The main goal of this project is to create a tool that allows users to input various parameters, such as gender, marital status, dependents, educational level, loan amount, etc. and predict whether they will be approved for a home loan. Technologies we use are Machine Learning (ML), HTML/CSS, Python Flask_powered API.

You can simply browse to the following webpage

https://homeloanpredictor.azurewebsites.net

https://www.kaggle.com/datasets/rishikeshkonapure/home-loan-approval?select=loan_sanction_train.csv. (The dataset contains relevant features that will be essential for training our machine learning mode)

Deep Learning model

Logistic Regression model

Random Forest Model

Ultimately, we have decided to use the Logistic Regression Model, which had an accuracy score of 79.7%.

The presentation for this assignment can be found using the following link

https://1drv.ms/p/s!AsmcKhEqCm-sg3Hxz-MJCbIDYWvE?e=nQGGVN

Fedorenko Olena

Chen, Xing Ying

Saliaj, Evis

Nys, Brecht