An AI-powered mental health assistant for anxiety and panic management

View Prototype

Project Overview

AIME (AI Mental Health Assistant) is a concept app designed to help users manage anxiety and panic attacks through a blend of AI-driven conversation and biometric awareness. It explores how emerging technologies can provide fast, personalized, and stigma-free mental health support—right from your phone.

The project goal is to develop a near-development-ready app prototype using Figma, supported by motion design and a process website. The app’s features include an AI chatbot to guide users through calming exercises, a free chat experience, wearable integration, and custom treatment path suggestions.

AIME is born out of both personal experience and curiosity: I’ve seen firsthand how anxiety can spiral when left unchecked—and how powerful it is to have tools that respond in the moment. I also regularly use AI in my daily life and believe it has massive potential for meaningful impact beyond convenience. This project asks the question: What if the tech that helps you pick a stock or write an email could also help save someone’s day—or life?

The 10-week build focuses on UX design, prototyping, branding, motion graphics, and storytelling. Tools include Figma, Adobe Creative Suite, Visual Studio Code, and good old pen & paper. I’m using this opportunity to sharpen my existing skills and develop new ones, all while pushing toward a portfolio piece I’m genuinely proud of.

Research

Research included analysis of mental health apps like Calm, ADA, Wysa[1], and Youper. Interviews and feedback are planned with users and professionals to refine the app experience.

Research Summary

According to the World Health Organization, anxiety affects more than 300 million people worldwide[2], yet access to effective treatment remains limited. Whether based on income or social stigma, many do not get the help they need to deal with this issue properly. Cognitive Behavioral Therapy (CBT) has been widely recognized by organizations like the ADAA[3] for helping individuals manage symptoms through practical exercises like breathing, journaling, and thought restructuring. However, the issue persists, and without help many will continue to suffer. Anxiety most often affects young adults, particularly women, and is most prevalent in high-income countries—but those in low-income regions are least likely to receive help[4]. AIME aims to close this accessibility gap with guided, evidence-based tools at no cost to users.

New technologies have begun to fill that gap. Apps like MindShift[5] and Wysa[1] use CBT frameworks and AI chatbots to guide users through mental health exercises. Others, like Breathhh[6], integrate smart device sensors to tailor breathing interventions based on biofeedback. These tools align with the vision of AIME: a process platform that offers structured, self-guided treatments while respecting the user’s autonomy and privacy. AIME aims to blend the strengths of digital mental health with human connection, avoiding pitfalls like AI over-dependence or emotional isolation.

Design Process

The design of AIME started with low-fidelity wireframes and sketches to explore flow and function in Design Studio last summer. These early concepts were done with pen and paper, helping to clarify the user journey before moving to digital tools.

From there, designs were brought into Figma, where I developed color palettes, typography, and a layout system focused on calm, clarity, and accessibility. The aesthetic choices aim to support a soothing, low-friction experience for users dealing with anxiety and panic.

Below are selected screenshots from different phases of the UI design process in Figma, showing progression from early mockups to more polished screens in the prototype.

Features

Final Screens & Prototype

Below is the interactive prototype created in Figma. Click through to explore AIME’s user flow and interface.

Marketing Video

This promotional motion graphic explains the app’s mission and features.

Reflection

This project helped deepen my skills in UX design and allowed me to explore how AI can positively impact mental health. I learned to balance user needs, aesthetics, and feasibility in a complex space. This project was condensed into a 10 week summer class. This is a culmination of all of my classes during this program at MCAD.

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