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,...
Async await Async await is a new structured concurrency change that arrived in swift 5.5 during WWDC 2021. Concurrency in swift allowing multiple pices of code run at the same time. With the new async methods and await statement, we can define methods performing work asynchronously. A sync replaces closure completion callbacks Completion callbacks were common in Swift to return from an asynchronous task, Exp:- func fetchImages(completion: (Result<[UIImage], Error>) -> Void) { // .. perform data request } What Is Async Async stand for asynchronous func fetchImages() async throws -> [UIImage] { // .. perform data request } This async method throw async which means that it’s performing a failable asynchronous task. The method would return a collection of images if everything went well otherwise throws an error if something went wrong. What is await? Await is the keyword to be used for calling Async method. You can say Async & Await...