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About Vanderwaals
Vanderwaals On-device wallpaper personalization powered by MobileNetV4 What is Vanderwaals? Vanderwaals is an Android wallpaper application that uses on-device machine learning to personalize wallpaper recommendations based on visual taste. It runs MobileNetV4-Conv-Small feature extraction locally on your phone without sending image or preference data to external servers. Screenshots Download System requirements Android 11.0 (API 30) or higher 50 MB storage space for application assets and cache Internet connection for catalog synchronization and image downloads Core features **On-device machine learning**: MobileNetV4-Conv-Small extracts 1280-dimensional embeddings to match aesthetic styles locally. **Curated collections**: Over 6,000 wallpapers from community repositories and 5,400+ daily Bing photography wallpapers. **Privacy-first design**: 100% offline inference, zero tracking, and no telemetry SDKs. **Quantized manifests**: Embeddings are quantized to int8, reducing manifest payload size from 60 MB to ~8 MB. **Automated changes**: Schedules wallpaper rotation on device unlock, fixed intervals (1h to 24h), or daily at a set time. **Liquid glass UI**: Frosted glass interface built using background slice pre-rendering to overcome Jetpack Compose layout blur constraints. How it works 1. Feature extraction Vanderwaals uses MobileNetV4-Conv-Small via TensorFlow Lite to convert…
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