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sahiljadhav1221 commited on
Commit Β·
18e853f
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Parent(s): e93c178
Added screenshots and updated README
Browse files- README.md +57 -16
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- assets/predict.png +0 -0
README.md
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# π¦ Loan Prediction System
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Machine Learning-based loan
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## π Features
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- Real-time loan prediction
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- Random Forest ML model
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- Clean UI with Streamlit
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- Modular code structure
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```bash
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pip install -r requirements.txt
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streamlit run app.py
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# π¦ Loan Approval Prediction System
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A Machine Learning-based web application that predicts whether a loan will be approved or rejected based on applicant details.
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---
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## π Features
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* Simple and user-friendly interface using Streamlit
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* Real-time loan approval prediction
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* Machine Learning model (Random Forest)
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* Data preprocessing and feature engineering
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* Displays prediction with confidence score
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---
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## π οΈ Tech Stack
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* Python
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* Streamlit
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* Pandas
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* NumPy
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* Scikit-learn
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---
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## βοΈ How It Works
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1. User enters loan details (income, loan amount, etc.)
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2. Data is processed and transformed
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3. Machine Learning model makes prediction
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4. Result is displayed as Approved or Rejected with confidence
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---
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## πΈ Screenshots
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### π Home Page
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### π Prediction Form
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### β
Result Output
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---
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## π Future Scope
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* Convert into full-stack application (React + Flask)
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* Add database integration
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* Deploy on cloud platform
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* Improve model accuracy
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---
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## π Conclusion
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This project demonstrates how Machine Learning can be used to automate and improve the loan approval process, making it faster and more efficient.
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---
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β If you like this project, feel free to give it a star!
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assets/about.png
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assets/home.png
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assets/predict.png
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