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Use Case

Fashion and style recommendation

Generative AI models like Language Models (LLMs) and image generators can revolutionize the world of fashion and style recommendation. For instance, ChatGPT can be leveraged to generate personalized style recommendations based on customer preferences in plain language. It can parse customer queries and provide fashion advice, outfit suggestions, and style rules.

Image generators are also particularly effective in creating virtual fashion items, generating new fashion designs, predicting fashion trends, and showcasing how clothes will look on different body types. Models like these can be trained on vast datasets encompassing diverse fashion styles, enabling them to generate novel and trendy fashion concepts.

Further, combining both models can assist in creating an interactive tool, where a user's textual description is converted into a visual outfit by the image generator, making personalized styling more engaging and visual.

How to build with Clevis

Text Input

Ask the user for their preferred color palette

Prompt ChatGPT

Prompt ChatGPT to generate outfit suggestions based on the color palette provided in the previous step

HTTP Request

Fetch current weather data based on user's location

Prompt ChatGPT

Ask ChatGPT to suggest appropriate clothing items based on the weather conditions

Display Output

Display the final fashion and style recommendations to the user

This is a description of a typical application that you could build using Clevis, an application development tool. This application, named the 'Fashion and Style Recommendation', aims to provide personalized fashion and style recommendations based on user preferences. The application process involves several pertinent steps.

The first step entails seeking the user's preferred color palette through a text input. Once the user's color preferences are established, the application then prompts the ChatGPT, powered by OpenAI, to generate outfit suggestions based on the user's supplied color palette.

Subsequently, the application initiates an HTTP request to obtain the current weather data, factoring into the decision-making process the user's location. Following this is another interaction with ChatGPT. This time, the AI is tasked to propose suitable clothing items gleaned from the existing weather conditions.

Finally, the application presents the final fashion and style recommendations to the user as a culmination of the processes. Remember, Clevis enables creation of numerous such AI-powered, personalized applications within the same purview.

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