Author Archive: Yugesh Verma

Multi Hospital – Hospital SaaS App + Mobile Applications

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Multi Hospital SaaS Software where you can sell software subscriptions to the hospitals.

This package includes

  1. Admin Panel built on php codeignter
  2. Frontend Website
  3. Flutter Mobile application for patient (Tested for android only)
  4. Flutter Mobile application for doctor (Tested for android only)

The Ultimate solution for managing single or multiple :

  • Hospital
  • Diagnostic Center
  • Clinic
  • Nursing Home

New Features For Super Admin

  1. Auto Appointment Reminder By Email
  2. Flutter Mobile Applications Source Code For Doctor And Patient.
  3. New super admin dashboard
  4. Online payment for Hospital subscription
  5. Multiple Super Admin login
  6. New frontend
  7. SMTP email
  8. Advanced Hospital and Subscription Reporting
  9. Twak.to chat for frontend users
  10. Payroll module
  11. Attendance module
  12. Leave Management
  13. Internal Chat
  14. SMTP Email
  15. New SMS Gateway 80kobo
  16. Package upgrade and renewal through payment gateway
  17. File Manager for Admin and other Staffs with permission control
  18. Paystack Payment gateway
  19. Jitsi meet video conference gateway.
  20. Stripe payment Gateway
  21. Twilio sms Gateway
  22. Table responsiveness in all device
  23. Server side tables for Appointment, Prescription and some other tables
  24. Auto Email and SMS template
  25. Prescription re-design.
  26. Popup patient history on click calendar appointments
  27. CodeIgniter 3.1.10
  28. Fontawesome 5 and many more.
  29. Telemedicine

For Single Hospital

-> Install the application
-> Login as admin with username: admin@hms.com and pass: 12345
-> Change your username and password from profile module.
-> Run your system.
-> Thats it !.

For Multiple Hospital

-> Install the application.
-> Login as super admin with username: superadmin@hms.com and pass: 12345
-> Create hospitals from hospital module in dashboard.
-> By creating a hospital, a new and separated hospital software will be created for that hospital.
-> Give the admin login credentials to hospitals
-> Thats it !.

Business Opportunity

Make a Platform for all hospitals in your community.

Different hospitals owned by different people can be managed by this single application. Create an account for a hospital and give the login details to that hospital. thats it !

All Features

  1. Doctor Database
  2. Prescription Management
  3. Appointment Management
  4. Human Resource Database
  5. 9 Types Of Login Access (Super Admin, Admin, Doctor, Patient, Nurse, Accountant, Pharmacist, Laboratorist, Receptionist)
  6. Hospital Accounting
  7. Financial Reporting
  8. Invoicing
  9. Pharmacy Management
  10. SMS Management
  11. Dynamic Language
  12. Multi Language English, French, Italian, Portuguese , Spanish
  13. Frontend Website
  14. Schedule Management for Doctors
  15. Payment Gateway
  16. Email Module
  17. Notice Module
  18. Quantity in Pos
  19. Dynamic medicine selection during prescription creation
  20. New dashboard
  21. Patient Timeline
  22. Template for Lab report creation
  23. Easy Process to Translate Into any Language
  24. Patient Medical History
  25. Patient Medical Files Archive
  26. Prescription
  27. Patient Payment History
  28. User Activity Report
  29. Doctor’s Commission calculator for Diagnosis Reference
  30. Stripe payment Gateway
  31. Twilio sms Gateway
  32. Table responsiveness in all device
  33. Server side tables for Appointment, Prescription and some other tables
  34. Auto Email and SMS template
  35. Prescription re-design.
  36. Popup patient history on click calendar appointments
  37. CodeIgniter 3.1.10
  38. Fontawesome 5
  39. Telehealth

Login Accesses

  1. Super Admin
  2. Admin
  3. Doctor
  4. Patient
  5. Nurse
  6. Accountant
  7. Pharmacist
  8. Laboratorist
  9. Receptionist

Available Languages

  1. Arabic
  2. English
  3. French
  4. Italian
  5. Portuguese
  6. Spanish

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

Extreme Laboratory Management System

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ExtremeLab is an integrated website and mobile application to manage the medical laboratories system, as it fulfills all the needs of medical laboratories from all their professional aspects, as it allows the users of the system to enter the results of medical reports and facilitates communication and cooperation between laboratory employees and extracts all the required reports from the laboratory and also allow patients to follow up their medical reports, lab branches, and submit a home visit request

Admin panel Key Features:

  1. Managing Tests.
  2. Managing Cultures & Antibiotics.
  3. Managing Tests & Cultures price list.
  4. Doctors management.
  5. Patient management.
  6. Generating patient receipt.
  7. Full management of patient test report.
  8. Printing patient receipt & test report.
  9. Print barcodes
  10. Managing patient home visit request.
  11. Displaying home visit schedule per day.
  12. Notification system (Message & Home visit).
  13. Creating contracts with discounts.
  14. Multi-user with different roles.
  15. Multi-branch laboratory.
  16. Internal chat between lab employees.
  17. Monitoring online users.
  18. Accounting module includes (Expenses, Income, Profits).
  19. Laboratory configuration settings.
  20. Ability to backup database.
  21. Supports Multi language
  22. Supports RTL

