOB PROVIDER / COMPANY FEATURES

After registration job provider can perform following action:

  • Add / Edit company’s profile
  • Post new job vacancies
  • Edit / Deactivate posted jobs
  • Job provider can see the list of jobseekers who has applied for the job
  • Job provider can search jobseekers
  • Job provider can see and download the jobseeker’s resume
  • Job provider can send message to any job seeker

JOB SEEKER FEATURES

After registration job seeker can perform following actions:

  • Search for jobs
  • Apply Online for desire job
  • Add/Edit profile information including qualification, experience, and skills.
  • Build his resume by using CV builder functionality of the website.
  • Upload latest resume.

MAIN WEBSITE(WEBSITE FONT END)

From main website, user can perform following actions:

  • Search jobs on the basis of skills, city, country or job title
  • Register as a jobseeker or as a job provider
  • Login to jobseeker or job provider portal
  • About Us
  • Contact us
  • Recent Jobs

Local environment Install

  1. Clone the repository and install the packages in the virtual env:pip install -r requirements.txt
  2. Add .env file.cp .env.dev.sample .env
  3. Add Github client ID and client secret in the .env file

Run

1.With the venv activate it, execute:

python manage.py collectstatic

Note : Collect static is not necessary when debug is True (in dev mode)

  1. Create initial database:python manage.py migrate
  2. Load demo data (optional):python manage.py loaddata fixtures/app_name_initial_data.json --app app.model_name
  3. Run server:python manage.py runserver

Run test:

python manage.py test

To dump data:

python manage.py dumpdata --format=json --indent 4 app_name > app_name/fixtures/app_name_initial_data.json

 

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Movie Recommendation System Project Using Collaborative Filtering, Python Django, Machine Learning

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Latest Machine Learning Project with Source Code

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( Note : Project Included with Complete Source code Database Plus Documentation, Synopsis, Report)

Recommender systems are one of the most successful and widespread application of machine learning technologies in business. You can find large scale recommender systems in retail, video on demand, or music streaming.

A Web Base user-item Movie Recommendation Engine using Collaborative Filtering By matrix factorizations algorithm and thus the advice supported the underlying concept is that if two persons both liked certian common movies,then the films that one person has liked that the opposite person has not yet watched are often recommended to him.

A recommender system is a type of information recommend movies to user according to their area of interest. Our recommender system provide personalized information by learning the user‟s interests from previous interactions with that user[2]. In pattern recognition, the knearest neighbours algorithm (k-NN) is a flexible method used for classification. In following cases, the input consists of the k closest examples in given space. If k = 1, then the object is simply assigned to the class of that single nearest neighbour.

Project Features :-

  1. User can register and login.
  2. User can search through various movies and look through its details.
  3. User can give rating to the movies.
  4. User can add movie to their watch list.
  5. User can get movie recommendation (Recommendation algorithm (Collaborative Filtering) which suggests new movies based on the ratings given by user.)

Algorithm :

Collabortive Filtering (Recommender Algorithm)

  1. Collaborative filtering filters information by using the interactions and data collected by the system from other users. It's based on the idea that people who agreed in their evaluation of certain items are likely to agree again in the future.

  2. When we want to find a new movie to watch we'll often ask our friends for recommendations. Naturally, we have greater trust in the recommendations from friends who share tastes similar to our own.

  3. Collaborative-filtering systems focus on the relationship between users and items. The similarity of items is determined by the similarity of the ratings of those items by the users who have rated both items.

  4. There are two types of collaborative filtering

    1. User-based, which measures the similarity between target users and other users.
    2. Item-based, which measures the similarity between the items that target users rate or interact with and other items.

    I have used user based collaborative filtering in this project.

Technologies Used

Web Technologies

Html , Css , JavaScript , Bootstrap , Django

Machine Learning Library In Python3

Numpy , Pandas , Scipy

Database

SQLite

Requirements
python 3.7

pip3

virtualenv

Installation

pip install -r requirements.txt --user

Run server locally

$ python manage.py runserver

Go to localhost:8000

  1. Admin email - admin@admin.com
  2. admin pass - admin

Read Before Purchase  :

  1. One Time Free Installation Support.
  2. Terms and Conditions on this page: https://projectworlds/terms
  3. We offer Paid Customization installation Support
  4.  If you have any questions please contact  Support Section
  5. Please note that any digital products presented on the website do not contain malicious code, viruses or advertising. You buy the original files from the developers. We do not sell any products downloaded from other sites.
  6. You can download the product after the purchase by a direct link on this page.

Online Voting System in django Python | Django Poll

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Django poll app is a full featured polling app. You have to register in this app to show the polls and to vote. If you already voted you can not vote again. Only the owner of a poll can add poll , edit poll, update poll, delete poll , add choice, update choice, delete choice and end a poll. If a poll is ended it can not be voted. Ended poll only shows user the final result of the poll. There is a search option for polls. Also user can filter polls by name, publish date, and by number of voted. Pagination will work even after applying filter.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Latest Python Projects with source code

Prerequisites

python== 3.5 or up and django==2.0 or up

Installing

open terminal and type

onal in project directory and type

python manage.py makemigrations
python manage.py migrate

To use admin panel you need to create superuser using this command

python manage.py createsuperuser

To run the program in local server use the following command

python manage.py runserver

Then go to http://127.0.0.1:8000/home in your browser

 

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Online Assignment Submission Project on Python Django

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Online Assignment Submission Project on Python Django is a system that enable the student to submit their assignment or project online without submitting any physical file. The proposed system helps reducing and minimizing human error, capable to assist supervisors in process controlling and managing students. During lockdown its very help full project.

Functional requirements to explain

  1. identity:administrator, teacher, teaching assistant, student (each person has their own school ID number, within 10 digits, there can be letters, and everyone has a password)
  2. Administrator: issue questions, delete questions 、Teacher information management, class organization (a teaching class has a main teacher, there can be no teaching assistant, or more than one teaching assistant)
  3. Teachers: teaching assistant management (specify the teaching assistant's authority), class management, problem setting, assignment assignment, corrective assignment, statistics job completion
  4. Assistants: rights specified by the teacher to complete all or part of the work, classroom management, the question, assignments, correcting homework, work statistics completion
  5. Students: complete and submit the Assignment.

Technology Used in the project Online Assignment Submission 

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 2.7, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Online Assignment Submission Project on Django Installation Steps :-

  1. Install Python 3.7 Or Higher
  2. Install Django version 2.2.0
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

Student Login Details :

username: student@2
password: visg123456

teacher  Login Details :

username: teacher@2
password: visg123456

Admin  Login Details :

Link - http://127.0.0.1:8000/admin
username: visg
password: visg123456