Inspiration

Our inspiration is the Alipay app that exists in China, its 3-1-0 rule (3 minutes to apply for credit, 1 second to get approved, 0 manual operation) and its 2-1-2 rule (2 minutes to file an insurance request, 1 seconds to get approved, 2 hours to received a reimbursement).

What it does

It can take months to get approved for a credit or accepted for an insurance and still, the number of error (bad investment) is important. This the problem Sansan wants to solve.

The app is an Insurance and Credit app for Gen-Z. It aims to combine AI with human intelligence to make faster and better decisions, which make us more competitive.

The user first fills a bunch of personal informations. This would eventually help our Machine Learning to make a classification between people who we can trust and give a credit/an insurance and the others. Moreover, making the user fill all these infos will make it possible to apply for credit and insurance faster therefore (since we would already have all the infos about the user, it'll just be a checking).

How we built it

We made the design with Figma and partially exported the code with Zeplin in React.

Challenges we ran into

It was challenging to build a cool UI and provide the best UX as possible while the user do something very serious : asking for credit or an insurance.

What's next for Sansan

I want to make it fully functionnal and add the possibility for the user to ask reimbursement (insurance).

Github

We couldn't finish the project fully, anyway here is the github repo: https://github.com/ssantoshp/Sansan

Discord

Santosh#9328

Built With

  • figma
  • zeplin
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