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WakeProof is an intelligent alarm clock app developed with Flutter. It uses on-device machine learning and sensor data to verify whether users are truly awake. Combining physical activity detection and cognitive challenge tasks, the project aims to solve the problem of traditional alarms being turned off unconsciously.
Section 01
WakeProof is an intelligent alarm clock app developed with Flutter. It uses on-device machine learning and sensor data to verify whether users are truly awake, combining physical activity detection and cognitive challenge tasks to solve the problem of traditional alarms being turned off unconsciously.
Section 02
Waking up groggily, turning off the alarm, and going back to sleep leading to being late is a common problem for modern people. Traditional alarms can be turned off with just a light tap, which is easily done unconsciously in a half-asleep state. This pain point gave birth to the WakeProof project.
Section 03
WakeProof is an Android intelligent alarm clock developed with Flutter. Its core design philosophy is 'verifying true wakefulness', which is a multi-layer verification system combining sensor analysis, machine learning, and cognitive challenges. The vision is to ensure users are indeed awake when they turn off the alarm.
Section 04
When the alarm is triggered, it collects motion data via accelerometer and gyroscope. The on-device ML model infers the state (awake/groggy/stationary) in real-time, and only proceeds to the next stage if the confidence level meets the standard.
After passing the sensor verification, users need to complete random cognitive tasks (math calculations, pattern recognition, etc.). If successful, the alarm is turned off; if failed or timed out, the alarm rings again.
Section 05
Section 06
Currently, alarm management and local storage have been implemented. Future plans include:
Section 07
WakeProof adheres to the local-first principle. All data processing (ML inference, sensor analysis) is done on the device. User sleep data is not uploaded to the server, fully protecting privacy.
Section 08
WakeProof combines machine learning, sensor technology, and mobile development to solve daily problems, which is an example of technology serving people. After continuous development and improvement, it will bring efficient mornings to more people and also provide reference value for Flutter developers and ML enthusiasts.
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