Create vr_ar_integrations.py

blockchain_integration/pi_network/pi_network_university/vr_ar_integrations.py

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+import cv2
+import numpy as np
+from sklearn.decomposition import PCA
+
+# Load VR/AR model
+model = cv2.imread('models/vr_ar_model.obj')
+
+# Define VR/AR integration function
+def integrate_vr_ar(course_data):
+    # Extract features from course data
+    features = np.array([course_data['feature1'], course_data['feature2'], ...])
+
+    # Apply PCA to reduce dimensionality
+    pca = PCA(n_components=3)
+    features_pca = pca.fit_transform(features)
+
+    # Create 3D points from PCA features
+    points = np.array([features_pca[:, 0], features_pca[:, 1], features_pca[:, 2]]).T
+
+    # Render 3D points using VR/AR model
+    rendered_image = cv2.render(points, model)
+
+    return rendered_image