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Android - Kotlin

Android app which will be integrated with REST server which is part of Spring Boot Web App from my other repository. I tried to use Model-View-ViewModel (MVVM) architecture, which is highly recommended by Google.

notification_hub is a lightweight, open-source Android application built in Kotlin that monitors incoming SMS messages from user-selected apps in real time and automatically initiates a voice call to deliver a pre-recorded alert. Unlike many approaches that depend on external servers, notification_hub processes all notifications locally, offering maximum privacy and full customization tailored to each user.

Key Features: • Real-Time SMS Detection: Constantly monitors designated SMS sources and instantly detects incoming messages. • Automated Voice Alerts: On receiving an SMS, a phone call is automatically triggered to play a pre-recorded alert message. • Local Multi-Channel Integration: Offers on-device support for local Discord and Telegram bots, meaning each user’s bot is integrated directly into the app. • Customizable Settings: Users have full control over SMS sources, voice messages, and notification channels, with settings securely stored on the device. • Efficient On-Device Operation: Designed to run seamlessly in the background with minimal impact on battery and system resources. • Available on F-Droid: Distributed via F-Droid to ensure free and privacy-respecting access.

Technology Stack:

• Language: Kotlin • Frameworks & APIs: Android SDK and Android Jetpack (WorkManager, Foreground Service) • Telephony Management: Native Android Telephony APIs for SMS detection and voice call management • Data Persistence: Room Database for secure, on-device configuration storage • Development Tools: Built with Android Studio and integrated with CI/CD on GitLab

notification_hub empowers users with a secure, customizable, and efficient solution for managing communications locally, whether through SMS, voice calls, or additional messaging platforms—all without compromising user privacy.

smart_battery_android

A lightweight, open-source Android application designed to help users optimize battery health by notifying them when to charge and unplug their device based on ideal battery percentage ranges. The tool monitors battery levels in real-time and provides customizable notifications when it’s time to take action, helping extend battery lifespan. All monitoring and notifications are processed locally on your device, ensuring maximum privacy.

Key Features:

• Real-Time Battery Monitoring: Continuously tracks battery levels. • Configurable Thresholds: Users can set personalized notification triggers (e.g., start charging at 35%, unplug at 75%). • Customizable Notifications: Users can choose between toast notifications or standard status bar alerts. • Secure Local Settings: All preferences are stored securely on the device using Jetpack DataStore. • Efficient Background Operation: Employs a hybrid strategy (WorkManager for periodic checks, and real-time listeners like BroadcastReceiver for intensive monitoring near thresholds) to minimize battery impact while ensuring timely alerts. • Privacy-Focused: All operations are performed locally; no data is sent to external servers. • Open-Source & Customizable: Freely available on GitLab and adaptable to user needs. • Available on F-Droid: Distributed via F-Droid for easy, privacy-respecting access.

Technology Stack:

Language: Kotlin

• UI: Jetpack Compose • Background Processing: Android WorkManager, BroadcastReceivers (and potentially Foreground Services for intensive phases) • Notifications: Android NotificationManager • Data Storage: Jetpack DataStore • Development Tools: Android Studio, GitLab CI/CD

smart_battery_android empowers users with a secure, customizable, and efficient solution for managing their Android device's battery health, all while respecting user privacy.

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

پروزه ساده استفاده از API و Frgment ,,...با استفاده از Kotlin