Overview
RoRy is a GenAI-powered web application designed to streamline the extraction of value from meeting recordings. The solution provides a secure frontend where users can authenticate and monitor both service activity and transcription results. It can also be integrated into customer workflows as part of a professional services engagement. The system leverages Intel® Xeon® 6 processors with P-cores to record, retrieve and process files through offline inference supported by Intel® Advanced Matrix Extensions (Intel® AMX). All audio is transcribed using the Whisper v3 Large model. Immediately after transcription, a local LLM analyzes the text to generate a concise, structured summary. This architecture efficiently transforms raw meeting recordings into organized, actionable insights, while keeping all data within a private environment, without the need to send information to external AI providers.
Highlights
- Intel-Optimized Performance: Utilizes the openvino_genai library to run complex models efficiently on standard Intel hardware
- Highly Scalable: Built on a fully managed, event-driven AWS architecture, allowing the system to scale horizontally to handle fluctuating processing loads effortlessly
- Data Sovereignty: Operates securely within a private environment using offline inference
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