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Use Case

Virtual mindfulness and stress relief coaches

Generative AI models like Language Language Models (LLMs) and image generators can offer novel strategies for virtual mindfulness coaching and online stress relief. For example, an LLM can be trained to perform as a virtual coach, communicating personalized advice, guided meditations, and relaxation exercises using natural language. Beyond text-based interactions, an image generator could enhance user experience by creating serene, customized sceneries for visual meditation in real-time, aligning with user's preferences or current mood. Adding an extra layer to these services, AI models can interpret user feedback to custom-fit future sessions, offering a tailored, dynamic approach to stress relief and mindfulness practices. The integration of such systems could result in advanced Virtual Reality (VR) experiences, harnessing the power of AI to produce immersive, relaxing environments that engage all senses for an optimal mindfulness routine.

How to build with Clevis

Text Input

Ask the user for their name to personalize the experience

Prompt ChatGPT

Prompt ChatGPT with a message introducing the virtual coach and asking the user how they are feeling today

Prompt ChatGPT

Prompt ChatGPT with a message to ask the user about their stress triggers and coping mechanisms

HTTP Request

Fetch a list of mindfulness techniques and exercises from an external API

Display Output

Display the fetched mindfulness techniques and exercises to the user

This is an example of an AI application you can build using Clevis. The application is called 'Virtual Mindfulness and Stress Relief Coaches'. It helps users manage their stress levels by providing them with virtual mindfulness and stress relief coaches.

The user interaction starts with a text input, where the user is asked for their name to provide a tailored experience. Then, the application prompts ChatGPT, a model developed by OpenAI, to interact with the user. The first prompt introduces the virtual coach and asks about the user's feelings. The second prompt invites the user to share their stress triggers and usual coping mechanisms.

The app then proceeds to make an HTTP request to fetch a list of mindfulness techniques and exercises from an external API. The details of the request, like the URL and HTTP method, are specified in the parameters. After fetching the list from the mentioned URL, the final step is to display the fetched techniques and exercises to the user.

With Clevis, you can build similar apps in the field of mental health and mindfulness, shaping your application's flow by defining a series of steps and descriptions to match your app's needs.

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