Patient panel & Mobile Application Key Features:

  1. Patient profile management.
  2. Ability to view patient test reports & receipts.
  3. Sending patient home visit request.
  4. Viewing laboratory branches.
  5. Notifying patient with Patient code & Results (Email, SMS).
  6. Supports Multi language
  7. Supports RTL

Technologies Used

  1. Laravel framework version 7
  2. HTML , CSS , Javascript , JQUERY (Website)
  3. React Native ( Mobile )
  4. Google Maps
  5. Twilio SMS Gateway

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

Online Taxi Booking Python Django with Real time Map

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Buy Now ₹6501

An online taxi booking Python Django project is a web-based application that allows users to book a taxi ride online through a user-friendly interface. The application integrates with real-time maps to show the location of available taxis and their estimated arrival times.

The project involves designing a database using Django's built-in ORM to store user and ride data. The application's frontend is created using HTML, CSS, and JavaScript to provide an interactive user interface for booking rides, tracking ride progress, and paying for rides.

The Python code interacts with the database to retrieve user data, such as name, email, and payment information, and with real-time map APIs to display the location of available taxis and their estimated arrival times. It uses algorithms to match user requests with available taxis, manage ride progress, and calculate fare amounts.

Some key features of an online taxi booking Python Django project may include:

  1. User registration and login
  2. Ride booking and tracking
  3. Real-time map integration
  4. Payment processing and receipt generation
  5. Ride history and user reviews
  6. Driver and vehicle management
  7. Ride cancellation and refund management
  8. Mobile app integration

Overall, an online taxi booking Python Django project provides a convenient and user-friendly way for users to book and track taxi rides, while providing drivers with a simple way to manage their bookings and pickups. The real-time map integration helps to minimize wait times and improve the overall user experience.

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. Django: Project has been developed over the Django Framework

Supported Operating System :-

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.7.0, 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 3.6.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python manage.py runserver

Online Time Table Generator PHP MYSQL

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A timetable generator PHP MySQL project is a web-based application that generates a schedule of classes for a school or university based on the available courses, teachers, and classrooms. The application helps to reduce the time and effort required to manually create a timetable and minimize scheduling conflicts between classes, teachers, and classrooms.

The project typically involves designing a database using MySQL to store the necessary information such as course details, teacher information, classroom availability, and scheduling time slots. The application's frontend is created using HTML, CSS, and JavaScript to create an interactive user interface for managing the information.

The PHP code interacts with the MySQL database to retrieve the necessary data to generate the timetable. It uses algorithms to schedule classes and manage conflicts, and displays the final timetable in a user-friendly format, typically an HTML table.

Some key features of a timetable generator PHP MySQL project may include:

  1. Ability to add, edit, and delete courses, teachers, and classrooms
  2. Ability to define scheduling time slots and the duration of each class
  3. Ability to automatically schedule classes and manage conflicts such as double-booked classrooms or teachers
  4. Ability to generate different views of the timetable, such as weekly or monthly views
  5. Ability to print the timetable or export it to other formats such as PDF or Excel

Overall, a timetable generator PHP MySQL project helps to automate the process of creating and managing schedules for educational institutions, thereby saving time and effort while improving efficiency and reducing scheduling conflicts.

Users Roles :

  1. Admin
  2. Teacher/Consultant/Faculty
  3. Student

Admin : The page require user id and password to start the application.

Login is a process by which individual access to a computer system is controlled by identifying and authenticating the user through the cardinalities presented by the user.

Admin can add or delete the category, subcategory etc.

Teacher : Staff can register by admin.

The staff have to login to get more information about the time schedule Dashboard.

Student: Student can register the account by clicking on new register.

He/she can add the account for the various Courses.

The student have to login to get more information about the time schedule.

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
  5. Xamp PHP 5.5 download link -  Click Here

How to Run

Requirements

  1. Download and Install any local web server such as XAMPP/WAMP.
  2. Download the provided source code zip file. (download button is located below)

Installation/Setup ( Note : Watch Above Demo Video to  Underatand )

  1. Open your XAMPP/WAMP's Control Panel and start the Apache and MySQL.
  2. Extract the downloaded source code zip file.
  3. If you are using XAMPP, copy the extracted source code folder and paste it into the XAMPP's "htdocs" directory. And If you are using WAMP, paste it into the "www" directory.
  4. Browse the PHPMyAdmin in a browser. i.e. http://localhost/phpmyadmin
  5. Create a new database naming Database Name.
  6. Import the provided SQL file. The file is known as timetable.sql located inside the db folder.
  7. Browse the Online Clothi Store in a browser. i.e. http://localhost/Project Folder Name/ .

