Our app detects all the points on the faces and according to that tracks the blinking of eyes, yawning and movement of head. Falling asleep while driving accounts for a considerable proportion of vehicle accidents under monotonous driving conditions. Many of these accidents are related to work—for example, drivers of lorries, goods vehicles, and company cars. Time of day (circadian) effects are profound, with sleepiness being particularly evident during night shift work, and driving home afterwards. Circadian factors are as important in determining driver sleepiness as is the duration of the drive, but only duration of the drive is built into legislation protecting professional drivers. Older drivers are also vulnerable to sleepiness in the mid-afternoon. our app also supports SOS system.
challenges we ran into were that we were not friendly with ML. our team collectively learned the new technologies and worked together. We were facing issues with integrating Ml with android studio for which we found a pre made library known as medipipe. and then inserted all the data according to it
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