Ai Black and white image colorization with OpenCV Project Free Download

Posted on by

Image colorization is an intriguing task in the field of computer vision that involves adding color to black and white images. This process transforms historical photographs, enhances low-quality video footage, and brings new life to vintage images. The advent of deep learning, particularly Convolutional Neural Networks (CNNs), has significantly improved the accuracy and realism of automated colorization.

In traditional image processing, colorization required manual effort and expertise, making it a time-consuming and labor-intensive task. However, with the development of AI and deep learning, we now have models that can learn from large datasets of color images and predict the appropriate colors for grayscale images. This not only saves time but also produces remarkably realistic results.

OpenCV (Open Source Computer Vision Library) is a powerful tool for computer vision and image processing. It provides a wide range of functions for manipulating images, making it an excellent choice for implementing AI-based image colorization. By leveraging OpenCV along with deep learning models, we can automate the process of colorizing black and white images with impressive accuracy.

This report delves into the methodology and implementation of AI-based black and white image colorization using OpenCV. We will discuss the conversion of images to different color spaces, the training of neural networks to predict color channels, and the application of these models to achieve vibrant and realistic colorization of grayscale images.

Technology Overview

Image colorization using AI and OpenCV is a fascinating blend of deep learning and computer vision technologies. Here's an overview of the key technologies and concepts involved:

  1. Deep Learning and Convolutional Neural Networks (CNNs):
    • Deep learning is a subset of machine learning that uses neural networks with many layers to model complex patterns in data.
    • CNNs are a type of deep learning model particularly effective for image processing tasks. They consist of layers that automatically and adaptively learn spatial hierarchies of features from input images.
  2. Color Space Conversion:
    • Images are typically processed in RGB color space but for colorization, conversion to Lab color space is common.
    • In Lab color space, the L channel represents lightness, while the a and b channels represent color information (chromaticity). This separation makes it easier for the model to predict color components.
  3. Training the CNN Model:
    • The model is trained on a large dataset of color images, learning to predict the a and b channels given the L channel.
    • Training involves feeding the network pairs of grayscale (L channel) and color (a and b channels) images, and optimizing the network to minimize the difference between predicted and actual color channels.
  4. Implementation with OpenCV:
    • OpenCV is a widely-used library in computer vision for image manipulation and processing. It provides tools for tasks like loading images, converting color spaces, and applying transformations.
    • OpenCV's dnn module can be used to load and run pre-trained CNN models, making it possible to integrate deep learning models into applications for tasks like colorization.
  5. Application Process:
    • Load the grayscale image.
    • Convert the image to Lab color space.
    • Use the trained CNN model to predict the a and b channels.
    • Combine the predicted a and b channels with the original L channel.
    • Convert the image back to RGB color space to get the final colorized image.

Benefits and Challenges

Benefits:

  • Automates the colorization process, saving time and effort.
  • Produces realistic and high-quality colorized images.
  • Can be applied to various fields like film restoration, historical photo enhancement, and more.

Challenges:

  • Requires a large and diverse dataset for training to achieve good results.
  • May struggle with complex images where the grayscale cues alone are insufficient to infer accurate colors.
  • Computationally intensive, requiring powerful hardware for both training and inference.

This combination of deep learning and computer vision techniques has opened up new possibilities in image colorization, making it more accessible and effective. Would you like to explore any of these technologies in more detail?

Download Link

College Complaint Registation System in Python Django

Posted on by

Buy Source Code ₹701

The College Complaint Registration System streamlines the process of students registering complaints and tracking their resolution statuses. It incorporates role-based access for students and administrators. Django's robust framework is utilized to manage backend processes efficiently, while the frontend ensures a user-friendly experience.

Key Features and Modules

  1. Student Module

Allows students to log in, register complaints, and monitor their status.

Functionality:

  1. User Authentication:
    • Students log in using their email and password.
    • Authentication is managed using Django's built-in User Authentication System.
  2. Dashboard:
    • Students are redirected to their dashboard upon login.
    • The dashboard includes:
      • Complaint Form where students fill in:
        • Name, Surname
        • Class, Department
        • Complaint Details
        • Upload:
          • Video Proof (e.g., .mp4, .avi)
          • Image Proof (e.g., .jpg, .png)
      • A "Submit" button to save the complaint to the database.
  3. Complaint Status Tracking:
    • Students can view their submitted complaints and track statuses:
      • Pending
      • Under Review
      • Resolved
    • Once marked "Resolved," the student can confirm it by clicking a Resolve button, which removes it from the dashboard.
  1. Admin Module

Allows the admin to manage students and complaints effectively.

