Old Book Sell and Buy Project in Python Django

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Buy Source Code ₹501

The Old Book Sell and Buy platform is a web-based application designed to facilitate the buying and selling of used books. The platform aims to provide an easy-to-use interface for users to list their old books for sale and for buyers to find and purchase second-hand books at affordable prices.

Objectives

  • To provide a user-friendly platform for buying and selling used books.
  • To reduce waste by promoting the reuse of books.
  • To offer a convenient and efficient way to manage book listings and transactions.

Features

User Features

  • User Registration and Authentication: Secure sign-up and login using email/password or social media accounts.
  • Profile Management: Users can update their profile information, including contact details and address.
  • Book Listing: Users can list books for sale by providing details such as title, author, condition, price, and images.
  • Search and Filter: Buyers can search for books by title, author, genre, price range, etc.
  • Book Details: Detailed view of book listings with images, descriptions, and seller information.
  • Cart and Checkout: Buyers can add books to their cart and proceed to checkout for payment.
  • Order Management: Sellers can manage their listings and view orders. Buyers can track their purchases.
  • Reviews and Ratings: Users can leave reviews and ratings for books and sellers.

Admin Features

  • User Management: Admins can manage user accounts, including activation, deactivation, and deletion.
  • Book Management: Admins can manage book listings, including approval, editing, and deletion.
  • Transaction Management: Admins can oversee transactions and handle disputes.
  • Reports and Analytics: Admins can view reports on sales, user activity, and more.

Technologies Used

  • Frontend: HTML, CSS, JavaScript, Bootstrap for responsive design.
  • Backend: Python, Django framework.
  • Database: SQLite (development) and PostgreSQL/MySQL (production).
  • Authentication: Django Allauth or custom authentication system.

Production Management System Laravel

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Producttify is a production management system build to simplify production or manufaturing process. Productify is lightweight, secure, and fast and based on Laravel. This system can be used for any manufacturing company such as garments factories, food factories, medicine industries, etc. This system can be a very useful and valuable asset for any manufacturing company.

Light Landing page

 

For Live Demo & Enquiry  :

Call/WhatsApp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 3 months support included

Web Hosting Billing | Domain | Hosting | Affiliate

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Introducing InHostBilling: Your Next-Gen, Intuitive Web Hosting Automation Solution

Say goodbye to monthly fees, hidden charges, and encryption woes! With InHostBilling, you get a lifetime subscription at an unbeatable price. Our platform revolutionizes the web hosting industry with its smart, easy-to-use features designed to streamline your business operations worldwide.

InHostBilling offers everything you need to automate your web hosting venture efficiently. From effortless creation of hosting accounts to seamless management of services, we’ve got you covered. With automated integrations with leading servers, cPanel, Namecheap, InHostBilling is the epitome of next-generation web hosting and domain automation software.

Experience the future of web hosting automation with InHostBilling – empowering individuals and corporations alike to thrive in the web hosting business landscape.

Features : -

  • Client Management:
    • Efficiently manage client accounts and details.
  • Payment Management:
    • Handle payments from clients securely and conveniently.
  • Order Management:
    • Organize and track orders placed by clients.
  • Invoice Management:
    • Generate and manage invoices for services rendered.
  • Cancellation Management:
    • Process cancellations and manage associated tasks.
  • Support Ticket Management:
    • Address client inquiries and issues through a ticketing system.
  • Report Management:
    • Generate and analyze reports for business insights.
  • System Settings:
    • Customize system settings to align with business requirements.
  • Template Management:
    • Manage templates for various aspects of the system.
  • Contact Management:
    • Maintain a database of contacts for communication purposes.
  • Domain Section Management:
    • Handle domain-related operations and configurations.
  • FAQ Section Management:
    • Manage frequently asked questions for client reference.
  • Footer Section Management:
    • Customize footer sections of the system.
  • Invoice Address Management:
    • Manage addresses for invoice delivery.
  • Policy Page Management:
    • Update and manage policy pages for clients.
  • Service Section Management:
    • Organize and update service-related information.
  • Subscribe Section Management:
    • Manage subscription-related content and options.
  • General Settings Configuration:
    • Configure general settings for the system.
  • System Configuration:
    • Customize system configurations for optimal performance.
  • Billing Settings Configuration:
    • Configure billing settings to streamline payment processes.
  • Service Categories Configuration:
    • Customize service categories according to business offerings.
  • Payment Gateway Configuration:
    • Integrate and configure various payment gateways for transactions.
  • Server Group Configuration:
    • Set up and manage groups of servers for efficient operations.
  • Server Configuration:
    • Configure individual servers for hosting services.
  • Domain Pricing/TLDS Configuration:
    • Set pricing and configurations for domain services.
  • Domain Registrar Configuration:
    • Integrate and manage domain registrars for domain operations.
  • Product/Service Configuration:
    • Configure products and services offered by the system.
  • Coupon Configuration:
    • Set up and manage coupon codes for promotions.
  • Order Configuration:
    • Customize order processes and workflows.
  • Invoice Configuration:
    • Configure invoice settings and templates.
  • Logo & Favicon Management:
    • Upload and manage logos and favicons for branding.
  • Additional Functions:
    • Explore the app for more functions and features tailored to your needs.

What you will get ?

