bai-Mind-64

pip install -r requirements.txt

import numpy as np
from tensorflow import keras

# Load pre-trained model
model = keras.models.load_model('path/to/your/model.h5')

# Your EEG data (1 second, 64 channels, 250 Hz sampling)
eeg_data = np.random.randn(250, 64)  # Replace with real EEG

# Make prediction
prediction = model.predict(eeg_data.reshape(1, 250, 64))
classes = ['Up', 'Down', 'Left', 'Right']
predicted_command = classes[np.argmax(prediction)]

print(f"Predicted command: {predicted_command}")
print(f"Confidence: {np.max(prediction):.3f}")