Functionality:

  1. Student Management:
    • Admin can:
      • Add students by providing:
        • Name, Surname, Email, Class, Department
        • Password is either system-generated or input by the admin.
      • Update or delete student details.
  2. Complaint Management:
    • Admin can:
      • View all complaints submitted by students.
      • Access uploaded proofs (video/image).
      • Update the complaint status:
        • Pending, Under Review, Resolved.
      • Add comments or feedback for students.
  3. Status Updates:
    • Students see real-time status updates on their dashboards.

Technologies and Design

Frontend:

  1. Languages:
    • HTML, CSS, JavaScript
  2. Frameworks/Libraries:
    • Bootstrap (for responsive design)

Backend:

  1. Framework: Django
  2. Database: SQLite (default) or any other Django-supported database like PostgreSQL or MySQL.
  3. File Handling:
    • Files are uploaded using Django's FileField or ImageField.
    • Proofs are stored in the media directory.

Online Food Ordering Management System in php mysql

Posted on by

Buy Source Code ₹701

The Online Food Ordering System is a web-based application that facilitates users to order food online from a catalog of available menu items. It includes features for user and admin management and payment processing. The project is developed using PHP and MySQL as the core technologies, with a responsive front-end and a well-structured back-end.

Project Modules

  1. User Module

This module focuses on user interaction, including registration, browsing the food menu, placing orders, and managing account details.

Features

  1. Registration and Login:
    • Users can register with their name, email, password, and phone number.
    • Upon successful registration, a wallet balance of ₹2000 is credited to the user's account.
    • Users can log in with their email and password.
    • Passwords are hashed for security (e.g., using bcrypt).
  2. Food Menu:
    • Displays all food items with the following details:
      • Food Name
      • Price
      • Image
    • Users can select the quantity for each item and proceed to place an order.
  3. Placing Orders:
    • Payment options:
      • Wallet: Deducts the amount from the user's wallet.
      • Cash on Delivery (COD): Allows users to enter a delivery address and opt for COD.
    • Upon order confirmation, users receive:
      • Order ID
      • List of items ordered
      • Total cost
      • Payment method
  4. Order Details:
    • Users can view all their orders categorized as:
      • Pending Orders: Orders yet to be delivered.
      • Delivered Orders: Orders successfully delivered.
    • Details include food name, order status, amount paid, and delivery address.
  5. User Dashboard:
    • Profile Management:
      • Update personal details (name, email, phone number, address).
    • Ticket Management:
      • Submit a ticket for issues (e.g., delayed delivery, wrong item).
    • Order History:
      • View details of past and pending orders.
  1. Admin Module

The admin panel manages the application, including food items, user details, and orders.

Features

  1. Admin Login:
    • Admins log in using their username and password.
    • Authentication ensures only authorized access to the dashboard.
  2. Dashboard Overview:
    • User Management:
      • View a list of registered users with details like name, email, and phone number.
    • Order Management:
      • View and update order statuses (e.g., Pending → Delivered).
    • Ticket Management:
      • Respond to user-submitted tickets.
  3. Food Management:
    • Add Food:
      • Enter food name, price, and upload an image.
    • Edit/Delete Food:
      • Modify or remove existing food items.
  1. Website Front-End

The front-end includes a user-friendly interface for visitors to explore the platform.

Pages

  1. Home Page:
    • Highlights the service's key features.
    • Includes a call-to-action for registering or logging in.
  2. Our Food Page:
    • Displays the food menu with prices and images.
  3. About Us Page:
    • Shares information about the platform/company.
  4. Order Now Page:
    • Redirects registered users to the food menu.

