Spatial design • concept 2025

Smart Mirror

A new way to scan your health

Role

Product Designer & Solution Architect

Timeline

6 Months

Team

2 Product Designers & 2 Product Mangers

overview

Before you read further, it’s important to note:

This is a 0→1 product a completely novel solution with no direct precedent in India or globally. It reimagines how users interact with personal health data in physical spaces, bridging AI, design, and healthcare in a way that hasn’t been done before.

This is a 0→1 product a completely novel solution with no direct precedent in India or globally. It reimagines how users interact with personal health data in physical spaces, bridging AI, design, and healthcare in a way that hasn’t been done before.

Why a Smart Health Mirror

The smart health mirror is a digitally integrated device designed for passive, real-time tracking of critical health parameters. It captures a wide array of vitals including body weight, body composition (up to 12 metrics such as BMI, body fat %, muscle mass, and visceral fat), temperature, SpO₂, blood pressure, heart rate, and respiratory rate.

The smart health mirror is a digitally integrated device designed for passive, real-time tracking of critical health parameters. It captures a wide array of vitals including body weight, body composition (up to 12 metrics such as BMI, body fat %, muscle mass, and visceral fat), temperature, SpO₂, blood pressure, heart rate, and respiratory rate.

From a design perspective, the mirror integrates seamlessly into everyday environments, combining functionality with minimal visual intrusion. The interface is optimized for intuitive interaction, offering visual feedback, historical trends, and health alerts—all without requiring active input from the user. This passive yet comprehensive system enhances both preventive care and daily health awareness.

From a design perspective, the mirror integrates seamlessly into everyday environments, combining functionality with minimal visual intrusion. The interface is optimized for intuitive interaction, offering visual feedback, historical trends, and health alerts—all without requiring active input from the user. This passive yet comprehensive system enhances both preventive care and daily health awareness.

Problem

Traditional Health Screening Today

Health screening commonly requires scheduled appointments, personal effort to record vitals, and delayed access to results often leading to lower engagement, visibility, and sustained participation. Routine vitals such as blood pressure, body composition, and oxygen saturation remain hidden until formal health assessments are conducted.

Health screening commonly requires scheduled appointments, personal effort to record vitals, and delayed access to results often leading to lower engagement, visibility, and sustained participation. Routine vitals such as blood pressure, body composition, and oxygen saturation remain hidden until formal health assessments are conducted.

  1. Low engagement with preventive health tools: People rarely self-monitor vitals without compelling, accessible touchpoints.

  1. Low engagement with preventive health tools: People rarely self-monitor vitals without compelling, accessible touchpoints.

  1. Fragmented experiences at health camps or workplaces: Multiple devices and manual entry reduce participation.

  1. Fragmented experiences at health camps or workplaces: Multiple devices and manual entry reduce participation.

  1. Lack of real-time feedback: Users do not see trends or immediate context for their health data.

  1. Lack of real-time feedback: Users do not see trends or immediate context for their health data.

Objective

What we aim to achieve

This project aims to use strategically placed smart health mirrors as interactive kiosks to boost health engagement among Group Medical Cover (GMC) users and drive greater utilization of underused Bajaj Finserv Health services.

This project aims to use strategically placed smart health mirrors as interactive kiosks to boost health engagement among Group Medical Cover (GMC) users and drive greater utilization of underused Bajaj Finserv Health services.

+15% to +30%

Increase in Activation Rate for Targeted Underutilized Wellness Programs

Increase in Activation Rate for Targeted Underutilized Wellness Programs

0 to 1,50,000+

Quarterly Active Smart Mirror Users

Quarterly Active Smart Mirror Users

0 to 75,000+

Digital Health Profiles Enriched Annually (with new mirror data)

Digital Health Profiles Enriched Annually (with new mirror data)

Project timeline

key challenges

The goal was to create a platform that brings back users

Designing enhancements for an existing EMR required navigating technical, behavioral, and philosophical constraints simultaneously

Designing enhancements for an existing EMR required navigating technical, behavioral, and philosophical constraints simultaneously

  1. Designing Trust in a Non-Clinical Environment

  1. Designing Trust in a Non-Clinical Environment

The mirror was placed in semi-public spaces such as offices and health camps, not hospitals. A key challenge was ensuring users trusted the accuracy and legitimacy of the readings despite the informal setting.
The interface had to visually communicate reliability without overwhelming users with medical jargon or disclaimers.

The mirror was placed in semi-public spaces such as offices and health camps, not hospitals. A key challenge was ensuring users trusted the accuracy and legitimacy of the readings despite the informal setting.
The interface had to visually communicate reliability without overwhelming users with medical jargon or disclaimers.

2. Making Health Data Instantly Understandable

2. Making Health Data Instantly Understandable

Users were exposed to multiple vitals at once — body composition, cardiovascular metrics, and oxygen levels. Presenting this information without causing confusion or anxiety was critical.
The challenge was to prioritize clarity over completeness, showing only what mattered most while still offering meaningful context through ranges and trends.

