Alert SOS

Inspiration

During our initial market research, we discovered that emergency service calls fell by over 26% during the pandemic, whilst crimes such as domestic violence rose extremely quickly. We felt as though this negative correlation was highly dangerous and left lots of people vulnerable to an attack. Therefore, we wanted to create this application to make a change in the world.

What it does

To use SOS effectively, users must navigate to our webpage which allows them to click an alert button to start up backend features. At the backend, the police will gain access to real-time tracking that allows an officer to detect the victim’s location.

Moreover, after the user has hit the SOS alert, the police will also gain access to the user’s whole phone and data. To speed up the process of tracking our application uses machine learning-powered audio recognition to convert surrounding sounds from the phone's microphone to text, which will then be categorized using ML to toxic and non-toxic bubbles. This gives officers a better idea of the situation which can also be used for possible evidence.

The police are also able to access the victim’s camera using AI vision in order to gain a better knowledge of how the situation is being moved. This is done through local police officers tracking the phone through AI vision to take thousands of pictures of the victim's area to detect landmarks. Over time this technology will become better the more the ML is trained with more images