MathCam

📱 Overview

MathCam is a powerful iOS application that allows users to solve mathematical problems by simply taking a photo. Built with SwiftUI and integrated with machine learning models, this app brings the convenience of optical character recognition (OCR) to mathematics, making problem-solving faster and more intuitive.

---

✨ Features

📸 Camera Integration

• Real-time camera preview with frame guides
• Photo capture functionality for math problems
• Machine learning powered image processing for accurate text recognition

🧠 ML-Based Math Solver

• Advanced OCR for equation detection
• Intelligent equation parsing and solving
• Support for a wide range of mathematical notations

🧮 Built-in Calculator

• Comprehensive mathematical operations
• Support for basic arithmetic: +, -, ×, ÷
• Advanced functions: trigonometry, logarithms, calculus symbols
• User-friendly interface with intuitive controls

📋 Menu System

• Language selection (currently English)
• Settings configuration
• Help center access
• About information
• Premium features (MathCam Plus)

---

🛠️ Technical Architecture

Core Components

• Frontend (iOS)

  • SwiftUI: Modern declarative UI framework
  • AVFoundation: Camera and photo capture capabilities
  • Combine: For reactive programming and API integration

• Backend

  • FastAPI: High-performance Python web framework
  • TensorFlow: Machine learning framework for OCR and equation solving
  • SymPy: Symbolic mathematics library

For more details on the architecture, see ARCHITECTURE.md.

---

🔄 Workflow

graph TD
    A[Launch App] --> B[Camera View]
    B --> C{User Action}
    C -->|Take Photo| D[Process Math Problem]
    C -->|Open Calculator| E[Manual Calculation]
    C -->|Open Menu| F[App Settings]
    D -->|Send to ML Backend| G[OCR Processing]
    G --> H[Math Solver]
    H --> I[Display Solution]
    E --> J[Display Result]

Loading

---

🚀 Getting Started

Prerequisites

• Frontend

  • iOS 18.4+
  • Xcode 16.3+
  • Swift 5.9+
  • iPhone with camera access

• Backend

  • Python 3.8+
  • Required packages listed in backend/requirements.txt

Installation

Frontend

1. Open frontend/MathCam/MathCam.xcodeproj in Xcode
2. Build and run on your device

Backend

1. Navigate to the backend directory: cd backend
2. Install required packages: pip install -r requirements.txt
3. Start the API server: python -m api.main

---

🔮 Future Enhancements

• Handwriting recognition
• Step-by-step solution explanations
• Problem history and favorites
• Cloud synchronization
• Multi-language support
• Dark mode support
• Offline capability

---

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

---

👨‍💻 Author

Cyprien OUDART

---

"Making mathematics accessible through technology"