Technologies Used

  1. Front-End:
    • HTML: Structure of the web pages.
    • CSS: Styling for a visually appealing interface.
    • JavaScript: Dynamic behavior for user interactions.
    • Bootstrap: Responsive design for mobile and desktop users.
  2. Back-End:
    • PHP: Server-side scripting for managing user requests and interactions.
    • MySQL: Database for storing user details, food items, orders, and tickets.
  3. Web Server:
    • Apache: Part of the XAMPP/WAMP stack for hosting the application locally or on a server.

Database Design

  1. Tables
  1. Users Table:
    • id: Primary Key
    • name: User's full name
    • email: User's email address
    • password: Hashed password
    • phone: Contact number
    • wallet_balance: Wallet amount (default ₹2000)
    • address: User's delivery address
  2. Food Items Table:
    • food_id: Primary Key
    • name: Food name
    • price: Food price
    • image: File path of the food image
  3. Orders Table:
    • order_id: Primary Key
    • user_id: Foreign Key (references Users.id)
    • items: JSON (food items and quantities)
    • total_amount: Total cost
    • payment_method: Wallet or COD
    • status: Pending or Delivered
    • delivery_address: Address for COD orders
  4. Tickets Table:
    • ticket_id: Primary Key
    • user_id: Foreign Key (references Users.id)
    • issue_description: User's complaint or issue
    • status: Open or Resolved

Key Functionalities

  1. Payment System
  • Wallet integration with balance updates for each transaction.
  • COD option with address validation.
  1. Order Management
  • Users can track orders by status (Pending/Delivered).
  • Admins can update the order status.
  1. Responsive Design
  • Ensures usability on desktops, tablets, and smartphones.
  1. Security
  • Password hashing (e.g., using bcrypt).
  • Prepared statements in SQL to prevent injection attacks.

Project Flow

  1. User Registers → Logs In → Browses Food Menu → Places Order.
  2. Admin Manages Food Items → Monitors Orders → Handles Tickets.

Enhancements and Future Scope

  1. Real-Time Notifications:
    • SMS or email alerts for order updates.
  2. Reviews and Ratings:
    • Allow users to rate food items.
  3. Discounts and Offers:
    • Implement promo codes or discounts.
  4. Multi-Language Support:
    • Cater to a diverse user base.
  5. Delivery Tracking:
    • Include real-time delivery tracking for users.

Conclusion

This system provides a robust and user-friendly platform for online food ordering, catering to both customers and administrators with well-defined modules and functionalities.

 

Online Student Expense Management System PHP MySQL

Posted on by

BUY NOW Source Code ₹501

The **Student Expense Management System** is a core PHP and MySQL-based web application developed to help students manage their monthly expenses effectively. This system is designed to enable students to track their daily, weekly, and monthly expenses while setting a budget to monitor and control their spending. With user-friendly interfaces, the system provides an easy-to-use platform where students can register, log in, set budgets, and categorize expenses. This way, students gain better insights into their spending habits, which can be crucial for developing good financial management skills.

Features

User Registration and Login

  1.    - Register: Allows students to create an account using personal details (username, email, password).
  2.    - Login: Secure access to the system using credentials.
  3.    - Logout: Ensures secure exit from the system.

Dashboard

  1.    - Displays an overview of the student’s total budget, recent expenses, and remaining balance.
  2.    - Provides graphical representation (optional) of spending across different categories.

Budget Management

  1.    - Set Monthly Budget: Students can set a monthly budget to manage their expenses.
  2.    - Available Budget Display: Shows remaining budget after deducting expenses.

Expense Tracking

  1.    - Add Daily Expenses: Students can input their daily expenses along with a description and category (e.g., food, transport, entertainment).
  2.    - Weekly Expense Summary: Overview of all expenses incurred in a week.
  3.    - Monthly Expense Summary: Detailed summary of all expenses within a month.
  4.    - Filter by Category: View expenses by category to analyze specific spending areas.

Reports and Summaries

  1.    - Today’s Expenses: Overview of all expenses recorded for the current day.
  2.    - Weekly Summary: Shows total spending for each week in a month.
  3.    - Monthly Summary: Comprehensive monthly report that includes total expenses and remaining budget.
  4.    - Export Options (Optional): Ability to export expense reports in formats like PDF or Excel for personal records.

Settings

  1.    - Profile Management: Update personal information such as email or password.
  2.    - Notification Settings (Optional): Students can enable notifications or alerts for budget limits.

