Wednesday, 3 March 2021

Black Friday Sales Prediction project with source code | Machine Learnin...


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Black Friday Sales Prediction project with source code . In this project, we are getting to predict what proportion the purchasers will spend during Black Friday, using various features like age, gender, legal status . The dataset we are going to use is the Black Friday dataset from Kaggle which contains about 550068 rows and 12 features that can be downloaded here. We will follow all the steps of a Data Science lifecycle from data collection to model deployment.

This Project contains a jupyter notebook file used to train a CatBoostRegressor model for predicting the amount of sales on a black friday based on several feautures.
The model was then integrated into a flask web application

Technologies Used

Web Technologies

Html , Css , JavaScript , Bootstrap , Django

Machine Learning Library In Python

Numpy , Pandas , Scipy
matplotlib
scikit-learn
seaborn

Dataset Link: https://www.kaggle.com/c/black-friday/data

Training Model File 

model.ipynb

model-checkpoint.ipynb

Output Generated File

catBoost.pkl

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.

Monday, 1 March 2021

Bus Reservation System Project Python Django


Buy Now ₹501

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

Wednesday, 24 February 2021

Online Food Ordering Project JAVA , JSP, MYSQL Using Netbeans


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An online food ordering system JAVA JSP MYSQL is a web-based application that stimulates the foodies (customers) to put food orders through internet by locating their favorite restaurant or nearest one.  This application is based on the JAVA, JSP (Java Server Page ), MYSQL  platform.

The online food ordering system JAVA JSP MYSQL provides convenience for the customers. It overcomes the disadvantages of the traditional queuing system. This system increases the takeaway of foods than visitors. Therefore, this system enhances the speed and standardization of taking the order from the customer. The online food ordering system JAVA JSP MYSQL set up menu and the customers easily places the order with a simple mouse click. This system allows the user to select the desired food items from the displayed menu. The use r’s details are maintained confidential because it maintains a separate account for each user. An id and password is provided for each user. Therefore it provides a more secured ordering.

Modules and their requirements :-

User Module :

  • Login
  • Registration
  • View Menu
  • Order
  • Order History
  • Feedback

Admin Module :

  • Login
  • View Menu
  • Add Menu Item
  • Delete Menu
  • View All User
  • View All Order
  • View All Feedbacks
  • View Specific User all Order

 

Software Requirements

Technology used:

  • Front end – JSP
  • Backend – MYSQL

Software:

  •  IDE - Netbeans 8.2
  •  Database support - MySQL 5.7
  •  Operating system – Windows 8 and above
  •  Server deployment - Glassfish server

Technology:

  • HTML is integrated in JSP. It provides a means to structure text based information in a document. It allows users to produce web pages that include text, graphics and
    hyperlinks.
  •  Javascript is a scripting language which supports the development of both client and server applications. It is preferred at client side to write programs that can be
    executed by a web browser within the context of a web page.
  •  CSS(Cascading Style Sheets) is a style sheet language used for describing the presentation of a document written in a markup language. Although most often used to set the visual style of web pages and user interfaces written in HTML and XHTML, the language can be applied to any XML document,
  •  SQL is the language used to manipulate relational databases. It is tied closely with the relational model. It is issued for the purpose of data definition and data
    manipulation.
  • Java Server pages is a simple yet powerful technology for creating and maintaining dynamic-content web pages. It is based on the Java programming language. It can be thought of as an extension to servlet because it provides more functionality than servlet A JSP page consists of HTML tags and JSP tags. The jsp pages are easier to maintain than servlet because we can separate designing and
    development.

We require a JDBC connection between the front end and back end components to write

to the database and fetch required data.

