recodehive · sanjay-kv · Jun 4, 2024 · Jun 1, 2024 · Jun 1, 2024
diff --git a/Plant-Disease-Prediction/README.md b/Plant-Disease-Prediction/README.md
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+# Tomato Plant Disease Prediction using TinyML
+
+## Description
+This project develops a lightweight machine learning model techniques to detect tomato plant diseases from leaf images in real-time. By leveraging TensorFlow, the model runs directly on edge devices, providing immediate insights for agricultural decision-making. With a dataset of 16,011 images across 10 disease categories, the model undergoes rigorous preprocessing, augmentation, and optimization. Real-world testing validates its effectiveness, offering farmers a convenient tool for on-site disease diagnosis, potentially revolutionizing agricultural practices.
+
+
+### Dataset Used - [Plant Disease](https://www.kaggle.com/datasets/emmarex/plantdisease)
+
+## Input
+![alt text](image-1.png)
+
+## Output
+![alt text](image-3.png)
+
+## Technology Stack
+- TensorFlow
+- TensorFlow Lite
+- Python
diff --git a/Plant-Disease-Prediction/image-1.png b/Plant-Disease-Prediction/image-1.png
diff --git a/Plant-Disease-Prediction/image-3.png b/Plant-Disease-Prediction/image-3.png
diff --git a/Plant-Disease-Prediction/model.ipynb b/Plant-Disease-Prediction/model.ipynb