💳 AI-Powered Credit Scoring Prediction System

🚀 Real-World AI Banking Risk Analysis System

🔗 Live Demo:
👉 https://codealphacreditscoringmodel-fwkfl7jm9baogxefggksw2.streamlit.app/

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📌 Project Overview

This project is an AI-powered Credit Scoring Prediction System developed as part of the CodeAlpha Artificial Intelligence Internship.

The application predicts whether a customer is:

✅ Creditworthy
❌ High Risk

using Machine Learning algorithms trained on financial history data.

The system includes:

• Data preprocessing
• Feature engineering
• Model training
• Model evaluation
• Real-world Streamlit web application
• Interactive prediction dashboard

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🎯 CodeAlpha Internship Task

✅ TASK 1 — Credit Scoring Model

Objective:

Predict an individual's creditworthiness using past financial and behavioral data.

Implemented Features:

✔ Feature Engineering
✔ Data Preprocessing
✔ Machine Learning Classification
✔ Streamlit Web Application
✔ Model Evaluation Metrics
✔ Real-Time Prediction System

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🧠 Machine Learning Algorithms Used

Algorithm	Purpose
Logistic Regression	Baseline Classification
Decision Tree	Rule-Based Prediction
Random Forest	Final High Accuracy Model

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📊 Model Evaluation Metrics

✅ Accuracy
✅ Precision
✅ Recall
✅ F1-Score
✅ ROC-AUC Score
✅ Confusion Matrix

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⚡ Features of the Web App

✨ Modern Banking UI
✨ Real-Time Credit Prediction
✨ Risk Analysis Dashboard
✨ Interactive User Inputs
✨ Financial Recommendation System
✨ Responsive Design
✨ Professional Streamlit Interface

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🖼️ Application Screenshots

🔹 Input Prediction Page

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🔹 Prediction Output Page

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🛠️ Technologies & Libraries Used

👨‍💻 Programming Language

• Python

📚 Libraries

streamlit
pandas
numpy
scikit-learn
matplotlib
seaborn
joblib

CodeAlpha_Credit_Scoring_Model/
│
├── artifacts/
│   └── model.pkl
│
├── images/
│   ├── input_page.png
│   └── output_page.png
│
├── Credit_Scoring_Prediction_System.ipynb
├── app.py
├── train_and_save.py
├── requirements.txt
├── README.md
└── .gitignore
🚀 Installation & Setup
1️⃣ Clone Repository
git clone https://github.com/YOUR_GITHUB_USERNAME/CodeAlpha_Credit_Scoring_Model.git
2️⃣ Install Dependencies
pip install -r requirements.txt
3️⃣ Run Streamlit Application
streamlit run app.py
🌐 Live Application
🔗 Public Deployment Link

👉 https://codealphacreditscoringmodel-fwkfl7jm9baogxefggksw2.streamlit.app/

📈 Future Improvements

🚀 SHAP Explainable AI
🚀 Deep Learning Integration
🚀 Cloud Database Support
🚀 Loan Recommendation System
🚀 User Authentication System

🙌 Acknowledgement

Special thanks to:

💙 CodeAlpha
💙 Streamlit
💙 Open Source Community

for providing learning opportunities and resources.

👨‍💻 Developed By
✨ Kavin
Machine Learning Intern @ CodeAlpha
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⭐ If you like this project, give it a star on GitHub ⭐