phase 1

model/train.py

@@ -0,0 +1,19 @@
+import json
+import numpy as np
+import tensorflow as tf
+
+with open('model/dataset.json', 'r') as f:
+    data = json.load(f)
+
+X = np.array([d['x'] for d in data])
+y = np.array([d['y'] for d in data])
+
+model = tf.keras.Sequential([
+    tf.keras.layers.Dense(32, activation='relu', input_shape=(4,)),
+    tf.keras.layers.Dense(16, activation='relu'),
+    tf.keras.layers.Dense(1)
+])
+model.compile(optimizer='adam', loss='mse')
+model.fit(X, y, epochs=200, verbose=0)
+model.save('model/constant_model.keras')
+print("Model saved to model/constant_model.keras")