Users were exposed to multiple vitals at once — body composition, cardiovascular metrics, and oxygen levels. Presenting this information without causing confusion or anxiety was critical.
The challenge was to prioritize clarity over completeness, showing only what mattered most while still offering meaningful context through ranges and trends.

  1. Designing for Repeated, Habitual Use

  1. Designing for Repeated, Habitual Use

A single health snapshot has limited long-term value. The experience needed to encourage users to return without feeling repetitive or intrusive.
This required subtle design cues trends, comparisons, and progress indicators that reward repeat interactions without gamifying health irresponsibly.

A single health snapshot has limited long-term value. The experience needed to encourage users to return without feeling repetitive or intrusive.
This required subtle design cues trends, comparisons, and progress indicators that reward repeat interactions without gamifying health irresponsibly.

  1. Integrating Hardware Constraints Into UX

  1. Integrating Hardware Constraints Into UX

Sensor placement, lighting conditions, and physical posture directly affected readings. These constraints could not be exposed to the user as “errors.”
The challenge was to design around hardware limitations through UI guidance and feedback that felt natural rather than corrective.

Sensor placement, lighting conditions, and physical posture directly affected readings. These constraints could not be exposed to the user as “errors.”
The challenge was to design around hardware limitations through UI guidance and feedback that felt natural rather than corrective.

Desk Research

What are Smart Health Mirrors?

Smart health mirrors are ambient computing surfaces that combine mirrors with sensors, cameras, and AI to passively capture health data as part of daily routines. They evolved from early ambient computing experiments into health-focused tools enabled by IoT, computer vision, and embedded systems.

Smart health mirrors are ambient computing surfaces that combine mirrors with sensors, cameras, and AI to passively capture health data as part of daily routines. They evolved from early ambient computing experiments into health-focused tools enabled by IoT, computer vision, and embedded systems.

Current use in Healthcare

Contactless vital monitoring

Contactless vital monitoring

Assisted living and remote patient observation

Assisted living and remote patient observation

Fitness, posture, and lifestyle tracking

Fitness, posture, and lifestyle tracking

Why Smart Health Mirrors Matter

Smart health mirrors are emerging as a natural evolution in healthcare by embedding preventive, personalized health monitoring into everyday life. As healthcare shifts from reactive treatment to proactive care, there is growing demand for continuous, low-effort health insights and remote monitoring through telemedicine.

Unlike traditional health devices that require active engagement and dedicated time, smart mirrors integrate seamlessly into daily routines. They passively capture multiple health parameters, reduce monitoring fatigue, and enable consistent longitudinal tracking—bridging the gap between everyday behavior and clinical healthcare.

Smart health mirrors are emerging as a natural evolution in healthcare by embedding preventive, personalized health monitoring into everyday life. As healthcare shifts from reactive treatment to proactive care, there is growing demand for continuous, low-effort health insights and remote monitoring through telemedicine.

Unlike traditional health devices that require active engagement and dedicated time, smart mirrors integrate seamlessly into daily routines. They passively capture multiple health parameters, reduce monitoring fatigue, and enable consistent longitudinal tracking—bridging the gap between everyday behavior and clinical healthcare.

THE approach

The approach focused on designing a health monitoring experience that felt effortless, trustworthy, and non-clinical while operating in public and semi-public environments.


  1. Understanding the Target Audience

The process began with studying the intended users and usage environments to understand motivations, comfort levels with health data, and expectations from a non-clinical health interface. This helped identify key sensitivities around privacy, trust, and ease of use.

The process began with studying the intended users and usage environments to understand motivations, comfort levels with health data, and expectations from a non-clinical health interface. This helped identify key sensitivities around privacy, trust, and ease of use.

  1. Defining Personas, Scenarios, and User Journeys

Based on early insights, user personas and realistic usage scenarios were defined to map how different users would encounter, interact with, and leave the mirror. These journeys helped clarify moments of confusion, hesitation, and opportunity across the experience.

Based on early insights, user personas and realistic usage scenarios were defined to map how different users would encounter, interact with, and leave the mirror. These journeys helped clarify moments of confusion, hesitation, and opportunity across the experience.

User Personas

User Scenarios

User Journey

  1. Ideation and Information Architecture

Multiple concepts were explored to determine what health information should be shown, in what order, and at what level of detail. A clear information architecture was created to prioritize essential vitals while keeping the interface uncluttered and easy to scan.

  1. Prototyping Beyond Static Screens

Given the dynamic and ambient nature of the mirror, static wireframes were insufficient. AI-assisted prototyping was used to simulate real-time data changes, interactions, and feedback loops, enabling faster iteration and more realistic validation of the experience.

