Mulla6518

MobileBenchmark is an open-source iOS benchmarking suite that lets developers measure key performance characteristics of a device and app runtime — including CPU computation, memory behavior, disk I/O, GPU throughput, network performance, frame rendering quality, and sustained performance under thermal load. The goal of this project is to provide

A Swift Package for building a “code review bot” workflow in Swift — intended to automate review-style feedback (lint-like suggestions, heuristics, or AI-driven analysis) and integrate it into your development process.

SwiftUI3-Components is a collection of reusable, customizable UI components built with SwiftUI 3. It helps developers accelerate iOS app development by providing ready-to-use elements that follow Apple’s Human Interface Guidelines and leverage SwiftUI’s declarative syntax.

AI-AccessibilityKit is a Swift package designed to make iOS apps more inclusive by leveraging Core ML, Vision, and SwiftUI. It automates accessibility audits and enhancements, helping developers deliver WCAG-compliant, VoiceOver-friendly, and Dynamic Type-ready experiences.

Implements a machine learning-based SMS spam detection system. It classifies incoming text messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and supervised learning algorithms.