3k - AI - Intel

Girish Suryajoies

Principal UX Designer

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AI Chatbot

role: Senior Design Consultant

team: 2 + 1 Vendor

responsibility: Leading / Strategy / Vendor management

duration: 3+ Months

Introduction

Intel’s AI chatbot technology refers to a combination of software and hardware solutions that allow developers, OEMs (original equipment manufacturers), and end-users to build, deploy, and use generative AI chatbots powered by large language models (LLMs), optimized specifically for Intel’s CPUs, GPUs, and neural processing units (NPU)

Requirement

AI chatbot must support multiple languages tailored for users in different regions.
3D Human Models: The chatbot interacts via realistic 3D human avatars, displaying lifelike facial expressions and gestures in response to user inputs.
Hardware Optimization: Platform built for Intel’s CPUs, GPUs, and NPUs, ensuring smooth real-time experience and efficient model inference

Screenshot 2025-09-04 at 11.03.27 AM.jpeg

Goal

Provide human-like digital assistants for diverse global audiences, breaking language barriers and making interactions feel natural and engaging.
Enable developers and OEMs to rapidly build, customize, and deploy advanced chatbots locally on Intel-powered devices, leveraging hardware acceleration for 3D rendering and AI model processing.
Empower end-users with chatbots that offer both high-quality conversational AI and highly expressive visual avatars, improving accessibility and emotional connection.

Design Decision

Localized Language Support: Integrate smaller, modular LLMs for efficient inference, with user-selectable or auto-detected languages. Provide region-specific personality traits and cultural behaviors for avatars to ensure authenticity in each market.
3D Avatars with Realistic Expressions: Use Intel-optimized GPU pipelines and neural network-based facial animation to translate AI-generated chatbot intent and emotion to avatar expressions and gestures, supporting real-time performance on consumer devices

Input-to-Expression Mapping: Implement multimodal AI models that link natural language inputs (text, speech, even sentiment) to expression templates, adjusting avatar visuals for empathy, surprise, confidence, etc.
Interactivity and Accessibility: Ensure the chatbot can understand and communicate using voice and text; support accessibility features like subtitles, voice modulation, and UI scaling.
Privacy and On-Device Inference: Deploy chatbots locally to maximize data privacy and minimize latency, making use of Intel NPU for faster, more energy-efficient operations.
Developer Platform: Offer easy-to-use APIs, SDKs, and drag-and-drop workflow tools so developers can build chatbots with custom 3D skins, personalities, and knowledge bases, potentially using Intel’s AI Assistant Builder platform.

Value additions

The AI avatar acts as a dedicated personal assistant, helping organize daily activities, prepare proposals and pitch decks, manage all project-related documents, schedule meetings, and maintain the user’s calendar efficiently
The avatar communicates seamlessly with Human Resources, handling requests such as leave applications, salary inquiries, and other HR-related questions to ensure smooth employee support.
It also interacts with the Systems/IT team, efficiently raising and tracking tickets for OS, hardware, and software concerns, and provides timely updates and resolutions for all system-related queries.

Girish Suryajoies

Principal UX Designer

AI Chatbot

Introduction

Requirement

AI chatbot must support multiple languages tailored for users in different regions.

3D Human Models: The chatbot interacts via realistic 3D human avatars, displaying lifelike facial expressions and gestures in response to user inputs.

Hardware Optimization: Platform built for Intel’s CPUs, GPUs, and NPUs, ensuring smooth real-time experience and efficient model inference

Goal

Provide human-like digital assistants for diverse global audiences, breaking language barriers and making interactions feel natural and engaging.

Enable developers and OEMs to rapidly build, customize, and deploy advanced chatbots locally on Intel-powered devices, leveraging hardware acceleration for 3D rendering and AI model processing.

Empower end-users with chatbots that offer both high-quality conversational AI and highly expressive visual avatars, improving accessibility and emotional connection.

Design Decision

Localized Language Support: Integrate smaller, modular LLMs for efficient inference, with user-selectable or auto-detected languages. Provide region-specific personality traits and cultural behaviors for avatars to ensure authenticity in each market.

3D Avatars with Realistic Expressions: Use Intel-optimized GPU pipelines and neural network-based facial animation to translate AI-generated chatbot intent and emotion to avatar expressions and gestures, supporting real-time performance on consumer devices

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Input-to-Expression Mapping: Implement multimodal AI models that link natural language inputs (text, speech, even sentiment) to expression templates, adjusting avatar visuals for empathy, surprise, confidence, etc.

Interactivity and Accessibility: Ensure the chatbot can understand and communicate using voice and text; support accessibility features like subtitles, voice modulation, and UI scaling.

Privacy and On-Device Inference: Deploy chatbots locally to maximize data privacy and minimize latency, making use of Intel NPU for faster, more energy-efficient operations.

Developer Platform: Offer easy-to-use APIs, SDKs, and drag-and-drop workflow tools so developers can build chatbots with custom 3D skins, personalities, and knowledge bases, potentially using Intel’s AI Assistant Builder platform.

Value additions

The AI avatar acts as a dedicated personal assistant, helping organize daily activities, prepare proposals and pitch decks, manage all project-related documents, schedule meetings, and maintain the user’s calendar efficiently

The avatar communicates seamlessly with Human Resources, handling requests such as leave applications, salary inquiries, and other HR-related questions to ensure smooth employee support.

It also interacts with the Systems/IT team, efficiently raising and tracking tickets for OS, hardware, and software concerns, and provides timely updates and resolutions for all system-related queries.