This project is a real-time fraud detection system built using Streamlit and the Anthropic Claude model. The application allows users to upload transaction data in CSV format and analyze it for potential fraudulent activities.
A real-time fraud detection web app developed with Streamlit, utilizing the Claude API for analyzing transaction data. The app features an intuitive and interactive interface that allows users to input and review transaction details, providing immediate insights on potential fraudulent activity. This solution enhances security by offering dynamic detection capabilities and helping users make informed decisions to prevent fraud. Built to be user-friendly and efficient, it integrates seamlessly into existing workflows and ensures that critical transactions are monitored effectively, offering a robust tool for businesses and individuals to safeguard their financial operations.
To get started, clone the repository to your local machine:
git clone https://github.com/yourusername/your-repository-name.git
cd your-repository-name