BLUEPOS – Android Mobile Point of sale (POS) With Admin Backend API

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BluePOS is an android-based online cashier point of sale application with php admin backend API, with BluePOS you can make quick records for sales (Point of sale), manage customer data, manage inventory data, manage employees and access employee (roles), manage purchases (cost), manage stock, view complete reports ranging from sales reports, purchase reports, stock item reports, most preferred item reports, to profit and loss reports. You can also connect this application with a Bluetooth thermal printer to print sales receipts directly. BluePOS is also equipped with a data backup and restore system so that the database is more secure if problems occur on your device in the future. BluePOS is a solution for POS mobile android. FAST, FRIENDLY, FUTURE!

This Application is perfect for your bussiness like :

  1. Retail Store
  2. Wholesale shop
  3. Grocery store
  4. Pharmacy
  5. Workshop
  6. Salon Rental
  7. and others

Main features :

  1. Manage multiple shop employee / admin.
  2. Create product information with image and barcode.
  3. Edit product information.
  4. Print receipt by POS thermal printer
  5. Add product using QR code
  6. Add product using Barcode
  7. Product stock management system (SKU)
  8. Product by category
  9. Search product using QR and Barcode Point of sales system with cart.
  10. Multiple operator.
  11. Multiple stores.
  12. Transaction report Attractive User Interface.
  13. Android 10 – 13 compatible Programmed in Android Studio IDE
  14. Development language is cordova, html, java.
  15. Enhanced documentation.
  16. Manage multiple role for employee.
  17. and many more.

by purchasing the application, you will get:

  1. Full android Source Code.
  2. Backend API.
  3. APK file.
  4. Documentation.

Cash Rocket – Flutter Online Earning App with Admin Panel

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Cash Rocket flutter earning app is a Flutter earning application with an Admin Panel Back-end system that comes with App Source code for Free. There are many options available for earning cash. Users can earn cash via Play Games, Scratch card, complete task challenges & Offerwalls. Also earn with Watch Video, Complete offer, Spin wheel, Website visit, App Installs, Refer Task and Daily Bonus rewards. Cash Rocket flutter earning app application is built with Android Studio and we used clean and quality code for best performance with Unique UI Design that attracts Most users and is already integrated with Ad Networks.

cash rocket flutter earning app, cash rocket, cash earning app, Maan theme, acnoo, Make Money App, cash rocket game,crash rocket free, income generator, is rocket money app safe, rocket crash earning app,earn app, earning app, earning System, game, lucky spin, quiz app, reward app, reward points, spin and win, spin wheel, watch earn, finance app, income app, flutter mobile app, investment app,

APPLICATION FEATURES :

  1. Splash Screen
  2. Intro Screens
  3. Spin to Earn
  4. Refer to Earn
  5. SDK Offerwalls
  6. Redeem Coin
  7. Daily Earn
  8. Watch and Earn
  9. Transaction History
  10. Rewards History
  11. Signup
  12. sign in
  13. User Block/Unblock
  14. Contact Us
  15. Dashboard
  16. Slider Banner
  17. Share App
  18. Rate App
  19. Applovin Max bidding
  20. FB Ads
  21. Admob Ad
  22. Tendy UI Design
  23. Clean code
  24. well documentation
  25. 24/7 online Support

ADMIN PANEL FEATURES :

  1. Dashboard With Chart & Full Reports
  2. Manage Users
  3. User Full Reports
  4. Manage Quiz Categories
  5. Manage Quizzes
  6. Manage Questions
  7. Manage Refer Points
  8. Manage Withdraw Methods
  9. Manage Withdraw Requests
  10. Adnetworks Settings
  11. Reward Settings
  12. System Settings
  13. User Referal System etc…

What You Get :

  1. Flutter App Source Code ( Android & iOS
  2. Admin Panel Source Code
  3. SQL Database File
  4. Documentation

Big Mart Sales Prediction using Machine Learning Web App

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Big Mart is a retail chain that operates numerous stores across various locations. Predicting sales can help in optimizing inventory, improving sales strategies, and enhancing overall profitability. This project aims to build a predictive model using machine learning techniques to forecast the sales of products in different stores.

Objective

The main objective of this project is to predict the sales of products in different Big Mart outlets based on historical sales data and product attributes.

Data Collection and Preprocessing

Data Description

The dataset used in this project consists of various attributes of products and historical sales data. The key features include:

Datasets Link : - kaggle

  1. Item Identifier
  2. Item Weight
  3. Item Fat Content
  4. Item Visibility
  5. Item Type
  6. Item MRP
  7. Outlet Identifier
  8. Outlet Establishment Year
  9. Outlet Size
  10. Outlet Location Type
  11. Outlet Type
  12. Item Outlet Sales (Target Variable)

Model Building

Model Selection

Several machine learning algorithms were considered, including:

  • Linear Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • Gradient Boosting Regressor

Model Training

The dataset was split into training and testing sets. Hyperparameter tuning was performed using GridSearchCV to find the best parameters for each model.

Model Evaluation

Models were evaluated using metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²) score.

Installation Steps :-

  1. Install Python 3.8
  2. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  3. Finally run cmd - python app.py

Download Link

Drug Recommendation System based on Sentiment Analysis of Drug Reviews

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The objective of this project is to develop a Drug Recommendation System that leverages sentiment analysis of drug reviews to provide personalized recommendations. This system aims to help users find suitable drugs based on the experiences and feedback of other users with similar conditions. The project involves data collection, preprocessing, sentiment analysis, recommendation generation, and deployment using Flask.

This Project is based on sentiment analysis of the drug whether the drug should be given for patients, it is advisable or not to the patients. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the drug reviews

Data Collection

Objective

The first step involves gathering a comprehensive dataset containing drug reviews to analyze user sentiments and derive recommendations.

Sources

  • Online Platforms: Websites such as Drugs.com and user forums and Kaggle .
  • Existing Datasets: Publicly available datasets like the UCI Drug Review dataset.

Content

The dataset should include:

  • Review Text: The content of the user's review.
  • Drug Name: The name of the drug being reviewed.
  • Condition: The medical condition the drug is intended to treat.
  • User Ratings: Numerical ratings provided by the users.
  • Metadata: Additional information such as review date, user demographics, etc.

Methods

Collaborative Filtering

  • Leverage user reviews and ratings to find similar users and recommend drugs.

Content-Based Filtering

  • Recommend drugs similar to those the user has positively reviewed based on drug features and user preferences.

Hybrid Approaches

  • Combine collaborative and content-based methods for more accurate recommendations.

Installation Steps :-

  1. Install Python 3.7
  2. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  3. Finally run cmd - python app.py

Download

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