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Use Case

Virtual psychological counseling and therapy

Generative AI models can be a transformative tool in the realm of virtual psychological counseling and therapy. Chatbots like OpenAI's GPT-3 can be trained to provide instant responses to user's queries, thereby offering immediate mental health support. For instance, a user feeling anxious late at night can communicate with the AI bot to receive a therapeutic conversation that can help manage anxiety.

Moreover, generative models can be used to create an immersive therapy experience. By integrating AI with virtual reality, a therapeutic environment can be visualized, like picturesque landscapes or serene waters, tailored to each person's liking. This can aid in various exposure therapies, meditative exercises, or relaxation techniques.

AI can also facilitate in tracking users' emotional well-being through sentiment analysis using LLMs such as GPT-3. This can help therapists monitor their patients' mood fluctuations, enabling comprehensive care.

How to build with Clevis

Text Input

Ask the user to enter their name

Prompt ChatGPT

Prompt ChatGPT to welcome the user and ask about their main concern

HTTP Request

Fetch a list of available therapists from a database

Display Output

Display the list of therapists with their details like name, specialization, and availability

Prompt ChatGPT

Prompt ChatGPT to guide the user in selecting a therapist and booking an appointment

The example application outlined here, 'Virtual Psychological Counseling and Therapy,' is a tool that you can easily create using Clevis. This application starts with a Text Input step where a user enters their name. Providing a user-friendly and engaging entrance into the interaction.

Following the initial user input, the application prompts ChatGPT to welcome the user and inquire about their main concern. We see the use of AI here with the integration of OpenAI's ChatGPT, offering a conversational interface to interact with the user effectively.

The third step initiates an Http Request to fetch a list of available therapists from a database. This process leverages Clevis's capacity to handle HTTP requests, making real-time data accessible within the application.

Next, the application will Display Output, showing the user a list of therapists with details such as their name, specialization, and availability. With this step, the user gains a clear overview of therapy options tailored to their needs.

In the final step, ChatGPT is again prompted. This time, it guides the user in selecting a therapist and booking an appointment, thereby ensuring a seamless end-to-end user experience. This structured workflow demonstrates how you can use Clevis to build intuitive and engaging AI-powered apps.

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