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Muhammad A.

@Afzal669

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3 Years of App & Games Development

$5 USD / tunti

・

Pakistan (10:11 ip.)

・

Liittyi kesäkuuta 25, 2023

$5 USD / tunti

・

Muhammad Afzal is a highly skilled and experienced freelance game developer specializing in Android app development using Java. With three years of hands-on experience, Muhammad brings a wealth of expertise to clients seeking top-notch game development services. His comprehensive four-year degree in Computer Science further enhances his ability to deliver exceptional results.

Vahvistukset

Hyväksymisaste

100 %

Katso kaikki C Programmers paikassa Pakistan

Portfolio

Portfolio

Two Player Ball Challenge Game.

Ball Challenge Game

Two player Hockey Glow Game.

Hockey Glow Game

Two player Hockey Glow Game.

Hockey Glow Game

Two Player Finger Soccer Game.

Finger Soccer Game

Two Player Finger Soccer Game.

Finger Soccer Game

Two Player Finger Soccer Game.

Finger Soccer Game

I have developed a web portal that focuses on the classification of soil texture and organic matter using remote sensing techniques. The portal utilizes remote sensing data to analyze and classify soil characteristics in an efficient and accurate manner.

Through the web portal, users can input relevant data or upload satellite images for analysis. The remote sensing data is processed using advanced algorithms and image processing techniques to extract key features related to soil texture and organic matter content.

The web portal provides users with comprehensive reports and visual representations of the classification results. This information can be valuable for various applications, such as agriculture, land management, and environmental monitoring.

By leveraging remote sensing technology, the web portal offers a non-invasive and cost-effective approach to soil analysis. It provides users with a convenient and accessible platform to obtain valuable insights into soil information.

Classification of Soil Texture and Organic Matter

I have developed a web portal that focuses on the classification of soil texture and organic matter using remote sensing techniques. The portal utilizes remote sensing data to analyze and classify soil characteristics in an efficient and accurate manner.

Through the web portal, users can input relevant data or upload satellite images for analysis. The remote sensing data is processed using advanced algorithms and image processing techniques to extract key features related to soil texture and organic matter content.

The web portal provides users with comprehensive reports and visual representations of the classification results. This information can be valuable for various applications, such as agriculture, land management, and environmental monitoring.

By leveraging remote sensing technology, the web portal offers a non-invasive and cost-effective approach to soil analysis. It provides users with a convenient and accessible platform to obtain valuable insights into soil information.

Classification of Soil Texture and Organic Matter

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application with machine learning capabilities for a project called "Fruit Classification System." The application focused on accurately identifying and classifying different types of fruits.

Using machine learning algorithms, the application could analyze images of fruits captured through the mobile device's camera. It would then classify the fruit based on its visual features, such as shape, color, and texture.

The mobile application provided a user-friendly interface where users could simply capture a photo of a fruit, and the machine learning model would process the image and provide the classification results. It allowed users to quickly and accurately identify various fruits in real-time.

By leveraging machine learning technology, the application continuously improved its classification accuracy over time as more data was processed. This ensured more reliable and precise fruit identification results.

Fruit Classification System

Two Player Ball Challenge Game.

Ball Challenge Game

Two player Hockey Glow Game.

Hockey Glow Game

Two player Hockey Glow Game.

Hockey Glow Game

Two Player Finger Soccer Game.

Finger Soccer Game

Two Player Finger Soccer Game.

Finger Soccer Game

Two Player Finger Soccer Game.

Finger Soccer Game

I have developed a web portal that focuses on the classification of soil texture and organic matter using remote sensing techniques. The portal utilizes remote sensing data to analyze and classify soil characteristics in an efficient and accurate manner.

Through the web portal, users can input relevant data or upload satellite images for analysis. The remote sensing data is processed using advanced algorithms and image processing techniques to extract key features related to soil texture and organic matter content.

The web portal provides users with comprehensive reports and visual representations of the classification results. This information can be valuable for various applications, such as agriculture, land management, and environmental monitoring.

By leveraging remote sensing technology, the web portal offers a non-invasive and cost-effective approach to soil analysis. It provides users with a convenient and accessible platform to obtain valuable insights into soil information.

Classification of Soil Texture and Organic Matter

I have developed a web portal that focuses on the classification of soil texture and organic matter using remote sensing techniques. The portal utilizes remote sensing data to analyze and classify soil characteristics in an efficient and accurate manner.

Through the web portal, users can input relevant data or upload satellite images for analysis. The remote sensing data is processed using advanced algorithms and image processing techniques to extract key features related to soil texture and organic matter content.

The web portal provides users with comprehensive reports and visual representations of the classification results. This information can be valuable for various applications, such as agriculture, land management, and environmental monitoring.

By leveraging remote sensing technology, the web portal offers a non-invasive and cost-effective approach to soil analysis. It provides users with a convenient and accessible platform to obtain valuable insights into soil information.

Classification of Soil Texture and Organic Matter

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application focused on Numerical Methods Implementation. The application was designed to provide users with solutions and step-by-step explanations for numerical problems.

Users could input a numerical problem or equation into the application, and it would generate a comprehensive solution along with the necessary steps. The application incorporated various numerical methods such as root-finding algorithms, interpolation techniques, and numerical integration methods.

By utilizing algorithms and mathematical formulas, the application could accurately solve problems related to numerical analysis. It aimed to assist users in understanding and implementing numerical methods effectively.

With the mobile application, users had access to a reliable tool for obtaining solutions and detailed explanations for a wide range of numerical problems. It simplified the process of applying numerical methods, making it accessible and convenient for users on the go.

Numerical Methods Implementation

I developed a mobile application with machine learning capabilities for a project called "Fruit Classification System." The application focused on accurately identifying and classifying different types of fruits.

Using machine learning algorithms, the application could analyze images of fruits captured through the mobile device's camera. It would then classify the fruit based on its visual features, such as shape, color, and texture.

The mobile application provided a user-friendly interface where users could simply capture a photo of a fruit, and the machine learning model would process the image and provide the classification results. It allowed users to quickly and accurately identify various fruits in real-time.

By leveraging machine learning technology, the application continuously improved its classification accuracy over time as more data was processed. This ensured more reliable and precise fruit identification results.

Fruit Classification System

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