Buy Now ₹501

Monday, 8 February 2021

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 IN PYTHON DJANGO


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

 

Download Link 

Wednesday, 27 January 2021

Payroll Management System Project in PHP with Source Code


BUY NOW ₹501

Payroll Management System Project in PHP with Source Code . This system is meant to supply the power to line up all the tasks of employee payment. At first, the user has got to undergo login system to urge access, then the user can add, list, update and take away the employee’s record. This system deals with the financial aspects of employee’s Salary, Deductions, allowances, Net pay. The user can view the account of each and every employee’s and update their payments, and the user can also manage deductions, modify overtime and salary rate. Each and every detail about employee’s payment is displayed which includes: Name with deduction, overtime, bonus and net pay. This system makes easier to the user for managing payroll system as it is not time-consuming. This project is not difficult to operate and understood by the users.

Features Payroll Management System Project

  • Login System
  • Add, Edit, Remove, View Employees record
  • Manage Department
  • Employee Personal Details
  • Employee Company Details
  • Add Payslip
  • Mange Payslip
  • PDF Format Payslip Generate
  • Settings
  • Manage Bonus and Deductions
  • List Income
  • Manage Over Time and Salary Rates

Brief overview of the technology:

Front end: HTML, CSS, JavaScript

  1. HTML: HTML is used to create and save web document. E.g. Notepad/Notepad++
  2. CSS : (Cascading Style Sheets) Create attractive Layout
  3. Bootstrap : responsive design mobile freindly site
  4. JavaScript: it is a programming language, commonly use with web browsers.

Back end: PHP, MySQL

  1. PHP: Hypertext Preprocessor (PHP) is a technology that allows software developers to create dynamically generated web pages, in HTML, XML, or other document types, as per client request. PHP is open source software.
  2. MySQL: MySql is a database, widely used for accessing querying, updating, and managing data in databases.

Software Requirement(any one)

  • WAMP Server
  • XAMPP Server
  • MAMP Server
  • LAMP Server

Installation Steps

1. Download zip file and Unzip file on your local server.
2. Put this file inside "c:/xamp/htdocs/" .
3. Database Configuration
Open phpmyadmin
Create Database named payroll_system.sql
Import database art_gallry.sql from downloaded folder(inside database)
4. Open Your browser put inside "http://localhost/Projectworlds Payroll Management System/"

Courier Management System Project in PHP


Buy Now ₹501

Courier Management system Project in PHP  . In this project, you can simply perform the  operations to manage the couriers and the parcels. . You can log in as the system admin and also can add and delete the Courier. you can also Update Status for courier delivered or not .

Courier Management System is the simplest solution for Courier & Cargo Tracking Business.
This Courier Management System project will have different modules.
The login section will have login facility for the admin who will operate this system and online tracking system of consignment and shipping detail for domestic shipping.
While taking orders from its customers, it will take all the details of its customers who is placing the orders and all the details for the recipient such as its address,name,mobile number.

During billing process, system generates a consignment number for their products. Through this consignment no. customers or its recipient will able to track their products from any location using internet.

It will provide status of the product after placing orders.

This Courier Management System project will provide information recipient with following detail – where the current consignment is,till when it will reached its final destination, date of placing consignment , final date to reach its destination etc

 

Actors /Users of the System

  1. Admin
  2. Customers

ADMIN

  • Login
  • Admin can manage & update whole data
  • Manage Shipment
    1. Add Shipper info, Receiver info and Shipment info.
    2. Edit/Update Shipment
    3. List all Shipment
    4. Search By Consignment Number
  • Reports of the project
    1. Report of all customer
    2. Report of all consignment
    3. Report of all shipper
    4. Report of all pickup Date/Time
    5. Report of all status

 

Customers(Users)

  • With Limited Access
  • Users can check status of their product after placing orders.

Brief overview of the technology: Online Examination System in PHP

Front end: HTML, CSS, JavaScript

  1. HTML: HTML is used to create and save web document. E.g. Notepad/Notepad++
  2. CSS : (Cascading Style Sheets) Create attractive Layout
  3. Bootstrap : responsive design mobile freindly site
  4. JavaScript: it is a programming language, commonly use with web browsers.

