We were inspired by the real life problems that are suffered with the time it takes to get a response from the insurance companies, this in the context of crashes, as we know from personal experience what is suffered. We were also very interested in being able to contribute to society from our trench, since we are fond of technology, challenges and programming.
What it does
Our application consists of a prototype in which we present a pre-evaluator of automotive incidents, which can make reports and an approximate adjustment of accounts for the client or adjuster, in addition to gathering all the information to then offer it to insurance companies, or to the government for public works, and to improve the prevention of crashes. We do this by means of the heat map, which is updated in real time, according to the incidences that are registered in real time.
How we built it
We use different technologies, React with node js, Looker Studio, C# for the backend and as a database, sql server in aws. First we build the database, then the backend, and finally the frontend.
Challenges we ran into
We faced the time, to learn things in a short time and in general to the mistakes that always happen in programming, added to this, that it is our first hackathon, so at the beginning we had uncertainty.
Accomplishments that we're proud of
We are proud of the fact that we were able to achieve this in a short time, and that we formed a very good union in the team, which helped us to finish the project, since we supported each other at all times.
What we learned
New technologies such as cloud computing, Looker Studio, new concepts such as Networking.
What's next for Life-Ensure
Trained AI model that will evaluate the magnitude of the crash by means of a photograph, for this we would need business and statistical data.