PhytoAI — AI-Powered Plant Intelligence Platform
Combining botany and artificial intelligence for AI-assisted plant identification.
VISIT LIVE SITEROLE
Developer & Product Designer
TIMELINE
AI Project
TEAM
Solo Project
CLIENT / ORG
PhytoAI — Self-initiated
AI
Plant Identification
CV
Vision Models
Beta
Experimental
OVERVIEW
PhytoAI is a project combining an interest in botany with artificial intelligence. The platform is designed around AI-assisted plant identification and botanical information, exploring how computer vision can make botanical knowledge more accessible.
THE PROBLEM
Identifying plants typically requires specialist knowledge or digging through scattered sources. PhytoAI explores how AI and computer vision can make that knowledge instant and accessible.
KEY DESIGN & ENGINEERING DECISIONS
01. AI-Assisted Plant Identification
Users identify plants from images, with computer vision doing the heavy lifting.
02. Botanical Information Layer
Each identification is paired with useful botanical information to make the result genuinely educational.
03. Accessible, Exploratory UX
A clean interface that makes botanical knowledge feel approachable rather than academic.
TECH STACK & TOOLS
IMPACT & RESULTS
- Live / experimental platform exploring AI and botany.
- Computer vision applied to real plant identification.
- A foundation for making botanical knowledge more accessible.