Responsive Design

  1.    - Ensures usability across devices, so students can access the system from laptops, tablets, or smartphones.

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)

  1. WAMP Server
  2. XAMPP Server
  3. MAMP Server
  4. LAMP Server

Installation Steps

1. Download zip file and Unzip file on your local server.
2. Put this file inside "c:/wamp/www/" .
3. Database Configuration
Open phpmyadmin
Create Database named studentexpense.
Import database db name.sql from downloaded folder(inside database)
4. Open Your browser put inside "http://localhost/project folder name/"

Online College Result Management System PHP MySQL

Posted on by

BUY NOW Source Code ₹501

The Online College Result Management System is a web-based application that simplifies result management and provides a streamlined interface for students and college administrators. This system integrates an admin login and a student result view on the same platform. It offers students easy access to their academic performance details and enables administrators to efficiently manage student records, courses, semesters, and results.

Key Features

Student Section

  1. Student Login (View Result) Panel:
    • Students can access their results by entering their unique Student ID.
    • After entering the Student ID, they can view basic details such as Student ID, Name, Branch, Semester, and Percentage of Results.
  2. Detailed Result View:
    • Upon clicking "View Result," students can see their complete results, which includes:
      • Subject Code and Subject Name
      • Marks Obtained for each subject
      • Total Percentage
    • Students also have the option to print their result as a PDF, making it convenient to save or submit for future reference.

College Admin Panel

  1. Admin Login:
    • The admin logs in using a username and password. After a successful login, the admin is redirected to the dashboard.
  2. Dashboard Overview:
    • The dashboard provides an at-a-glance view of key data points:
      • Total Number of Students
      • Total Semesters
      • Total Subjects added by the admin
  3. Sidebar Navigation:
    • The admin can easily navigate through different sections via a sidebar menu.
  4. Semester Management:
    • View Semesters: View all existing semesters.
    • Add, Update, Delete, and Modify Semesters: Admins can manage semester data, allowing for easy updates and adjustments.
  5. Subject Management:
    • View Subjects: View a list of all subjects currently offered.
    • Add, Update, Delete, and Modify Subjects: Admins have control over the subject list, enabling them to keep course offerings up to date.
  6. Student Management:
    • View Students: Access a list of all students enrolled in the system.
    • Add, Update, Delete, and Modify Student Records: Admins can manage student records, ensuring data accuracy.
  7. Result Management:
    • Generate New Student Results: Admins can input student scores and generate a result based on their performance.
    • Save Results: Generated results are saved in the system, allowing for future access by both students and administrators.

This Online College Result Management System is designed to improve administrative efficiency and provide a simple, accessible way for students to review their academic progress. With a user-friendly interface and essential functionalities, the system caters to both students' need for easy result access and administrators' need for efficient data management.

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)

  1. WAMP Server
  2. XAMPP Server
  3. MAMP Server
  4. LAMP Server

Installation Steps

1. Download zip file and Unzip file on your local server.
2. Put this file inside "c:/wamp/www/" .
3. Database Configuration
Open phpmyadmin
Create Database named csrms.
Import database db name.sql from downloaded folder(inside database)
4. Open Your browser put inside "http://localhost/project folder name/"

AI Recruitment & Staffing Agency Software Solution

Posted on by

is loaded with everything you need to effectively manage your staffing agency. Create a beautiful and customizable website, receive and manage orders, manage employer and candidate relationships, and recruit new candidates easily with job posts, computer-based tests, and powerful filtering tools.

New! Deep AI Integration

CarePro now ships with powerful AI features that leverage OpenAi’s gpt models. Features include candidate recommendations, candidate bio filters, employer job vacancy filters, contract generation, candidate bio generator, Job vacancy generator and more!

Software Built for YOUR Agency

Do you run a Staffing agency? Then you have come to the right place! CarePro is the Staffing Agency Software built just for agencies like yours!
CarePro is a PHP web application that enables you effectively manage all aspects of your agency’s operations. With features such as Order Management, Employer and Candidate Management, Placements Management, User Records, Candidate Recruitment and lots more, your agency will never be the same again!
Buy our system and install on your server with just a few clicks! With CarePro, you can be up and running in minutes!

Order Management

CarePro comes with a complete order management module that makes it easy for employers to place orders for your Candidates!

