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,...
SOLID Principles in Swift - ( Single Responsibility Principle(SRP), Open/Closed Principle, Liskov Substitution Principle, Interface Segregation, Dependency Inversion)
SOLID Principles in Swift Single Responsibility Principle Open/Closed Principle Liskov Substitution Principle Interface Segregation Dependency Inversion S - Single Responsibility Principle(SRP) Single Responsibility Principle (SRP) is that every class, module, or function in a program should have one responsibility(Task) in a program. Example:- A Simple Class For multiple Responsibility class SimpleHandler { func simpleHandle() { let data = requestToDataAPI() let array = parseToResponse(data: data) saveToDatabase(array: array) } private func requestToDataAPI() -> Data { // Networ...