The app is made with the goal to provide ambulance services faster by registering taxi drivers as the volunteers to help the people and do this holy cause.
This app helps in getting fast and cost effective ambulance services using its advance working mechanism and ML model.
Our Machine Learning model predicts the probability of accident in a certain region and helps us to find the accident prone areas at that very moment. It makes use of various factors such as time, place, day, population and many more. It has one more added functionality in which it also keeps a check of places where the covid patients are rising to be at their help at every time.[under development]
This application is being designed and created on Flutter which makes it a cross platform application. It has been tested for android only for now. This application helps the user to book an ambulance instantly. The app itself finds the nearest driver and the nearest hospital and guide the user.
For the guidance of driver to user and then to the hospital, we have made use of MapBox. With the help of MapBox and its APIs, we have implemented a real time navigation system with voice commands.
We used node js to connect back end and front end using a server. It primarily acted as a bridge between python code and firebase database.