Mobile App for Kidney Stone Diagnosis
Budget: $3,000 – $5,000 USD
I need a mobile application designed and developed for both iOS and Android platforms. The key features of this app include:
- Image Processing: It should be able to perform object detection and image classification. This is a crucial part of the app's functionality, as it relates to the diagnosis of kidney stones.
- AI-Based Response: The app must be able to provide a diagnosis recommendation, suggest appropriate treatments, and assess the risk associated with the condition. The AI component of the app should be sophisticated enough to provide accurate and helpful responses.
Ideal Skills and Experience:
- Proficiency in mobile app development for both iOS and Android platforms.
- Strong background in image processing, particularly in object detection and image classification.
- Experience in developing AI-based systems, ideally in the medical field.
- Ability to create a user-friendly interface to ensure ease of use for the target audience, which may include individuals with limited technical knowledge.
- Strong communication skills, as there may be a need for explanations of the app's functionality to non-technical users.
I would like to collaborate with a freelancer who can deliver a high-quality, reliable, and user-friendly mobile application.
Project Description:
We are seeking an experienced mobile app developer for iOS and Android to create an innovative medical application. The app will allow users to capture images of kidney stones using the device's camera. These images will be processed through an AI model based on ChatGPT to identify the type of kidney stone and provide specific recommendations for laser use, including optimal configurations.
Key Requirements:
Mobile Application Development:
Development of a native application for iOS and Android.
Intuitive and user-friendly interface for medical professionals.
Integration of the device's camera to capture high-quality images.
Image Processing:
Implementation of algorithms for analyzing the captured images.
Connection with the ChatGPT model to interpret the results and determine the type of kidney stone.
AI Integration:
Use of the ChatGPT API to process image data and generate a detailed response.
Customization of responses to include recommendations on laser use, energy settings, and treatment techniques.
Additional Features:
Secure data storage and protection of patient privacy.
Ability to save results and generate reports.
Integration with medical databases if necessary.
Technical Requirements:
Proven experience in mobile app development for iOS and Android.
Knowledge in image processing and the use of artificial intelligence in mobile applications.
Ability to work with APIs and external services.
Capability to deliver clean, well-documented, and scalable code.
- Image Processing: It should be able to perform object detection and image classification. This is a crucial part of the app's functionality, as it relates to the diagnosis of kidney stones.
- AI-Based Response: The app must be able to provide a diagnosis recommendation, suggest appropriate treatments, and assess the risk associated with the condition. The AI component of the app should be sophisticated enough to provide accurate and helpful responses.
Ideal Skills and Experience:
- Proficiency in mobile app development for both iOS and Android platforms.
- Strong background in image processing, particularly in object detection and image classification.
- Experience in developing AI-based systems, ideally in the medical field.
- Ability to create a user-friendly interface to ensure ease of use for the target audience, which may include individuals with limited technical knowledge.
- Strong communication skills, as there may be a need for explanations of the app's functionality to non-technical users.
I would like to collaborate with a freelancer who can deliver a high-quality, reliable, and user-friendly mobile application.
Project Description:
We are seeking an experienced mobile app developer for iOS and Android to create an innovative medical application. The app will allow users to capture images of kidney stones using the device's camera. These images will be processed through an AI model based on ChatGPT to identify the type of kidney stone and provide specific recommendations for laser use, including optimal configurations.
Key Requirements:
Mobile Application Development:
Development of a native application for iOS and Android.
Intuitive and user-friendly interface for medical professionals.
Integration of the device's camera to capture high-quality images.
Image Processing:
Implementation of algorithms for analyzing the captured images.
Connection with the ChatGPT model to interpret the results and determine the type of kidney stone.
AI Integration:
Use of the ChatGPT API to process image data and generate a detailed response.
Customization of responses to include recommendations on laser use, energy settings, and treatment techniques.
Additional Features:
Secure data storage and protection of patient privacy.
Ability to save results and generate reports.
Integration with medical databases if necessary.
Technical Requirements:
Proven experience in mobile app development for iOS and Android.
Knowledge in image processing and the use of artificial intelligence in mobile applications.
Ability to work with APIs and external services.
Capability to deliver clean, well-documented, and scalable code.