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Build an integrating artificial intelligence (AI)-Powered Mobile App

Creating an AI-powered mobile app involves integrating artificial intelligence (AI) technologies to solve specific problems or provide unique features. Here's an overview of how to approach building an AI-powered mobile app: Key Steps to Build an AI-Powered Mobile App 1. Define the App's Purpose and Use Case Identify the problem your app will solve or the value it will offer. Examples of AI use cases in mobile apps: Chatbots (e.g., virtual assistants like Siri) Image Recognition (e.g., object detection, face recognition) Speech Recognition (e.g., voice commands, transcription) Recommendation Systems (e.g., personalized content or product recommendations) Predictive Analysis (e.g., health tracking, financial forecasting) Natural Language Processing (NLP) (e.g., sentiment analysis, language translation) 2. Choose an AI Technology or Framework Select the appropriate AI technologies or frameworks based on your use case: Machine Learning : Core frameworks: TensorFlow, PyTorch,...
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Rest Api in swift 4 Using URLSession And JSONSerialization Xcode 9 Example

A Short Example call Rest Api with JSON Foundation framework NSURLSession and NSJSONSerialization -



Getting Started - Basic Rest API request with Swift 4

func restApiRequest(){
let sessionConfig = URLSessionConfiguration.default
// Session Configuration
        let sessionUrl = URLSession(configuration: sessionConfig)
// Load configuration into Session
        let url = URL(string: "YOUR URL STRING")!
        let task = sessionUrl.dataTask(with: url, completionHandler: {
            (data, response, error) in
                if error != nil {
                    print(error!.localizedDescription)
                } else {
                    do {
                        if let json = try JSONSerialization.jsonObject(with: data!, options: .allowFragments) as? [String: Any]
                        {
                            print(json)
                        }
                    } catch {
                        print("error in JSONSerialization")
                    }
                }})
        task.resume()
}



AMZ Researcher - FBA revenue calculation


AMZ Researcher - FBA revenue calculation

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