Fraud Detection App
Description
The Fraud Detection App is a web-based RAG (Retrieval-augmented generation) application designed to identify and classify fraudulent messages. The application uses a combination of machine learning models and keyword-based analysis to detect and flag messages related to phishing and financial fraud.
Features
- Fraudulent Message Detection: Classify messages as 'fraudulent' or 'legitimate'.
- Phishing and Financial Fraud Identification: The app identifies fraud through keyword matching and uses Gemini API for more advanced analysis.
- User-friendly Interface: Provides an easy-to-navigate web interface for users to report and check fraud.
Tech Stack
- Frontend: React, Material UI
- Backend: FastAPI
- Machine Learning: Gemini API, Cosine Similarity and Vector Search
- Database: MongoDB Atlas (for storing messages and related data)
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