GROW WITH INTELLIGENCE

In development

AI for everyday life

Plantypia

Better plant care starts with a photo.

A photo-based service that helps identify plants, recognize visible signs of trouble, and understand how to care for them.

HOW IT COMES TOGETHER

The core workflow
  1. 01

    Plant photo

  2. 02

    AI image analysis

  3. 03

    Identity and condition

  4. 04

    Care guidance

01 / THE QUESTION

The problem we set out to solve.

New plant owners may not know a plant's name or how to water it. When leaves change color or shape, it can be hard to describe what is happening.

02 / OUR APPROACH

Our approach.

AI interprets an uploaded photo to help with identification and condition assessment. We turn those findings into practical care guidance that helps users decide what to do next.

  1. 01

    Photo-based identification

    Visual features are used to suggest a plant name, with an identification confidence score and explanation.

  2. 02

    Condition and care guidance

    Visible symptoms are analyzed to suggest possible causes and care steps.

  3. 03

    Multilingual guidance

    The interface and analysis flow are designed for English, Korean, Japanese, and Chinese.

  4. 04

    Images and results

    Image processing, storage integration, and a database support analysis requests and their results.

03 / INTELLIGENCE AT WORK

Where AI does the work.

OpenAI's image understanding interprets a plant's visual features and symptoms. Identification and condition analysis are separate flows, each designed for its own purpose.

04 / WHERE WE ARE

Where the project stands.

We are improving plant identification, condition analysis, and multilingual guidance. Image storage and result management are in place as we refine the path from a photo to everyday care.

Photo analysis offers reference information for identification and care. It is not a definitive professional diagnosis of a plant's condition.