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advertisements

AnchorID is a privacy-preserving creator monetization platform that connects identity, product sponsorships, and earnings into a unified system. Instead of traditional ads, creators intentionally select products to align with their identity while earning through tips and performance-based sponsorships. Built with KYC compliance, encrypted financial reporting, fraud protection, and AI-driven optimization, AnchorID creates a transparent and identity-powered marketplace where influence is directly tied to verified trust and measurable engagement. https://roxanneardary.com/anchorid/

AdAutoCloser is a lightweight, open-source Android application built in Kotlin that automatically detects video advertisements and clicks the skip button (X) as soon as it becomes available. The app leverages the Android Accessibility API and ML Kit for visual recognition, ensuring a seamless and efficient user experience by reducing unwanted interruptions.

Key Features:

• Real-time ad detection: Continuously monitors video streams to identify advertisements as soon as they start. • Automated skipping: Instantly clicks the skip button (X) when it appears to close the ad. • Customizable settings: Users can adjust detection sensitivity and behavior to suit their viewing preferences. • Optimized performance: Designed to run efficiently in the background with minimal resource and battery usage. • Native integration: Utilizes Android's native Accessibility Service for robust and responsive interaction. • Local operation: All detection and automation processes are performed entirely on-device, with no reliance on external servers, ensuring maximum privacy. • Open-source and collaborative: Encourages community contributions and continuous enhancements. • Available on F-Droid: Distributed via F-Droid to ensure free and privacy-respecting access.

Technology Stack:

• Language: Kotlin • Frameworks & APIs: Android SDK, Android Accessibility API, and Android Jetpack (for background processing, lifecycle management, and modern app architecture) • Visual Recognition: ML Kit (with potential integration of OpenCV as an alternative or backup) • Automation: Android Accessibility Service • Tools: Developed in Android Studio with CI/CD integration via GitLab