Near Real-time Call Analysis and AI Integrated Recommendation Engine for Business Growth on E-Learning Platform

Solutions

• Create a systematic audio transcription solution with adaptive capabilities for evolving requirements and new content. 
• Develop a robust audio file processing pipeline integrating the Whisper model for accurate transcription and multilingual support. 
• Leverage Amazon SageMaker to deploy a sophisticated Large Language Model (LLM) for natural language processing. Integrate the AI21 Q&A 10k model for contextual question answering, enhancing system intelligence. 
• Utilize Amazon SageMaker for custom NER model training and deployment, including auto-scaling and endpoint monitoring. Extract valuable NER entities such as Company Names, Universities, and Skills. 
• Establish an Amazon DynamoDB database for reliable and scalable storage of metadata associated with implemented solutions. Efficiently configure the database schema for enhanced manageability and accessibility. 
• Configure AWS EventBridge to schedule and orchestrate workflow processes seamlessly. Automate the start and release of various endpoints using Lambda functions for optimal resource utilization. 
• Implement an AWS CloudFormation template for automated deployment and configuration, ensuring consistent and repeatable infrastructure deployment across diverse environments.