Create data_generator.py

features/synthetic_data_generation/data_generator.py

@@ -0,0 +1,34 @@
+# data_generator.py
+import synthpop
+from synthpop import Synthesizer
+
+def synthetic_data_generation():
+    # Initialize the synthetic data generator
+    synthesizer = Synthesizer()
+
+    # Define the synthetic data generation algorithm
+    algorithm = synthesizer.add_algorithm('synthetic_data_generation')
+
+    # Run the synthetic data generation algorithm
+    data = algorithm.generate(1000)
+
+    return data
+
+# ai_trainer.py
+import tensorflow as tf
+from tensorflow.keras.models import Sequential
+
+def ai_trainer(data):
+    # Define the AI training algorithm
+    model = Sequential()
+    model.add(tf.keras.layers.Dense(64, activation='relu', input_shape=(10,)))
+    model.add(tf.keras.layers.Dense(64, activation='relu'))
+    model.add(tf.keras.layers.Dense(10, activation='softmax'))
+
+    # Compile the AI training algorithm
+    model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
+
+    # Train the AI model
+    model.fit(data, epochs=10)
+
+    return model