Loan Hub

Inspiration: we saw the inefficiencies about how people would have to submit different applications with different questions on each application and each bank doing different things. we basically took that and we created one application where you can go and all the information is there and it will predict if you are able to get a loan for now. later we can also update it for loan officers in a sense where they can go and search up that information and easily get it from there instead of looking around different places to find the information

What it does: It streamlines Loan Services

How we built it: We built it using a ML code to take input from a form that was created on an app the service we used for that app first was FlutterFlow and then Flask.

Challenges we ran into: While making the front end we ran into the problem that the signup for the app was never working and that it would not register the data of you signing up. we also ran into the problem that FlutterFlow made it almost impossible to take the ML code and connect it to the front end so we had to pivot to a different software for the front end which would be Flask

Accomplishments that we're proud of: we are able to create a prototype of something that can actually help a lot of people and save a lot of time for the loan officers that have to go and find out most of this information from other places.

What we learned: we learned how to build UI for apps and basically all the basics about this type of front end design.

What's next for Loan Hub: we will keep refining it and we will try to continue to work to connect it to the flutterflow app which was much more advanced and better than the flask app we ended up using.

Built With

• fastapi
• firebase
• flask
• flutterflow
• googlecollaberation
• jupyter
• python
• scikit-learn
• visual-studio