1. Identify Potential Defaulters and reduce risk
2. Microloans can be approved faster, than the manual process
3. Automate the loan approval process
4. Gets a customer Risk Profile
5. Continuous Evaluation of Customer Risk Profile Leading to better financial decisions


describe what can people use it for, or how it makes existing tasks easier/safer e.t.c (markdown supported)

The problem it solves

tell us about any specific bug or hurdle you ran into while building this project. how did you get over it? (markdown supported)

Challenges we ran into

scikit-learn

pandas

Matplotlib

Python

Streamlit

loan-status-and-risk-profiling

loan-status-and-risk-profiling

About A machine Learning model that returns the loan status (whether the loan will be defaulted or not),.. whether the loan will be approved or not,.. from user input.

The problem loan-status-and-risk-profiling solves