Elevate AI challenge. We decided to create a solution for them to verify customer before lending money using two machine learning models.
What it does
This program uses two models. The first model tells you if a user is fraudulent based on his or her background and the second model helps prevent fraudulent transactions.
How we built it
We collected datasets on User credibility based on factors like their Cred card History, Employment status, Checking and Saving account status. Three major sources of information are considered: Bank related activities, Credit activities, and Living standards. We also collected datasets on credits loaned to genuine users which failed to pay back either due to genuine reasons or planned deception.
Challenges we ran into
Finding Dataset, Feature engineering, Picking the right model. Training models
Accomplishments that we're proud of
Model accuracy 95%+