> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/5.0-influx-ai-use-cases-and-applications/5.2-multimodal-technology-framework.md).

# 5.2 Multimodal technology framework

We have developed a multimodal AI model that is world-leading and commercially viable, giving us a first-mover advantage in technology. Our model can be said to be the most versatile AI agent and the most commercially viable multimodal model.

We have integrated a variety of recognition and analysis technologies, including multimodal interactions such as vision, which can collect and evaluate data on users' physical characteristics, aesthetics, hairstyle, skin, consumption habits, etc., providing users with a full range of life assistants and matching and demonstrating commercial products with user needs.

In the AI ​​assistant technology stack, we will use the human voice model, mouth shape and facial model to enable AI assistants and celebrity AI assistants to provide users with real-time assistance like real people;

In the clothing and dressing technology stack, the multimodal model will accurately evaluate the user's body shape, appearance and aesthetics, provide users with personalized fashion suggestions and improvement plans, and create an intelligent fashion assistant;

In the skin care and health technology stack, we will provide real-time guidance and suggestions on users’ skin and health conditions;

In the food assistant technology stack, we will continuously learn about users’ eating habits and recommend the most suitable food for them.

In the travel assistant technology stack, we will continue to learn about users' living habits, conditions, and prices, and help users recommend the most suitable hotels.


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