florish.
Reimagining Plant Care With Context-Aware AI
People love their plants. Caring for them provides aesthetic, emotional, and even therapeutic rewards.
So why do our plants keep dying?
skills
Prototyping
AI Integration
User Research
tools
Figma
Protopie
After Effects
Blender
timeline
6 weeks
team
Esha Nalla
context
Plant care today forces people to choose between overwhelming generic advice and pure guesswork. Florish is a multimodal AI plant care system that understands your plants in context — your space, routines, environment, and goals.
why plant care fails
People didn’t lack information. They lacked confidence.
Through interviews and contextual inquiry, we found that uncertainty was the biggest barrier to successful plant care. Existing resources provide generic advice detached from the environments plants actually live in.
"
I don’t even know what terms to look up to figure out how to help my plant recover, so I just don’t.
"
I didn't know what my plant needed so I just watched it die.
3 key moments.
Support should differ based on where users are in their plant care journey.
New Plant Phase
Users need clear, confidence-building guidance to get started & create routines.
Monitoring Phase
Users want help tracking tasks & interpreting subtle changes before problems escalate.
Emergency Phase
When something goes wrong, users need calm, step-by-step recovery support.
Florish in practice
Florish adapts to each of these moments in real time.
Scan your space
Place your plant
Something doesn’t look right…
Florish diagnoses the issue
Build confidence over time
solution.
CORE FLOWS.
personalized onboarding & spatial understanding.
The user journey starts with onboarding, where Florish learns the user's experience level and preferences to shape their support and care schedule.
Room scan uses the phone's sensors to analyze the space and light conditions, providing personalized plant placement recommendations rather than generic advice.
plant analysis & growing garden
Florish uses the phone's camera to identify plants and analyze visual health indicators, generating accurate care plans from the start.
After naming their plant, users receive placement recommendations based on room scan data. Additional plants can be added anytime as collections grow.
AI assistant & probabilistic results
An AI assistant is available at any point for questions, concerns, or observations through chat, voice, or scanning.
Because Florish understands each plant's specific context, it creates a probabilistic interface that adapts responses to provide exactly what users need in the moment.
emergency detection & recovery care
When Florish detects a plant in critical condition, it immediately notifies the user and provides diagnosis with step-by-step recovery instructions.
Users can opt for real-time visual guidance through each step. After immediate care, Florish provides next steps and check-ins to monitor recovery progress.
visual system
A calm, unobtrusive system that stays in the background, allowing the natural beauty of plants to lead.
from static advice to living data
Subtle signals become visible before they become problems.
A lightweight sensor captures real-time data like moisture and light, giving Florish a continuous understanding of each plant.
reflection
i learned and stuff