Android alarm libraries
⏰React Native library for interacting with Android alarms.
React Native library for Android: Schedules and displays alarms
An Android music picker library for picking alarm, notification or ringtones sound using an Activity or a dialog.
A simple library written in Kotlin that allows you to set an alarm and get notified really easily.
Android and iOS library to manage alarms based on schedules, e.g., On between 9 AM an 5 PM daily. Everyday at 9 AM an "on" alarm will trigger, and at 5 PM an "off" alarm will trigger.
Simple Alarm Manager is library which can be used to create, cancel and to handle onBoot, OnTimeChange and OnTimeZone cases to avoid 100 lines of code to trigger alarm using alarm manager.
This Android App notifies you when your battery is fully charged. You can also select battery level and many customizations from settings screen. This App uses Repository pattern along with latest Android Framework Libraries and Best Practices to maintain clean code . The app is also available on Playstore
A library which helps to schedule time-exact tasks(calendar reminders, alarms, etc.)
Alarms library based primarily on Chetch Messaging socket comms
Android library for implementing customizable alarm clock applications
Alarm Manager Simplify is a code generation library to simplify the code for AlarmManager on Android.
this is a test project to create an alarm app with latest libraries offered by android
A major problem when you're working with beacons is the Android Oreo and Pie services limitation, thus to remedy these shortcomings, this projects uses AlarmManagers + Services + Broadcastes with AltBeacon library for beacon background detection without the weird fixed notification.
SmartTimePicker is an android library for pick the time with day/night detection and awesome acceleration
A Kotlin/Compose Multiplatform library for effortless alarm and local notification scheduling on both Android and iOS.
An Android Library to make setting an alarm.... "simpler"
Driver drowsiness is the most critical cause of road accidents so detection of drowsiness play a vital role in preventing road accidents. We are developing an android app that will alert drivers before an accident occurs. This will reduce the number of road accidents on a road. Drowsiness is a natural phenomenon that happens in human body due to different factors. Machine learning was applied to predict drowsiness and improve drowsiness prediction using facial recognition technology and eye-blink recognition technology. In this app, front camera will take a picture of drowsy driver then this picture will be taken as input. In processing the detected image, we are using OpenCV Library. OpenCV Library uses Haar Cascade Classifier for detection images such as eyes and face. Eyes and face will be the target in this system. This application will be implemented on Android Operating System. Drowsiness detection system will send alert to the driver when the driver feels asleep while driving a car, this can avoid accidents. Driver which is the user in this application, if they close their eyes within one second, the sensor which is the front camera in the smartphone will catch and process this event and then trigger the system to give voice alert to the user. Moreover, if the driver is willing to turn on back camera then it will detect the lane detection violation and will calculate the distance from the vehicle ahead of it. If the distance is too close, then it will generate an alarm. It will also generate an alarm if there is a violation of the lane on the road.
An all-in-one planner, notes, and lists app for Android using the Room persistence library, Alarm Manager, Work Manager, and a few other features of the Android framework.
(First) Android application allowing users to create and save notes/alarms. To store notes, the application uses the Room library which stores the data locally, providing a layer of 'abstraction' over SQLite.
