Board Solver Mobile (BSM) is a mobile aplication which leverages computer vision to solve for optimal next moves in common board games. BSM is built using an object detection model trained in CreateML based on YOLOv2. BSM currently supports Connect4 with future plans to add more!

Scripts, playgrounds, and apps for Swift Projects

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.

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.

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.

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 identification.

visionOS app sample app that illustrates using Create ML image classifier model.

SwiftUI sample app that uses Create ML image classifier to identify aircraft.

MarkOn is an iOS and macOS Photos extension and helper app that includes a variety of interesting Core Image filters (CIFilters)).

Aplicativo iOS capaz de analisar textos e identificar se foram gerados por inteligência artificial ou por um ser humano

Predict river flow rates based on historical data

Convert multi-label classification annotation data from .csv to .json for CreateML

Deploy CoreML Models on the Server with Vapor

Alphanumsym-Xcode

Application to detect plank pose during exercises.

CIFAR-10 trained with CreateML and a SwiftUI app for real time model testing. Kaggle Score: 0.69660

An iOS app that suggests recipes based on a photo of your ingredients, leveraging machine learning for accurate ingredient detection

Generate files to train with Object Detection by Create ML.

Readme, lecture slides and wiki from Block 2 of the Creative Coding Institute's 2023/2024 Diploma in Apple Development.

The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.