Customizable Order Form

comes with a complete form builder that allows you to create custom fields for your order placement. You can define the questions you would like to ask or options you would like to be selected when an employer is placing orders for your candidates.

Powerful AI Features

now ships with deep integration with OpenAI’s gpt models. Our AI features include
1. Candidate Recommendations: Employers and Admins can now find the best candidates for a given role using the power of AI. Our Candidate Recommendation feature is a powerful tool that will change the way you recruit forever!
2. Candidate Bio filter: our candidate bio filter will drastically reduce the manpower needs of your agency. You can configure the AI model to filter each candidate’s bio to remove any text that violates your terms of service.
3. Employer Job Vacancy filter: Our job vacancy filter will ensure that each time an employer creates a job vacancy, it will comply with your policies. You can even have the Gpt model automatically re-write each job posting to enforce quality standards.
4. Contract Generation: Automatically create contracts with the AI contract generation feature. The system will use the signatories you have configured to draft a professional legal document.
5. Candidate Bio Generator: Easily create professional bios for your candidates with the click of a button. The system will gather all the candidate’s data and draft a professional bio.
6. Job vacancy generator: Employers and admins can use AI to easily create professional job listings.
7. Blog post generator: Easily create blog posts with the built-in blog post generator.
8. Email creation: Save time drafting emails with the built-in email template creator

Sell online courses to candidates

ships with a powerful learning management system that enables you offer free and paid courses to your candidates. Create courses with multiple types of content such as text, videos, images, quizes, Zoom meetings and more. You can also issue certificates automatically to successful candidates.

Candidate Shortlisting

Employers can optionally shortlist candidates while placing orders! You get to define candidates that are available for shortlisting on your front end. You can also create orders from your backend and shortlist candidates yourself

Automatic Invoice Generation & Checkout

You can configure the order placement module to generate an invoice when an order is placed automatically. This is especially useful for mobilization fees. Employers will be emailed an invoice immediately after they place the orders and they will be redirected to make an online payment via your selected payment gateways

Multiple Payment Gateways

You can configure the payment methods you would like to use to receive payment for your order invoices. We support multiple methods such as Paypal, Stripe, Paystack, 2Checkout, Rave, Bank Transfer, and many more! All payments go directly through your selected gateway straight to your bank account as you will get to save your gateway credentials directly on your CarePro settings page.

Order Statuses and Notifications

Easily update the status and comment of orders during the course of each placement. Employers will receive email notifications once their order is updated. They can also view the history of their previous orders

Employers & Candidates

comes with powerful features for managing all your employers and candidates. Easily view and manage all employers and candidates from your backend. Shortlist candidates, hotlist employers, and more!

Customizable Employer & Candidate Profiles

allows you to define fields for Employers and Candidates. Set attributes for each user type that employers or candidates can fill in during registration.

User Registration and Confirmation

Optionally enable or disable registration for Employers or Candidates. You can also enable email confirmation for employers or candidates. Social login is also available for Employers and Candidates.

User Profile Management

Employers and Candidates can easily manage their account details by logging into their account area. Candidates can also upload profile pictures, resumes, and any other type of files you may require e.g. Identification documents

Employer and Candidate Records

You can view and create different types of records for candidates and employers. Such records include Placement History, Invoice Payments, Comments, and Attachments. Easily search through all types of records using our powerful search feature

Placements

Easily manage placements with CarePro! Create placement relationships and define start and end dates. Specify salary and also attach documents for placements.
You can also create comments for each placement. Employers can log in and view all comments for a placement. They can also create comments for placement and attach documents.

Contract Management

comes with a powerful contract management feature that helps you streamline the process of managing contracts between employers and candidates. Please note the following regarding this feature:

  1. Each contract is unique and is created specifically for the signing parties. A contract is only visible to admins and signatories assigned to it.
  2. A contract requires a minimum of one signatory and can include an unlimited number of signatories.
  3. Signatories can sign contracts online using the web-based signature capture feature.
  4. Signatories are not allowed to modify contracts.
  5. Signatories can download PDF versions of their contracts only after signing.
  6. Other signatories are notified via email whenever another signatory signs the contract.

