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,...
Multiple sections in UITableView iOS Swift. UITableView is very important part of iOS ecosystem. So we split tableviews in sections. Then its easier to find right information. 1. First let’s create a project as usual. Create a new single view application X code project. Set project name to UIViewController. 2. Go to main storyboard & select view controller & use UITableView 3. Select tableview & make it initial view controller 4 Create a custom Sections Class like Name => TableSections, create register cell static return “ getCellNibs ” method. Then create 4 section enum “TableItems” then after append all sections to an array model. import UIKit struct CellNib { static func getCellNibs () -> [ String ] { return [ "Cell1" , "Cell2" , "Cell3" , "Cell4" ] } } enum TableItems : Int { case TableSections1 ...