Given the dynamic and ambient nature of the mirror, static wireframes were insufficient. AI-assisted prototyping was used to simulate real-time data changes, interactions, and feedback loops, enabling faster iteration and more realistic validation of the experience.

tools used

Google AI Studio for rapid AI experimentation and POCs

Google AI Studio for rapid AI experimentation and POCs

Claude + Cursor to build and test a functioning prototype that reflected real EMR behavior

Claude + Cursor to build and test a functioning prototype that reflected real EMR behavior

Timeline

Making a working prototype

We decided to use as many AI tools as we can to make a working prototype for the Smart Mirror to understand the users needs and what works best for them

We decided to use as many AI tools as we can to make a working prototype for the Smart Mirror to understand the users needs and what works best for them

Onboarding of the smart mirror

Scan selection

Results page and a detailed breakdown of the results

User Testing

After two weeks of getting a proper working prototype, we used an old TV to simulate a working smart mirror and conducted a user test

After two weeks of getting a proper working prototype, we used an old TV to simulate a working smart mirror and conducted a user test

Wizard of oz testing

a/b testing

Key Takeaways

Flow 1: Full Body Scan – Summary Report View

Flow 1: Full Body Scan – Summary Report View

Combine the summary screen with layered interactions — show one insight at a time with swipe or voice gesture navigation.

Combine the summary screen with layered interactions — show one insight at a time with swipe or voice gesture navigation.

Flow 2: Skin Analysis Flow

Flow 2: Skin Analysis Flow

Add a personalized summary card right after the scan that gently transitions into full metrics (e.g., “Here’s what we found most urgent → Tap to see all metrics”).

Add a personalized summary card right after the scan that gently transitions into full metrics (e.g., “Here’s what we found most urgent → Tap to see all metrics”).

Flow 3: Full Body Scan – Individual Metric Cards View

Flow 3: Full Body Scan – Individual Metric Cards View

Introduce smart prioritization — highlight top 3 insights (e.g., Water %, Posture, Muscle Mass) with a “See All” option. Use contextual microcopy like “This changed most since your last scan.”

Introduce smart prioritization — highlight top 3 insights (e.g., Water %, Posture, Muscle Mass) with a “See All” option. Use contextual microcopy like “This changed most since your last scan.”

Overall Takeaways

  1. Layered UI works best: Start with a score or summary → allow user-led exploration.

  1. Layered UI works best: Start with a score or summary → allow user-led exploration.

  1. Remove friction in onboarding: Any delays (like glasses prompt or unclear auto-starts) break immersion.

  1. Remove friction in onboarding: Any delays (like glasses prompt or unclear auto-starts) break immersion.

  1. Prioritize, not dump: Whether it's 8 skin metrics or 12 body insights, highlight the most relevant 2–3 first.

  1. Prioritize, not dump: Whether it's 8 skin metrics or 12 body insights, highlight the most relevant 2–3 first.

IMplement

We were designing for a 3D space instead of a phone screen

We decided to use as many AI tools as we can to make a working prototype for the Smart Mirror to understand the users needs and what works best for them

We decided to use as many AI tools as we can to make a working prototype for the Smart Mirror to understand the users needs and what works best for them

Design System

Typography

Colours

Elements and components

Canvas size *not to scale

Final UI of the smart mirror

Understanding and establishing a design system, it was time to finally design the flow for the smart mirror

Understanding and establishing a design system, it was time to finally design the flow for the smart mirror

Face Scan + Onboarding

Scanning the height and weight of the user

Results and a Health Risk Assessment for a first time user

Dashboard and Data visualisations for trends

Full body scan animation and real time feedback

Snippets of the scanned results + report with the breakdown

impact & Limitations

From Internal Validation to Real-World Deployment

The smart health mirror is designed as a low-friction addition to the company’s wellness ecosystem, enabling employees to quickly check key health indicators and encouraging small, consistent behavior changes without disrupting daily routines. Over time, this can improve health awareness, support early risk detection, and contribute to a more engaged and productive workforce.

As an early-stage concept, the project faced practical constraints. Testing was conducted on a standard display rather than dedicated mirror hardware, limiting realism and real-time scanning validation. Despite these limitations, iterative prototyping and continuous feedback helped establish a strong proof of concept and a clear foundation for future refinement.

The smart health mirror is designed as a low-friction addition to the company’s wellness ecosystem, enabling employees to quickly check key health indicators and encouraging small, consistent behavior changes without disrupting daily routines. Over time, this can improve health awareness, support early risk detection, and contribute to a more engaged and productive workforce.

As an early-stage concept, the project faced practical constraints. Testing was conducted on a standard display rather than dedicated mirror hardware, limiting realism and real-time scanning validation. Despite these limitations, iterative prototyping and continuous feedback helped establish a strong proof of concept and a clear foundation for future refinement.

Key learnings

My first 0 - 1 project taught me a lot

Design in a Real-World Context:

Understood how design decisions are influenced by organizational priorities, business feasibility, and stakeholder expectations.

Understood how design decisions are influenced by organizational priorities, business feasibility, and stakeholder expectations.

Designing Without Final Hardware:

Learned to simulate and test experiences using proxy tools (like a TV display) when actual hardware (camera + mirror) wasn’t available, while still focusing on usability and experience fidelity.

Learned to simulate and test experiences using proxy tools (like a TV display) when actual hardware (camera + mirror) wasn’t available, while still focusing on usability and experience fidelity.

Interface Design for Ambient Displays:

Built for a unique modality where users engage with a non-handheld screen, learning to prioritize gestureless interactions, large type, and minimal touch.

Built for a unique modality where users engage with a non-handheld screen, learning to prioritize gestureless interactions, large type, and minimal touch.