WiseLens (慧眼)

A mobile application designed to help the elderly identify fake news and misleading information online.

Project Structure

media_filter/
├── backend/          # Python FastAPI Backend (for web app)
│   ├── main.py       # API Service
│   ├── requirements.txt
│   └── .env.example
├── ios/              # iOS App - iPhone only (Kotlin Multiplatform + SwiftUI)
│   ├── composeApp/   # Shared Kotlin logic (calls DeepSeek API directly)
│   └── iosApp/       # SwiftUI app + Share Extension
├── android/          # Android App (Kotlin Multiplatform + Jetpack Compose)
│   ├── composeApp/   # Shared Kotlin logic + Compose UI
│   └── gradle/       # Gradle build configuration
└── web/              # Web App (Expo) - requires backend
    ├── app/          # Application Pages (Router)
    └── lib/          # Utilities & API client

Quick Start

1. Start Backend

cd backend

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Configure API Key
cp .env.example .env
# Edit .env and fill in your DEEPSEEK_API_KEY
# Note: Currently uses DeepSeek API (OpenAI compatible)

# Start service
python main.py

The backend will run at http://localhost:8000

2. Run iOS App (iPhone only, no backend required)

cd ios
./gradlew :composeApp:linkDebugFrameworkIosSimulatorArm64

Then open ios/iosApp/iosApp.xcodeproj in Xcode and run.

Note: The iOS app calls DeepSeek API directly and does not require the backend service.

3. Run Android App (no backend required)

1. Open the android/ folder in Android Studio
2. Wait for Gradle sync to complete
3. Select an emulator or connect a physical device (API 24+)
4. Click Run ▶ to build and launch

Note: The Android app calls DeepSeek API directly, same as the iOS version.

4. Run Web App (requires backend)

cd web
npm install
npm run web

The web app will run at http://localhost:8081

Note: The web app requires the backend service to be running.

Features

• WeChat Official Account article link analysis
• Direct text input analysis
• Credibility assessment (Reliable / Caution / Misleading)
• Detailed analysis explanations
• iOS Share Extension (share directly from Safari/WeChat)
• Android Share Intent (share from WeChat/browsers)
• Dark/Light theme support
• Douyin video analysis (Planned)
• WeChat Video Channel analysis (Planned)

Tech Stack

• Backend: Python, FastAPI, BeautifulSoup, DeepSeek API
• iOS: Kotlin Multiplatform, SwiftUI, Ktor
• Android: Kotlin Multiplatform, Jetpack Compose, Ktor
• Web: React Native (Expo), TypeScript

Computerization

Developed by the Computerization club, with the assistance of deep neural networks (to learn more, see AI Lab). We are dedicated to helping the community through technology.