All work

App concept / UX case study

Remembra

Leveraging music and technology to support memory, improve emotional well-being, and enhance quality of life.

Role
UX Lead
Focus
Research, prototype
Tools
Figma, Expo Go
Type
App concept

01 — Overview

Overview

Remembra is a music-based memory support app designed for individuals experiencing Alzheimer’s, dementia, and cognitive decline. The project explored how personalized music therapy, AI-driven recommendations, and wearable biosensor integration could create more emotionally engaging and supportive experiences for both patients and caregivers.

As UX Lead, I focused on shaping the user experience, interface direction, and overall product vision through research, wireframing, prototyping, and collaborative iteration with an interdisciplinary team of public health and informatics students.

02 — The problem

Memory loss is growing faster than care can keep up.

55M+people worldwide living with memory loss today
139Mexpected by 2050
3.2sbetween each new diagnosis

Over 55 million individuals globally experience memory loss from Alzheimer’s, dementia, and related cognitive disorders, a number expected to reach 139 million by 2050. With someone diagnosed every 3.2 seconds, traditional treatments fall short in addressing emotional and cognitive well-being.

Remembra combines the proven therapeutic benefits of music, clinically shown to delay cognitive decline and reduce depression, with AI and wearable biosensor technology. The app learns from your emotional responses and preferences, curating an experience that reconnects you to cherished memories, supports cognitive function, and uplifts your emotional health.

03 — Features

Features

Remembra screens for personalized AI music recommendations

Personalized AI

Music recommendations designed around your personal memories and preferences.

Remembra setup screens with large, simple controls

User friendly

Intuitive and simple, designed to be easily accessible by users of all ages.

Remembra memory game screens

Gamification

Test your memory and turn everyday music therapy into playful memory challenges.

Remembra heart rate alert screens

Biosensors

Real-time heart rate and activity tracking provide live feedback, so each music session is continually refined for comfort and effectiveness.

04 — Research

Research

Clinical research shows that music therapy can meaningfully improve the lives of those experiencing cognitive decline. Studies like Chu et al. (2014) have demonstrated that personalized music programs can reduce anxiety, elevate mood, and even slow short-term memory deterioration.

Remembra builds on this foundation, combining the proven benefits of music therapy with AI and biometric feedback. By tracking heart rate and engagement in real time, Remembra adapts to each user’s unique responses, creating a dynamic, emotionally resonant experience that goes far beyond traditional therapy.

05 — Designing for real users

User friendly, and personal.

Remembra is designed with real-world users in mind, whether that’s a memory-impaired individual or a busy caregiver. The interface is intentionally simple, with large buttons, bold colors, and intuitive navigation tailored to older adults and those unfamiliar with technology. Caregivers can easily create playlists, monitor emotional responses through biosensor data, and tweak settings for optimal comfort. For more independent users, the app offers gamified memory recall challenges and AI-generated playlists fine-tuned to their preferences.

“Therapy shouldn’t feel like work. It should feel like listening to your favorite song.”

No two memories are alike, so why should music therapy be one-size-fits-all? Remembra’s AI learns from every interaction, adjusting recommendations based not just on musical preferences but also on real-time biosensor input like heart rate changes. From “Guess the Song” memory games to a music diary, Remembra engages the brain through play, routine, and nostalgia, and evolves with each user to keep therapy relevant and enjoyable.

06 — Prototype

Our high-fidelity prototype

Building on user feedback and iterative design, we refined Remembra into a fully interactive, visually cohesive high-fidelity model, from AI-powered recommendations to intuitive music controls.

07 — Presentation

Project presentation

08 — Team

Team

Bryan Cardona
Team Lead · Public Health Policy, School of Public Health
Julia Chan
Product Lead · Public Health Sciences, School of Population & Public Health
Ethan Mandel
UX Lead · Informatics, School of Information and Computer Sciences
Diego Guzman
CTO · Informatics, School of Information and Computer Sciences

09 — App development

App development

TypeScript + JavaScript
Type-checked foundation for smoother collaboration across the codebase
Expo Go
Cross-platform frontend development
Firebase
Real-time data storage, authentication, and serverless functions
Python
Data processing, AI music recommendations, and biosensor data pipelines

Together, these give Remembra a responsive, secure, and highly extensible foundation for a music therapy experience.

10 — Takeaways

What I took away

Remembra was one of the first projects where our team worked with a level of independence that felt much closer to a real-world collaboration environment than a traditional classroom assignment. Instead of following strict deliverables or heavily guided instruction, we were responsible for shaping the direction of the project ourselves, communicating across disciplines, and managing how the product evolved over time.

Working alongside students from both public health and informatics gave the project a wider range of perspectives, which pushed the experience beyond a technical exercise. As UX Lead, I took ownership of the product vision, interface direction, and overall user experience while learning how to collaborate around the strengths and expertise of other team members. The project reinforced how important communication, adaptability, and interdisciplinary teamwork are when building products intended for real people.