Project overview
Gemma Sentinel: Privacy-First Fraud Analysis Tool
Gemma Sentinel is an offline-first security tool that identifies fraudulent patterns in text, images, and audio using a hybrid architecture of local Llama.cpp inference and cloud-based Google Gemma models. It ensures user privacy by utilizing a stateless design that performs real-time threat detection without persistent data storage.
Gemma Sentinel is an offline-first security tool that identifies fraudulent patterns in text, images, and audio using a hybrid architecture of local Llama.cpp inference and cloud-based Google Gemma models. It ensures user privacy by utilizing a stateless design that performs real-time threat detection without persistent data storage.
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