A fun dice rolling app created with SwiftUI, allowing users to roll two dice and view the results instantly.

A real-time chat application that enables users to send and receive messages instantly. Features include user authentication and real-time updates using Firebase.

A cryptocurrency price tracker app that retrieves Bitcoin prices based on user-selected currencies. Utilizes API calls to fetch live data and displays it in a user-friendly interface.

A weather app that retrieves and displays current weather data using the OpenWeatherMap API. Features include location-based updates and user search functionality.

A tip calculator app created as part of Section 12 in the Complete iOS Development Bootcamp. This project allows users to input bill amounts and select tip percentages, providing real-time calculat…

A custom iOS app that quizzes users to determine their Hogwarts house, developed independently using UIKit and MVC structure. Implements multiple view controllers and progress tracking for an engag…

A multi-screen BMI calculator app created as part of Section 11 in the Complete iOS Development Bootcamp. It uses segues for navigation and prepare(for segue:) to transfer data.

An interactive story app created as part of Section 10 in the Complete iOS Development Bootcamp. This project features a branching narrative based on user choices.

A trivia quiz application built as part of Section 9 in the Complete iOS Development Bootcamp. Utilizes the MVC pattern and features a dynamic question structure for easy updates and expansions.

A cooking timer app created as part of Section 8 in the Complete iOS Development Bootcamp. Features a countdown display, audio alerts, and customizable cooking times.

A music app developed as part of Section 7 in the Complete iOS Development Bootcamp. Users can play sounds by tapping buttons, utilizing AVFoundation for audio playback.

A simple calculator app that focuses on Auto Layout and stack views for arranging UI elements.

A playful app that generates random responses to user inquiries, demonstrating skills in randomization and array manipulation within Swift.

A fun dice rolling app showcasing basic UIKit Auto Layout principles, which I refined after Section 6 to enhance its layout and responsiveness.

A straightforward iOS app developed as a fun project, highlighting my ability to create a user-friendly interface with a humorous twist, as explored in Section 3 of the Angela Yu iOS Development Bo…

Basic iOS app displaying a wealth-inspired message. Built to practice setting up a project in Xcode, adding visual elements, and exploring iOS UI basics in Section 2 of the Angela Yu iOS Developmen…

A visually appealing resume application built with SwiftUI, showcasing essential personal information and contact details in a structured layout.

A todo list application built with Core Data, enabling users to manage their tasks with a simple interface and search functionality.

A todo list application built with Realm, allowing users to efficiently manage tasks with a user-friendly interface and quick search functionality.

A quote app featuring StoreKit-based in-app purchases to unlock premium quotes. Includes transaction handling, purchase restoration, and purchase status saving using UserDefaults.

Personal challenge app built to classify images using Core ML and Vision with a SwiftUI interface. Integrates a custom ImagePicker for seamless image selection and real-time feedback on object iden…

iOS plant identification app using Core ML and Wikipedia API for detailed plant insights. Features camera-based image capture and dynamic image display for an enhanced, interactive experience.

iOS AR app leveraging ARKit and SceneKit for an immersive dice-rolling experience. Features high-resolution USDZ dice models, plane detection, and device motion-based interactivity.

A personal AR project displaying a realistic 3D model of the moon with 8K texture mapping. Built with Swift, ARKit, and SceneKit for a highly immersive visual experience.

An AR iOS app using raycasting to measure distances between two points, rendered in real-time using ARKit and SceneKit. Includes user-friendly markers and text labels.

Core ML model trained to classify images of dogs, cats, and rabbits with high accuracy. Developed with Create ML and optimized for integration in iOS applications.

High-accuracy Core ML model for sentiment analysis trained on a large-scale dataset. Built with Create ML to classify sentiment for tweets and general text inputs, bypassing Twitter API dependencies.

Asynchronous News Fetching with Swift Concurrency - Udemy iOS Concurrency Course Project

Asynchronous Random Image and Quote Fetching with Swift Concurrency - Udemy iOS Concurrency Course Project

A project from my Udemy SwiftUI Masterclass course.