Type
Type
Independent
Independent
Role
Role
UI / UX Design
UI / UX Design
Research
Ideation
Ideation
Branding
Prototyping
Prototyping
Timeline
Timeline
Sep - Dec 2025 (14 weeks)
Sep - Dec 2025 (14 weeks)
Tools
Tools
Figma
Figma
After Effects
After Effects
FloraSense
FloraSense
FloraSense
FloraSense is a camera-based, AI-driven interaction system that supports learning and emotional wellbeing through everyday engagement with flowers. By interpreting visual input from real-world environments, the system offers contextual guidance, arrangement support, and gentle reflective prompts without requiring prior knowledge or explicit user intent. FloraSense integrates learning and healing within a single, low-effort experience, transforming ordinary encounters with flowers into moments of discovery, creativity, and calm.
FloraSense is a camera-based, AI-driven interaction system that supports learning and emotional wellbeing through everyday engagement with flowers. By interpreting visual input from real-world environments, the system offers contextual guidance, arrangement support, and gentle reflective prompts without requiring prior knowledge or explicit user intent. FloraSense integrates learning and healing within a single, low-effort experience, transforming ordinary encounters with flowers into moments of discovery, creativity, and calm.
Context
Context
Floral arrangement has became a mainstream on social platforms, as well as the practice of floral therapy. These shifts place floral arrangement between public sharing and personal reflection, suggesting its potential as a medium for both learning and emotional wellbeing.
The United States floriculture market size was valued at USD 8.11 Billion in 2024 and is projected to reach USD 14.05 Billion by 2033.
The United States floriculture market size was valued at USD 8.11 Billion in 2024 and is projected to reach USD 14.05 Billion by 2033.
The United States floriculture market size was valued at USD 8.11 Billion in 2024 and is projected to reach USD 14.05 Billion by 2033.
IMARC Group, 2024
IMARC Group, 2024
IMARC Group, 2024
The Problem
The Problem
Floral design feels intimidating for beginners
Floral design feels intimidating for beginners
Learning is fragmented — no interactive feedback
Learning is fragmented —
no interactive feedback
Wellness tools feel perscriptive
Wellness tools feel perscriptive
FloraSense asks:
What if we design a system that transforms everyday interactions with flowers into moments of learning and emotional regulation?
What if we design a system that transforms everyday interactions with flowers into moments of learning and emotional regulation?
What if we design a system that transforms everyday interactions with flowers into moments of learning and emotional regulation?
Solution
Solution
A camera-based, context-aware interaction system that embeds learning and emotional support directly into everyday encounters with flowers by providing real-time, lightweight guidance through visual recognition, adaptive prompts, and optional AR support.
A camera-based, context-aware interaction system that embeds learning and emotional support directly into everyday encounters with flowers by providing real-time, lightweight guidance through visual recognition, adaptive prompts, and optional AR support.
Design Goals
Design Goals
Goal 1
Goal 1
Minimize cognitive load
Minimize cognitive load
Goal 2
Goal 2
Balance learning and healing within a single system
Balance learning and healing within a single system
Goal 3
Goal 3
Fluid transitions
Fluid transitions
Goal 4
Goal 4
Calming design language
Calming design language
Information Architecture
Information Architecture
Design System
Design System
The primary colors are derived from real-world healing environments, such as spas and meditation centers, to support a calm and restorative visual experience.
The primary colors are derived from real-world healing environments, such as spas and meditation centers, to support a calm and restorative visual experience.
Prompt Library
Prompt Library
These are some examples of the prompts leading to different modes.
These are some examples of the prompts leading to different modes.
Learning Mode
“Mom’s birthday is coming up—help me think of a thoughtful idea.”
“I want to understand this better before I move forward.”
“Help me learn how to do this in a simple way.”
Learning Mode
“Mom’s birthday is coming up—help me think of a thoughtful idea.”
“I want to understand this better before I move forward.”
“Help me learn how to do this in a simple way.”
Learning Mode
“Mom’s birthday is coming up—help me think of a thoughtful idea.”
“I want to understand this better before I move forward.”
“Help me learn how to do this in a simple way.”
Healing Mode
“I feel overwhelmed from work and don’t know where to start.”
“Everything feels like too much today.”
“Can you help me feel a little calmer right now?”
Healing Mode
“I feel overwhelmed from work and don’t know where to start.”
“Everything feels like too much today.”
“Can you help me feel a little calmer right now?”
Final Outcome
Final Outcome
Use Case #1
Use Case #1
FloraCam - Floral Recognition
FloraCam - Floral Recognition
When users encounter flowers in everyday settings such as grocery stores or along the street, FloraCam enables them to identify flower types, understand associated floral meanings, and explore arrangement suggestions with a single tap.
When users encounter flowers in everyday settings such as grocery stores or along the street, FloraCam enables them to identify flower types, understand associated floral meanings, and explore arrangement suggestions with a single tap.
Use Case #2
Use Case #2
FloraCam - Living Space Enhancement
FloraCam - Living Space Enhancement
Users capture their living space and receive floral decoration suggestions tailored to that environment.
Users capture their living space and receive floral decoration suggestions tailored to that environment.
Use Case #3
Use Case #3
Learning Mode
Learning Mode
When the system detects input prompt as a "task", it leads users to the learning mode.
When the system detects input prompt as a "task", it leads users to the learning mode.
Use Case #4
Use Case #4
Learning Mode - AR Walkthrough
Learning Mode - AR Walkthrough
Real-time, step-by-step AR walkthrough that overlays guidance directly onto the user’s physical floral arrangement.
Real-time, step-by-step AR walkthrough that overlays guidance directly onto the user’s physical floral arrangement.
Use Case #5
Use Case #5
Learning Mode - AR Brush
Learning Mode - AR Brush
The arrangement can be dragged, placed, and scaled within different environments or overlaid onto photos
The arrangement can be dragged, placed, and scaled within different environments or overlaid onto photos
Use Case #6
Use Case #6
Prompt Refresh
Prompt Refresh
One simple click to a new suggested prompt.
One simple click to a new suggested prompt.
Use Case #7
Use Case #7
Calendar Syncing
Calendar Syncing
Allows users to sync their personal calendar events to receive timely bouquet suggestions and notifications.
Allows users to sync their personal calendar events to receive timely bouquet suggestions and notifications.
Use Case #8
Use Case #8
Healing Mode
Healing Mode
When the system detects input prompt with emotions, it leads users to the healing mode.
When the system detects input prompt with emotions, it leads users to the healing mode.
Use Case #9
Use Case #9
Healing Mode - Ambient Background
Healing Mode - Ambient Background
Creates an immersive visual environment to support relaxation during floral interaction. Whenever users want to end the session, it allows them to leave "quietly".
Creates an immersive visual environment to support relaxation during floral interaction. Whenever users want to end the session, it allows them to leave "quietly".
Takeaways
Takeaways
Everyday objects such as flowers can become meaningful interfaces when learning and wellbeing are integrated into the same interaction.
Camera-based systems enable low-effort engagement by allowing users to learn and reflect through observation rather than explicit input.
Everyday objects such as flowers can become meaningful interfaces when learning and wellbeing are integrated into the same interaction.
Camera-based systems enable low-effort engagement by allowing users to learn and reflect through observation rather than explicit input.