This project is an AI-powered fraud analysis solution developed for the SEBI Hackathon – GFF, conducted in Mumbai. It detects, prevents, and analyzes various types of financial fraud using advanced data processing, machine learning, and an AI chatbot interface. The chatbot allows users to interact with the system, query fraud data, and get real-time explanations and guidance on preventive measures.
- Detects fraudulent transactions and Ponzi schemes using AI models.
- Provides real-time fraud alerts and analysis.
- Interactive AI chatbot for querying fraud data and explanations.
- User-friendly interface for both technical and non-technical users.
- Financial institutions
- Compliance teams
- Fraud analysts
- Individuals looking for fraud detection and prevention tools
- Java / Python (depending on modules)
- AI / ML models for fraud detection
- SQL / MySQL for data storage
- AI Chatbot for user interaction
Integrating an AI chatbot with fraud analysis makes complex fraud patterns accessible to users, allowing them to ask questions and take preventive actions quickly. This combination of analytics and interactivity is unique in the fraud detection space.
The solution can reduce financial losses due to fraud, improve compliance efficiency, and make fraud detection accessible to a broader audience, including non-technical users.