SELECTED WORK / 03 / COMPUTER VISION / DEEP LEARNING
A different kind of vision.
Real-Time Plant Recognition System
From a leaf image to a medicinal plant identification. Seeing the natural world through deep learning.
CONCEPT INTERFACE · ILLUSTRATIVE WORKFLOW01 / THE QUESTION
The problem.
Identifying medicinal plants from leaf images calls for a visual recognition pipeline that handles input preparation and inference efficiently.
02 / THE BUILD
Scope & approach.
AI-powered medicinal plant identification using leaf images.
Built a deep-learning computer vision pipeline and optimized preprocessing and inference to improve prediction speed and model efficiency.
03 / SYSTEM THINKING
From input to outcome.
- 01Leaf image
- 02Preprocessing
- 03Deep-learning inference
- 04Plant identification
Conceptual flow based on the résumé description; it is not a complete implementation specification.
04 / ENGINEERING REFLECTION
The connection that matters.
Preprocessing and inference form one user experience. Improving both matters for responsive visual recognition.
05 / VERIFIED OUTCOME
What was built.
Built and optimized the recognition pipeline. The résumé does not specify a dataset, model architecture, accuracy, or latency figure.
Project details are limited to the supplied résumé. No public repository or demo URL was provided.