Invoicing

comes with a powerful invoicing feature. Easily create invoices and send them to employers or candidates. Invoices are sent as a PDF attachment and a link is provided in the email for online payments. The link sent via email enables automatic login for easy payment. Users can also view all their invoices by logging into their accounts. Outstanding invoices can be paid from this area.

Vacancies & Recruitment

Easily post vacancies on your portal! Receive applications for each vacancy from your candidates. Download resumes for each applicant. CarePro also provides powerful filtering features for selecting the right candidates for each position.

Testing

comes with a powerful Computer Based Testing feature! You can create online examinations for your Candidates. Our tests are highly secure and immune to cheating or hacking. You can create time-limited examinations and specify if multiple attempts are allowed. Easily filter results to get candidates with the best scores!
You can create an unlimited number of Tests.

Messaging

comes with a powerful messaging feature that enables you to easily send Email and SMS messages to your users.

Email Messaging

Our Email messaging feature is designed to make it easy to send documents to Employers and Candidates. Some features include

  1. Resume Attachment: Easily attach the resume of candidates to an email and send it to an employer with the click of a button! Resumes are automatically created by the system and all have a uniform format. You can also specify the resumes as partial in order to restrict the data included in the resume.
  2. Email Resources: Easily create resources that can be reused in emails. Items such as Guarantor forms, Agreements, and Terms of Service can be uploaded as email resources.
  3. Invoice Attachment: Easily send invoices as PDF attachments and clickable links.
  4. Email Templates: Create Email templates that can be easily loaded onto the text editor. This saves you the trouble of having to recompose common emails.

SMS Messaging

Easily send SMS broadcast messages to Employers and Candidates. CarePro supports multiple SMS gateways. Simply save your credentials on the settings page and start sending messages easily!

Website Builder

comes with a powerful and easy to use website builder. With this, you can easily install one of our multiple templates and have your site looking gorgeous! All templates are free to use. If you are using CarePro as your main website or adding it to an existing website, we have a template for you!
Our website builder comes with powerful tools for customizing your selected template. Easily upload images, change colors, text, and much more!

For Live Demo & Enquiry  :

WhatsApps : +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

Document Management System Project php mysql

Posted on by

Document Management is a self-hosted, web-based document management system designed to help organizations store, track, modify, and manage documents on a centralized platform. Its features include document sharing, reminders, user management, bulk permissions, document download, document preview, sending documents via email, document audit tracking, document versioning, document comments, and multilingual support

It allows you to upload multiple documents and share them with an unlimited number of system users. Additionally, it provides the option to share documents for a specific period and allows for the download option.

New Feature Added:

  • Deep Document Content Search
  • Share document via secure link
  • Quality verified by Envato
  • Complete Source Code
  • Regular updates
  • Free future updates
  • Welcome for suggestions

For Live Demo & Enquiry  :

WhatsApps : +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

Garments ERP – Apparel & Textile Industrial ERP Software

Posted on by

Welcome to the world of Garments ERP , where precision meets efficiency in the garments and apparel industry. Our tailored Enterprise Resource Planning software is your key to streamlining and optimizing every facet of clothing and textile management.

Our Garments ERP keeps you in control by offering real-time insights into raw materials, fabric management, production progress, and finished products. Say goodbye to inefficiencies and waste, and welcome efficient quality management.

It aids in planning production schedules, resource allocation, and order monitoring, leading to optimized production processes and reduced lead times. Your operations become smoother, more efficient, and more cost-effective.

With Garments ERP, you can process buyer orders with ease, from entry to fulfillment and delivery. It ensures accuracy and punctuality, satisfying your customers and bolstering your market reputation. Efficient supplier management guarantees a steady supply chain, reducing production delays and boosting your competitive edge.

Our software doesn’t stop at production – it’s equipped with financial modules that manage accounts payable, receivable, cost tracking, and budget management. It empowers you to make informed financial decisions and generates reports to aid in your strategic planning.

Garments ERP offers apparel businesses heightened operational efficiency, reduced costs, greater customer satisfaction, and sharper decision-making capabilities. It’s your essential tool for thriving in the fast-paced and ever-evolving garment industry. Step into the future with Garments ERP and see the difference for yourself.”

