Bank Note Authentication API

A RESTful API built with FastAPI that predicts whether a bank note is authentic or counterfeit using a machine learning classification model. The API provides fast and reliable predictions based on note characteristics.

🚀 Features

• Predicts bank note authenticity
• REST API built with FastAPI
• Machine learning classification model
• Interactive API documentation with Swagger UI
• Lightweight and easy to deploy

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🛠️ Tech Stack

• Language: Python
• Framework: FastAPI
• Machine Learning: Scikit-learn
• Data Processing: Pandas, NumPy
• Model Persistence: Pickle
• Server: Uvicorn
• Tools: Git, GitHub

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📂 Project Structure

Bank_note-fastApi/
├── model/
├── app.py
├── model.pkl
├── requirements.txt
└── README.md

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⚙️ Installation

git clone https://github.com/ShivamSatpute203/Bank_note-fastApi.git
cd Bank_note-fastApi
pip install -r requirements.txt

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▶️ Usage

Start the FastAPI server:

uvicorn app:app --reload

Open your browser and access:

• API: http://127.0.0.1:8000
• Swagger UI: http://127.0.0.1:8000/docs

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📚 What I Learned

• Building REST APIs with FastAPI
• Deploying machine learning models
• API testing using Swagger UI
• Model serialization with Pickle
• Backend development for AI applications

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🔮 Future Improvements

• Dockerize the application
• Add authentication and authorization
• Deploy to a cloud platform
• Support batch predictions
• Add model monitoring and logging

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👨‍💻 Author

Shivam Satpute

• GitHub: https://github.com/ShivamSatpute203