  • Project Source code
  • Full documentation

Requirement

  • PHP Version 7.4 to 8.1
  • Required Domain or Subdomain
  • Need Any Web hosting to Run this
  • Need Android Studio to Setup Android App

Framework and Language

  • App – Kotlin, XML, Java
  • Website :- PHP with CodeIgniter Framework

Disclaimer

  • Required Domain or subdomain configuration for the setup panel

For Live Demo & Enquiry  :

Call/WhatsApp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 3 months support included

Money Pro – Cashflow and Budgeting Manager

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Track Money flexibility, Easy and efficient track income, and expense. Plan your monthly budget with a budget planner & achieve your goals or dream easily with a goals tracker. Show report with rich reports function from income, expense, goals, account transactions and compare your income vs expense easily.

FEATURES

  • Standalone application (not SAAS version)
  • Income Tracking
  • Budget Management
  • Manage all accounts in one place
  • Track your spending on the go
  • Rich Reports
  • Save Money for Goals
  • Expense Tracking
  • Expense VS Income
  • Budget Vs Actual
  • Upcoming Income
  • Upcoming Expense

For Live Demo & Enquiry  :

Call/WhatsApp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 3 months support included

All-in-one Pet Care Solution in Flutter + Laravel with ChatGPT

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Pawlly revolutionizes the world of pet care services with its comprehensive and user-friendly platform. Catering to every aspect of pet care, including veterinary services, training, walking, grooming, boarding, and daycare, Pawlly stands as the ultimate solution for pet owners seeking top-notch care for their furry companions.

The Pawlly ecosystem comprises three seamlessly integrated components: a dynamic customer mobile app, an efficient employee app, and a robust admin panel. The customer app empowers pet owners to effortlessly schedule appointments for their pets, manage multiple pets within a single booking, and select from a range of services offered. The employee app enables service providers to access their schedules, manage events and blogs, and engage with clients professionally.

At the heart of Pawlly lies the advanced admin panel, built using the Laravel 9 and Vue.js 3 technologies. The admin panel serves as the nerve center, allowing administrators to oversee employees, customers, and their pets. It facilitates efficient management of employee earnings, customer reviews, events, blogs, and notification settings. With an emphasis on data security, roles and permissions can be finely tuned to ensure optimal access control. The admin panel further offers comprehensive booking management tools, empowering administrators to orchestrate seamless service delivery.

The financial aspect is elegantly handled through a commission-based model. Admins earn a commission from each booking, while employees receive their due share. The payout process is simplified with manual disbursements initiated from the admin panel. A suite of detailed reports provides insights into earnings and payouts, ensuring transparency and accountability.

Pawlly is designed with a global audience in mind. It supports multiple languages including Arabic, French, Hindi, German, and English. The mobile apps and admin panel offer both dark and light modes to suit user preferences, enhancing usability and accessibility.

Customization is at the core of the Pawlly experience. The admin panel features the power of Hope UI, an open-source, enterprise-grade admin template. This integration empowers administrators to personalize the platform’s appearance, including colors, menu styles, and card designs, without the need for developer intervention. Business information, logos, mail settings, and time zones can be effortlessly managed through the admin panel’s intuitive settings interface.

Incorporating cutting-edge technology, such as OneSignal for push notifications and multiple payment gateways for online transactions, Pawlly ensures a seamless and secure user experience.

Discover Pawlly today and redefine the way you engage with pet care services. Experience convenience, customization, and compassion, all in one app.

Air Quality Index Prediction Using PM 2.5 value Machine Learning

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India is one of the higher air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.

Data Collection

  • Air quality data was collected from the "http://en.tutiempo.net/climate". So, here I selected the India- Bangalore'sregion & collected the independent features such as Average annual temperature(AT), Annual average maximum temperature(TM), Average annual minimum temperature(Tm), Rain or snow precipitation total annual(PP), Annual average wind speed(V), Number of days with rain(RA), Number of days with snow(SN) and dependent feature as PM 2.5 values has been colected from the "dhewdhjwdhjw"

  • The dataset used can be downloaded Here from the 2013 to 2018.

Technologies Used :

  1. IDE - Pycharm
  2. Linear Regression Model
  3. Ridge and Lasso Regression
  4. Support vector regressor(SVR)
  5. Extra tree regressor
  6. Decission tree regressor
  7. Google Colab - Trained ML model
  8. Flask- Rest API

Installation Step : -

  1. python 3.8.0
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py

Download Link 

Predict the Earlier Stages of Alzheimer’s disease Machine Learning

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The objective of this project is to develop a predictive model that can identify the early stages of Alzheimer’s disease (AD). Early diagnosis of AD can significantly improve the effectiveness of treatment and management strategies, potentially slowing the progression of the disease. This project will leverage machine learning techniques on various data sources, such as medical imaging, genetic data, and cognitive test results, to create an accurate and reliable prediction system.

Background and Motivation

Alzheimer's disease is a progressive neurodegenerative disorder that affects millions worldwide, leading to memory loss, cognitive decline, and ultimately loss of independence. Early diagnosis is crucial but challenging due to the subtlety of initial symptoms. Current diagnostic methods rely heavily on clinical assessment and are often made at advanced stages. By predicting the onset of AD in its early stages, we can provide better intervention options, potentially improving the quality of life for patients and reducing healthcare costs.

Technology Used in the project :-

  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. Flask: Project has been developed over the Flask 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 3.7, 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.

Installation Step : -

  1. python 3.8.0
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py

Download Link