AI & Advanced Analytics Solutions

AI-powered analytical platform with advanced visualization and collaborative investigation tools

The application should allow users to create, schedule, and manage tasks using AI-driven automation. Core functionalities include task input, automated scheduling, reminders, and potentially intelligent task prioritization.

The system must provide comprehensive video recording, intelligent analysis, and proactive alerting capabilities. It needs to seamlessly integrate with existing and future IoT devices and offer robust reporting features.

The project requires the development of a functional LLM deployment system capable of running Llama models on Intel Gaudi hardware, supporting inference and potentially training.

The platform should offer APIs for various NLP tasks (summarization, sentence similarity, NER, grammar correction, comment classification) and a user-friendly interface for demo and basic usage. It should also allow for model customization and fine-tuning.

The system should be an AI-powered chatbot capable of understanding and responding to customer inquiries via text and potentially voice. It needs to integrate with existing CRM and knowledge base systems to provide accurate and relevant information.

The project involves enhancing the MLOps SDK with new features for model management, deployment, monitoring, and security. Key functionalities include automated model optimization, enhanced security protocols, improved data transformation capabilities, and streamlined deployment workflows.

The platform must provide a unified interface for managing and integrating diverse systems, with AI-powered automation for coding, integration logic, and maintenance. It should support a wide range of system types and facilitate rapid deployment of new integrations.