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README.md

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+---
+license: mit
+tags:
+- computer-vision
+- image-classification
+- waste-classification
+- keras
+- tensorflow
+---
+
+# CleanCity Waste Classifier
+
+Waste classification model for the CleanCity application.
+
+## Model Description
+
+This is a Keras/TensorFlow model trained to classify different types of waste:
+- Organic
+- Plastic
+- Paper
+- Metal
+- Glass
+- Cardboard
+
+## Usage
+
+```python
+from tensorflow import keras
+import numpy as np
+from PIL import Image
+
+# Load model
+model = keras.models.load_model('waste_classifier_best.h5')
+
+# Prepare image
+img = Image.open('waste_image.jpg').resize((224, 224))
+img_array = np.array(img) / 255.0
+img_array = np.expand_dims(img_array, axis=0)
+
+# Predict
+prediction = model.predict(img_array)
+categories = ['organic', 'plastic', 'paper', 'metal', 'glass', 'cardboard']
+result = categories[np.argmax(prediction)]
+
+print(f"Predicted: {result}")
+```
+
+## Model Details
+
+- **Framework:** TensorFlow/Keras
+- **Input Size:** 224x224
+- **Output:** 6 classes
+- **Format:** .h5 (Keras)
+
+## Application
+
+This model is used in the CleanCity civic waste reporting application.
+
+Repository: [CleanCity-AI](https://github.com/ay8112)