Case Study
Real-Time speech-to-text and summarization
Problem statement
Manual note-taking during meetings and lectures can be inefficient and distracting. This project addresses this challenge by providing automated, real-time transcription and summarization services.
PROJECT DESCRIPTION
The project leverages advanced LLM (Large Language Models) technology to transcribe and summarize audio and video content. The core of the solution involves deploying the LLM speech-to-text model on a Google Kubernetes Engine (GKE) cluster, utilizing spot instances and Nvidia T4 GPUs. The application is containerized with CUDA image layers to enhance performance and manageability, ensuring fast and accurate transcription and summarization.
OBJECTIVES
Real-Time Transcription
Provide instantaneous text conversion of spoken content and convert it to text-on-the-fly ensuring that users receive the transcriptions with minimal delay.
Scalability
Summarization
Generate concise, readable summaries of the transcribed content, making it easier for users to review and understand the main ideas quickly.
Accessibility
Improve access to information for all users, ensuring that the service is accessible to users with different needs.
Efficiently manage large volumes of data and users.
CHALLENGES
Latency
Ensuring near-instantaneous processing to meet real-time requirements.
Accuracy
Achieving high accuracy in transcription and summarization across various accents and languages.
Resource Management
Balancing computational resource use with cost efficiency.
Scalability
Scaling infrastructure to support growing user demands
Processing Power
The LLM’s demand for processing power and time necessitates robust infrastructure.
SOLUTION
CLOUD-BASED INFRASTRUCTURE:Leveraging Google Cloud’s scalable and secure infrastructure ensures high availability, security, and scalability. Auto-scaling with Kubernetes on GCP scales the deployment based on load, while load balancing distributes traffic across multiple instances for smooth service. Managed services reduce manual maintenance, and robust security features protect data and ensure compliance. Global reach enables deployment in multiple regions, reducing latency and providing a consistent user experience.
