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ML application on ESP32-S3-EYE (Image classification for Plant Health Monitoring)

Developed and deployed a CNN-based image classification model on the ESP32-S3-EYE platform for real-time plant health monitoring. Model optimized using TensorFlow Lite for microcontrollers.

Hardware Setup

Setup Block Diagram

The workflow is as follows:

CNN Model architecture

Setup Block Diagram

Dataset

Model Performance

Images after data augmentation

Sample Predictions

RESULTS:

Detection Result of Mint leaves for various categories on LCD

Serial Port output

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Image Detection and Classification

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