Fraud Detection Dashboard for Banking πŸš€

:man_technologist:t4: 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.

:mag: The Challenge: Develop an effective system for detecting fraud in credit card applications using deep learning models.

:wrench: 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.

:sparkles: Key Features:
:one: SOM mapping to identify anomalies.
:two: ANN models to assess the fraud probability of identified anomalies.

:link: Check out the dashboard in action: DeepLearning DashBoard

If you want to spread the word, please interact this LinkedIn post :+1:t5:.

Please feel free to contact me if you have any questions or comments. :blush:


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