End-to-end AI/ML projects, from data preprocessing to deployment
Predicts loan repayment risk using financial history. Built with LightGBM, Flask, and Angular.
This project is built using Angular, Flask and LightGBM model. The model is trained using entirely synthetic data generated by the python script in the app.
It aims to predict the probability of a loan applicant defaulting on a loan based on a wide range of synthetically generated financial, demographic, and behavioral data.