ReadAI - AI Resume Checker

ReadAI is a professional iOS application designed to help users identify AI-generated content in resumes and documents. By leveraging OCR, PDF parsing, and the Sapling AI API, it provides a real-time probability score for text authenticity.

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🚀 Key Features

• Live Camera Scanning: Uses VisionKit and DataScannerViewController to capture text directly from physical documents.
• Multi-Format Support:
  • PDF/Text Files: Extracts text from digital documents using PDFKit.
  • Photo Library: Processes saved images through the PhotosPicker and Vision OCR.
• Real-Time AI Detection: Connects to the Sapling AI API to distinguish between "Human Written" and "AI Generated" content.
• SwiftData History: Automatically persists every scan, including the file name, AI score, and result text, for future reference.
• Intuitive UI: Features a custom ResultGauge that visually maps AI probability scores.

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🛠 Tech Stack

Component	Technology
Framework	SwiftUI
Persistence	[cite_start]SwiftData [cite: 1]
OCR/Vision	Vision & VisionKit
PDF Engine	PDFKit
Networking	URLSession with JSON Serialization

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📁 Project Structure

• [cite_start]ReadAIApp.swift: Initializes the sharedModelContainer and sets the app entry point[cite: 1].
• MainDetectorView.swift: The primary dashboard managing all input methods and result triggers.
• DetectionViewModel.swift: The core logic layer handling OCR processing, PDF extraction, and API calls.
• ScannedResume.swift: The SwiftData model defining the schema for saved scan results.
• HistoryView.swift: Provides a list of all past scans sorted by date.
• DataScannerViewController.swift: A UIViewControllerRepresentable bridge for live text scanning.

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🚦 Getting Started

Prerequisites

• Xcode 15.0+
• iOS 17.0+ (Required for DataScannerViewController and SwiftData)
• Sapling AI API Key

Setup

1. Clone the Repository:

   git clone [repository-url]

2. API Configuration: Ensure your API key is correctly set in DetectionViewModel.swift.
3. Permissions: The app requires the following in Info.plist:
   • NSCameraUsageDescription: For live scanning.
   • kTCCServiceMediaLibrary: For file and photo access.

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📝 Usage

1. Select Input: Use the Live Scan, Upload Photo, or Upload File buttons on the main screen.
2. Analyze: The app extracts text and communicates with the detection server.
3. Review Results: View the result gauge. A score above 70% triggers an "AI Generated" warning.
4. Check History: Tap the clock icon in the toolbar to view previous scans stored in the database.

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🛡 Performance & Privacy

• Thread Safety: UI updates are performed on the Main thread after background API responses.
• Security: Uses security-scoped resource markers for document picking to maintain iOS sandboxing standards.