The problem Drive Safe solves

According to an TOI article published in 2020, Sleep-deprived drivers are responsible for 40% of road accidents,
given that India tops the global accident and fatalities charts.

Our goal is to introduce Artificial intelligence to solve this problem and create
a platform that can keep an eye on the drivers and alert them if they show
any signs of drowsiness.

Scalability for future-
A SOS notification system can be also integrated.

An Infrared camera can also be integrated and the model will be trained according to it, So, that it can work in any lighting condition.

Challenges we ran into

1. Integrating a browser based AI model in our web app via tensorflow.js

2. To select a model which uses less computational power which can be operated on a web browser, so we used

3. MobileNet Model as makes it a perfect fit for Mobile devices, embedded systems and computers without GPU or low
   computational efficiency with compromising significantly with the accuracy of the results.

4. It is also best suited for web browsers as browsers have limitation over computation,graphic processing and storage.

5. Implement a model which can work on car dashboards as well, so we made another version of it in python as well which uses CNN.

6. Implementing sound alerts in the web app according to the state of the driver.