diff --git a/.kokoro/cloudairway.py b/.kokoro/cloudairway.py
new file mode 100644
index 0000000000..56b7a0f431
--- /dev/null
+++ b/.kokoro/cloudairway.py
@@ -0,0 +1,45 @@
+from flask import Flask, request, jsonify
+from google.cloud import aiplatform
+
+app = Flask(__name__)
+
+# ✅ Replace these with your actual values (already given)
+PROJECT_ID = "569713108976"
+REGION = "us-central1"
+ENDPOINT_ID = "1010876696926093312"
+
+# Initialize AI Platform client
+client = aiplatform.gapic.PredictionServiceClient()
+endpoint = f"projects/{PROJECT_ID}/locations/{REGION}/endpoints/{ENDPOINT_ID}"
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    """
+    Expects JSON payload like:
+    {
+        "instances": [
+            {
+                "hr_bpm": 80,
+                "spo2_pct": 95,
+                "bp_sys_mean": 120,
+                "bp_dia_mean": 80,
+                "rr_mean": 16,
+                "temp_mean": 36.8
+            }
+        ]
+    }
+    """
+    try:
+        input_data = request.json.get("instances", [])
+        if not input_data:
+            return jsonify({"error": "No instances provided"}), 400
+
+        response = client.predict(endpoint=endpoint, instances=input_data)
+        return jsonify({"predictions": response.predictions})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    import os
+    port = int(os.environ.get("PORT", 8080))  # Cloud Run requires this
+    app.run(host="0.0.0.0", port=port)
diff --git a/.kokoro/cloudprj.py b/.kokoro/cloudprj.py
new file mode 100644
index 0000000000..711ad5bc77
--- /dev/null
+++ b/.kokoro/cloudprj.py
@@ -0,0 +1,31 @@
+from flask import Flask, request, jsonify
+from google.cloud import aiplatform
+
+app = Flask(__name__)
+
+PROJECT_ID = "569713108976"
+REGION = "us-central1"
+ENDPOINT_ID = "1010876696926093312"
+
+client = aiplatform.gapic.PredictionServiceClient()
+endpoint = f"projects/{PROJECT_ID}/locations/{REGION}/endpoints/{ENDPOINT_ID}"
+
+@app.route("/")
+def home():
+    return "Airway prediction API is running!"
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    try:
+        input_data = request.json.get("instances", [])
+        if not input_data:
+            return jsonify({"error": "No instances provided"}), 400
+        response = client.predict(endpoint=endpoint, instances=input_data)
+        return jsonify({"predictions": response.predictions})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    import os
+    port = int(os.environ.get("PORT", 8080))
+    app.run(host="0.0.0.0", port=port)
diff --git a/.kokoro/requirments.txt b/.kokoro/requirments.txt
new file mode 100644
index 0000000000..764492350d
--- /dev/null
+++ b/.kokoro/requirments.txt
@@ -0,0 +1,2 @@
+Flask
+google-cloud-aiplatform
diff --git a/req.py b/req.py
new file mode 100644
index 0000000000..10ac6537c7
--- /dev/null
+++ b/req.py
@@ -0,0 +1,3 @@
+my-repo/
+ ├── main.py
+ ├── requirements.txt