diff --git a/tests/test_get_visual_communication.py b/tests/test_get_visual_communication.py
index 57e7c0b..21787c3 100644
--- a/tests/test_get_visual_communication.py
+++ b/tests/test_get_visual_communication.py
@@ -18,4 +18,4 @@ if __name__ == "__main__":
     print(client.server_info())
     # get visual communication
     vis_com = get_visual_communication(collection)
-    print(vis_com.image)
\ No newline at end of file
+    print(vis_com)
diff --git a/tests/test_model_outputs_from_annotation.py b/tests/test_model_outputs_from_annotation.py
new file mode 100644
index 0000000..d64b3b5
--- /dev/null
+++ b/tests/test_model_outputs_from_annotation.py
@@ -0,0 +1,13 @@
+from src.database import ModelOutputs
+
+
+if __name__ == "__main__":
+    # instantiate data object
+    annotation = {
+        
+    }
+    vis_com_list = [ModelOutputs.from_annotation(path) for path in img_path_list]
+    # generate random predictions
+    [vis_com.generate_random_prediction() for vis_com in vis_com_list]
+    for vis_com in vis_com_list:
+        print(vis_com)
\ No newline at end of file
diff --git a/tests/test_prediction_upload.py b/tests/test_prediction_upload.py
new file mode 100644
index 0000000..871ef3f
--- /dev/null
+++ b/tests/test_prediction_upload.py
@@ -0,0 +1,44 @@
+from pathlib import Path
+from dotenv import load_dotenv
+import os
+import logging
+
+from src.database import (
+    VisualCommunication,
+    connect,
+    upsert_predictions
+)
+
+if __name__ == "__main__":
+    # setup logging
+    fmt = (
+        '%(asctime)s | '
+        '%(levelname)s | '
+        '%(filename)s | '
+        '%(funcName)s | '
+        '%(message)s'
+    )
+    datefmt = '%Y-%m-%d %H:%M:%S'
+    logging.basicConfig(format=fmt, datefmt=datefmt, level=logging.INFO)
+    # get list of image paths
+    test_dir = Path(__file__).parent
+    img_dir = test_dir / "imgs"
+    img_path_list = [path for path in img_dir.glob("*.jpeg") if path.is_file()]
+    # instantiate data object
+    vis_com_list = [VisualCommunication.from_file(path) for path in img_path_list]
+    # generate random predictions
+    [vis_com.generate_random_prediction() for vis_com in vis_com_list]
+    # prepare env vars
+    env_path = test_dir.parent / "local.env"
+    assert env_path.exists()
+    load_dotenv(env_path)
+    os.environ["MONGO_HOST"] = "localhost"
+    # connect to database
+    collection, db, client = connect()
+    # upload visual communication
+    for vis_com in vis_com_list:
+        upsert_predictions(
+            collection=collection,
+            vis_com_name=vis_com.name,
+            predictions=vis_com.prediction,
+        )