Context: I had the pleasure of developing a personal project that combines deep learning and data analysis to detect banking fraud, a major challenge in the financial sector.
The Challenge: Develop an effective system for detecting fraud in credit card applications using deep learning models.
Technologies Used:
- Streamlit & CSS for an interactive and intuitive user interface.
- Pandas and NumPy for data processing and analysis.
- Plotly for dynamic and attractive visualizations.
- TensorFlow and ScikitLearn for modeling and data preprocessing.
Key Features:
SOM mapping to identify anomalies.
ANN models to assess the fraud probability of identified anomalies.
Check out the dashboard in action: DeepLearning DashBoard
If you want to spread the word, please interact this LinkedIn post 
.
Please feel free to contact me if you have any questions or comments. 
