Inspiration
The burden on insurance workers shoulders every day could be easily taken away by using ML. Not only that, but the speed, at witch the insurance brokers could do their work could significantly decreas by getting rid of unnecassary repetative small tasks. We tried to solve the problem with the ability skill set we have, to ease not only the insurance worker job, but also the clients experience by getting small claim resolving on the go.
What it does
The add on could be easily added to any of the insurance companies apps with the ability to report a claim without having to call an employee or send the pictures to email. The image recognition allows the photos not only to be sent via app (dont have to use the computer and your email), but also gives the information about whether or not the photos are good enough and comply with the insurance companys rules. By putting in claims, you, as a customer, send real time data to the insurance brokers from your phone, by the app asking you specific questions that would usually be done by a person via phone. Small claims get executed quickly and with no employee intrusion at all.
How we built it
Python mostly? and Flask
Challenges we ran into
The specific rules for each company are different. Each company should have to make a pdf file of rules, that could create the specific library of trigger words for the app to generate specific questions.
Accomplishments that we're proud of
We're really proud of having a code that can easily read any pdf document or text and create a word library based on it.
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