Back end: PHP, MySQL

  1. PHP: Hypertext Preprocessor (PHP) is a technology that allows software developers to create dynamically generated web pages, in HTML, XML, or other document types, as per client request. PHP is open source software.
  2. MySQL: MySql is a database, widely used for accessing querying, updating, and managing data in databases.

Software Requirement(any one) : Online Examination System in PHP

  • WAMP Server
  • XAMPP Server
  • MAMP Server
  • LAMP Server

Installation Steps

1. Download zip file and Unzip file on your local server.
2. Put this file inside “c:/xampp/htdocs/” .
3. Database Configuration
Open phpmyadmin
Create Database named courier_db.
Import database courier_db.sql from downloaded folder(inside database)
4. Open Your browser put inside “http://localhost/Projectworlds Courier Management Sytem in PHP Mysql/

Sunday, 24 January 2021

Fake Product Review Detection using Machine Learning


Buy Now ₹1501

Online reviews play a very important role for decision-making in today's e-commerce. Large parts of the population, i.e. customers read product or store reviews before deciding what to buy or where to buy and whether to buy or not. Because writing fake / fraudulent reviews comes with monetary gain, online review websites there has been a huge increase in tricky opinion spam. Basically, an untruthful review is a fake review or fraudulent review or opinion spam. Positive reviews of a target object can attract more customers and increase sales; negative reviews of a target object can result in lower demand and lower sales. Fake review detection has attracted considerable attention in recent years. Most review sites, however, still do not filter fake reviews publicly. Yelp is an exception that over the past few years

has filtered reviews. Yelp's algorithm, however, is a business secret. In this work, by analyzing their filtered reviews, we try to find out what Yelp could do. The results will be useful in their filtering effort for other review hosting sites. Filtering has two main approaches: supervised and unmonitored learning. There are also about two types in terms of the characteristics used: linguistic characteristics and behavioral characteristics. Through supervised learning approach we have tried to make a model which can identify the fake review with almost 70 percent accuracy.

As the Internet continues to grow in size and importance, the quantity and impact of online reviews is increasing continuously. Reviews can influence people across a wide range of industries, but they are particularly important in e-commerce, where comments and reviews on products and services are often the most convenient, if not the only, way for a buyer to decide whether to buy them.

 

Model training

Refer to the Jupyter notebooks in research folder to know the steps taken for preprocessing, model development and algorithms used. Although we experemented with different models, we found Naive Bayes to be most accurate with F1 score of 77%. 

Installing and running this app:

  1. Requirements: Use pip install/conda install to download following packages
  • Numpy, pandas
  • sklearn
  • spacy
  • Django 2.1
  • pickle
  • tqdm
  1. running the app:
  • Go to folder containing manage.py and run command: python manage.py runserver
  • Once the server starts, open browser. The app runs on http://127.0.0.1:8000/
  • fake_reviews.txt and real_reviews.txt contains some reviews that can be used to test the working of model.

Thursday, 21 January 2021

Fake News Detection using Machine Learning | Natural Language Processing...


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Fake News Detection using Machine Learning Natural Language Processing . A NLP and Machine Learning based web application used for detecting fake news. Uses NLP for preprocessing the input text. Uses XGBoost model for predicting whether the input news is Fake or Real.

here are tons of stories articles, where the news is fake or cooked up. With numerous advances in tongue Processing and machine learning, we will actually build an ml model which is in a position to detect if a bit of stories ... Here we'll be using artificial neural network models to verify the genuinity of the article.

Technologies Used

Web Technologies

Html , Css , JavaScript , Bootstrap , Django

Machine Learning Library In Python3

Numpy , Pandas , Scipy
matplotlib
scikit-learn
seaborn

Database

SQLite

Dataset Link: https://www.kaggle.com/c/fake-news/data

Training Model File 

Fake_News_Classifier_Using_LSTM.ipynb

Fake_News_Classifier_using_Machine_Learning.ipynb

Output Generated File

xgb_fake_news_predictor.pkl