KS-Vijay/fraud-model-aura

🕵️‍♂️ Fraud Model Aura (KS-Vijay)

This model uses DistilBERT to classify whether a given grievance or complaint text contains fraudulent intent or behavior. It is trained as part of an intelligent Grievance Redressal Platform to auto-detect fraud-related issues in startup complaints.

🧠 Use Case

Detects if the complaint relates to fraud:

• —Fraud
• —Legitimate

This helps startups or service providers to flag, escalate, or triage suspicious reports quickly.

🔍 Model Summary

• —Model Type: Text Classification
• —Architecture: DistilBERT (uncased)
• —Output Labels: Fraud, Legitimate
• —Weights Format: safetensors
• —Dataset: Custom (based on complaints.csv)
• —Training Framework: PyTorch using 🤗 transformers

📥 Example Input

"I think someone is misusing our company’s KYC information to open fake accounts."