Loan Eligibility Prediction
Budget: ₹1,500 – ₹12,500 INR
In this Project:
the user can determine if he could be eligible for the loan.
and if not then the lower amount that could be sanctioned accordingly.
There will be 2 types of loan: Personal, Housing
Frontend: A UI web interface containing a form that will be hosted on the cloud
which will allow the user to enter the details or criteria.
Backend: ML models with the highest f1 score or efficiency.
Need to show all data cleaning, normalization, and various classification accuracy,f1, AUC, roc score, and proper data visualization.
the user can determine if he could be eligible for the loan.
and if not then the lower amount that could be sanctioned accordingly.
There will be 2 types of loan: Personal, Housing
Frontend: A UI web interface containing a form that will be hosted on the cloud
which will allow the user to enter the details or criteria.
Backend: ML models with the highest f1 score or efficiency.
Need to show all data cleaning, normalization, and various classification accuracy,f1, AUC, roc score, and proper data visualization.