A Streamlit web application that predicts loan eligibility using machine learning (scikit-learn). Users provide personal and financial details through the web interface, and the app determines the likelihood of loan approval. Built with Python, Streamlit, and a trained model from CSV data.
Thrive is a machine learning-based web application that predicts whether a user is likely to be approved for a loan.
The app is built using Python, Streamlit, and scikit-learn, and it uses a dataset in CSV format to train a predictive model.
Users can input their personal and financial details (such as income, credit history, loan amount, and employment status), and the app provides a prediction on loan eligibility.
- Clone this repository
git clone https://github.com/your-username/Thrive-Loan-Prediction.git cd Thrive-Loan-Prediction
Install dependencies Make sure you have Python installed, then run:
pip install -r requirements.txt
Run the Streamlit web app
streamlit run Model/Bank_Loan_Prediction.py
Open the app in your browser After running the command, Streamlit will provide a local URL (usually http://localhost:8501). Open it in your browser to use the app.
