CNN-based South Sudan 1,000 SSP banknote authenticity detection system.
\# South Sudan 1,000 SSP Banknote Authenticity Detection
A Convolutional Neural Network (CNN) project for classifying images of South Sudan 1,000 SSP banknotes as \*\*Genuine\*\* or \*\*Fake\*\*.
\## Project Overview
This project explores computer vision and deep learning techniques for automated banknote authenticity classification.
The system follows a complete machine-learning workflow:
1\. Data collection
2\. Dataset inventory
3\. Image inspection
4\. Image preprocessing
5\. Dataset verification
6\. CNN model development
7\. Model training
8\. Model evaluation
9\. Application development
10\. Deployment
\## Classes
Class | Description
`1000\_Genuine` | Genuine South Sudan 1,000 SSP banknote
`1000\_Fake` | Fake/suspected counterfeit South Sudan 1,000 SSP banknote
\## Technology Stack
\- Python
\- TensorFlow
\- Keras
\- OpenCV
\- Pillow
\- NumPy
\- Pandas
\- Streamlit
\- Git/GitHub
\## Project Structure
```text
SSP\_1000\_CNN/
├── app/# South Sudan 1,000 SSP Banknote Authenticity Detection
A Convolutional Neural Network (CNN) project for classifying images of South Sudan 1,000 SSP banknotes as \*\*Genuine\*\* or \*\*Fake\*\*.
\## Project Overview
This project explores computer vision and deep learning techniques for automated banknote authenticity classification.
The system follows a complete machine-learning workflow:
1\. Data collection
2\. Dataset inventory
3\. Image inspection
4\. Image preprocessing
5\. Dataset verification
6\. CNN model development
7\. Model training
8\. Model evaluation
9\. Application development
10\. Deployment
\## Classes
Class | Description
`1000\_Genuine` | Genuine South Sudan 1,000 SSP banknote
`1000\_Fake` | Fake/suspected counterfeit South Sudan 1,000 SSP banknote
\## Technology Stack
\- Python
\- TensorFlow
\- Keras
\- OpenCV
\- Pillow
\- NumPy
\- Pandas
\- Streamlit
\- Git/GitHub
\## Project Structure
```text
SSP\_1000\_CNN/ …