Download Link

Crop Recommendation using Random Forest flask web app

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Buy Now ₹1501

Buy Now Project Report ₹1001

The Crop Recommendation Flask Web App is a web application that recommends the best crop to grow based on soil and climate conditions. The project involves building a machine learning model that can predict the crop yield based on several parameters such as soil pH, temperature, rainfall, humidity, and crop type. The machine learning model is then integrated into a Flask web application to provide farmers with a simple and easy-to-use tool for crop selection.

Here's a general overview of the project:

  1. Data collection: Collect soil and climate data from reliable sources such as the National Soil Information System and the National Oceanic and Atmospheric Administration (NOAA).
  2. Data preprocessing: Clean and prepare the data for use in the machine learning model.
  3. Feature selection: Select the most important features that can affect the crop yield, such as soil pH, temperature, rainfall, humidity, and crop type.
  4. Model training: Train a machine learning model using the preprocessed data and the selected features.
  5. Model evaluation: Evaluate the performance of the machine learning model to ensure it can accurately predict the crop yield.
  6. Flask app development: Develop a Flask web application that allows users to input soil and climate parameters and get a recommendation for the best crop to grow.
  7. Deployment: Deploy the web application to a server so that it can be accessed by users.

Overall, the Crop Recommendation Flask Web App project can be a valuable tool for farmers to increase their crop yield and improve their farming practices.

 Algorithm :

  1. *Random Forest Classifier* is used for development of model.
  2. Only three algorithms are used to predict the output. They are *Logistic Regression*, *XGBoost* and *Random Forest*.\
    1. Accuracy of the model using Logistic Regression is 95%.
    2. Accuracy of the model using Random Forest Classifier is 99%.
    3. Accuracy of the model using XGBoost Classifier is 99%.

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 3.6.10, 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 3.6.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py

Rainfall Prediction using LogisticRegression Flask Web App

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Buy Now ₹1501

The Rainfall Prediction using LogisticRegression Flask Web App project is a web application that predicts the amount of rainfall based on historical weather data. The project involves building a logistic regression model that can predict the amount of rainfall based on several weather parameters, and integrating this model into a Flask web application.

Here's a general overview of the project:

  1. Data collection: Collect historical weather data from reliable sources such as the National Oceanic and Atmospheric Administration (NOAA) or India Meteorological Department (IMD).
  2. Data preprocessing: Clean and prepare the weather data for use in the logistic regression model.
  3. Feature selection: Select the most important features that can affect the rainfall prediction, such as temperature, humidity, wind speed, and cloud cover.
  4. Model training: Train a logistic regression model using the preprocessed weather data and the selected features.
  5. Model evaluation: Evaluate the performance of the logistic regression model to ensure it can accurately predict the amount of rainfall.
  6. Flask app development: Develop a Flask web application that allows users to input weather parameters and get a prediction of the amount of rainfall.
  7. Deployment: Deploy the web application to a server so that it can be accessed by users.

Overall, the Rainfall Prediction using LogisticRegression Flask Web App project can be a valuable tool for farmers and other industries that rely on weather predictions.

Explanation of the logistic regression model:

Logistic regression is a statistical model that is used for binary classification problems, where the goal is to predict whether an observation belongs to a particular class or not. The logistic regression model uses a logistic function to map the input features to a probability output. The logistic function is a sigmoid function that outputs a value between 0 and 1, which can be interpreted as the probability of the observation belonging to the positive class.

Here are the key components of the logistic regression model:

  1. Input features: The input features are the variables that are used to predict the outcome. In the case of rainfall prediction, the input features could include temperature, humidity, wind speed, and cloud cover.
  2. Weights: Each input feature is assigned a weight, which reflects the strength of the relationship between that feature and the outcome variable. The weights are learned during the training process and are used to make predictions.
  3. Bias term: The logistic regression model also includes a bias term, which is added to the weighted sum of the input features to produce the final prediction.
  4. Logistic function: The logistic function is a sigmoid function that is used to map the input features to a probability output. The logistic function has a characteristic S-shaped curve and outputs a value between 0 and 1.
  5. Decision boundary: The decision boundary is the threshold value that is used to determine whether an observation belongs to the positive class or the negative class. The decision boundary is typically set to 0.5, meaning that any observation with a predicted probability greater than 0.5 is classified as belonging to the positive class, while any observation with a predicted probability less than 0.5 is classified as belonging to the negative class.
  6. Training: During training, the logistic regression model is fed a set of labeled data and adjusts its weights to minimize the difference between the predicted output and the actual output. This process is typically done using an optimization algorithm such as gradient descent.

Overall, the logistic regression model is a simple and interpretable model that can be used for binary classification tasks, such as rainfall prediction.

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 3.6.10, 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 3.6.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py