What You Get :

Key Features:

Dashboard
  • Access real-time company data from the dashboard.
Order Management
  • Create orders for buyers, including Booking, Budget, Costing, Sample, Production, and Shipments.
Manage Inventory
  • Create Accessory Units and Accessories.
  • Place accessory orders with suppliers.
User Management
  • Administer user accounts and assign roles.
Bank & Accounts
  • Conduct financial transactions.
  • Access Bank Accounts, Cash in Hand, Cheques, Income, Expense, Credit Voucher, Debit Voucher, Monthly Transactions, Daily Transactions, Party Ledger, and Daily Cashbook.
Party List
  • Create and manage two types of parties: Suppliers and Buyers.
  • Purchase accessories from Suppliers.
  • Sell orders to Buyers.
HRM Management
  • Define designations and manage employee data.
  • Handle full or partial salary payments.
Party Due List
  • Monitor dues for parties (Suppliers and Buyers).
  • Process payments to Suppliers.
  • Receive payments from Buyers.
Loss Profit
  • Analyze the company’s financial situation.
  • Review expenses, incomes, and the overall Loss/Profit.
Reports
  • Generate Order, Transactions, Production, Sales, and Purchase Reports.
Settings
  • Configure Currency settings.
  • Manage Notifications.
  • Update core system settings.
  • Adjust website settings.
Roles, Permissions & Others
  • Control user visibility and permissions.

For Live Demo & Enquiry  :

WhatsApps : +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

Lung Cancer Detection Using CNN Project with Source Code

Posted on by

Lung cancer is one of the most prevalent and deadly forms of cancer worldwide. According to the World Health Organization (WHO), lung cancer accounts for approximately 2.1 million new cases annually and is responsible for 1.8 million deaths. The high mortality rate is largely due to the fact that lung cancer is often detected at an advanced stage when treatment options are limited, and survival rates are low. Early detection of lung cancer significantly improves the chances of successful treatment and long-term survival. However, traditional diagnostic methods, such as X-rays, CT scans, and biopsies, are time-consuming, require significant expertise, and are not always effective at detecting early-stage tumors.

This project aims to detect lung cancer using a Convolutional Neural Network (CNN) model deployed with Flask. It includes a Jupyter notebook (lung_cancer_detection.ipynb) for model training and a Flask app (app.py) for making predictions. Additionally, an HTML template (index.html) is provided for the web interface.

Data Preprocessing

  • Data Acquisition: The CT-Scan  images and their labels were obtained from this Kaggle dataset. It provides a diverse set of chest cancer images, crucial for training a robust model.

  • Data Augmentation: To enhance the model's ability to generalize and to mitigate overfitting, I used TensorFlow's ImageDataGenerator. This tool allowed for augmenting the images in various ways (like rotation, zoom, flip) to artificially expand the dataset.

  • Normalization and Resizing: Each image was resized to a standard dimension and normalized to ensure uniformity in the input data, which is important for effective training of the CNN.

  • Train-Test Split: The dataset was split into training and test sets. The training set is used to train the model, while the test set helps in evaluating its performance on unseen data.

Model Structure

The CNN model used in this project is a sequential model composed of several Convolution2D and MaxPooling2D layers, carefully structured for effective image classification:

  • Convolution Layers: The model includes multiple Conv2D layers with 128 and 256 filters. These layers are responsible for extracting features from the images. The first two convolution layers have 128 filters each, followed by another set of two with the same number. The next four convolution layers have 256 filters each.

  • Pooling Layers: MaxPooling2D layers are used after certain convolution layers to reduce the spatial dimensions (width and height) of the output volume, helping to reduce the number of parameters and computation in the network.

  • Output Layer: The final layer of the model is a Dense layer with neurons equal to the number of classes, using a 'softmax' activation function for multi-class classification. This allows the model to output a probability distribution over the classes.

  • Optimization and Loss Function: The model is compiled with the Adamax optimizer and categorical cross-entropy loss function. This combination is chosen for effective learning and generalization in multi-class classification tasks.

  • Parameters and Size: The total number of parameters in the model is 3,763,940 (14.36 MB). All these parameters are trainable, ensuring that the model can learn complex patterns in the data.

This structure is designed to effectively capture the intricate patterns in CT-Scan images, leading to accurate classification of Lung Cancer.

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 3.8, 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
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py