--- a
+++ b/api/app/routes.py
@@ -0,0 +1,51 @@
+from flask import Blueprint, request, jsonify
+import joblib
+import os
+
+from app.load_model import model
+
+blueprint = Blueprint('blue_print', __name__)
+
+# Prediction request
+@blueprint.route('/predict', methods=['POST'])
+def predict():
+    # Get the new value
+    gender = request.json.get('gender')
+    age = request.json.get('age')
+    smoking = request.json.get('smoking')
+    yellow_skin = request.json.get('yellow_skin')
+    fatigue = request.json.get('fatigue')
+    wheezing = request.json.get('wheezing')
+    coughing = request.json.get('coughing')
+    shortness_of_breath = request.json.get('shortness_of_breath')
+    swallowing_difficulty = request.json.get('swallowing_difficulty')
+    chest_pain = request.json.get('chest_pain')
+    chronic_disease = request.json.get('chronic_disease')
+
+    # Value type request
+    def convert_data(data):
+        if isinstance(data, int):
+           return int(data)
+        
+        elif isinstance(data, str):
+           return str(data)
+
+    # Input data for prediction
+    data = [
+            convert_data(gender), 
+            convert_data(age), 
+            convert_data(smoking), 
+            convert_data(yellow_skin), 
+            convert_data(fatigue), 
+            convert_data(wheezing), 
+            convert_data(coughing), 
+            convert_data(shortness_of_breath), 
+            convert_data(swallowing_difficulty), 
+            convert_data(chest_pain), 
+            convert_data(chronic_disease)
+           ]
+
+    pred = model.predict([data])[0] # Predict new data
+    proba = model.predict_proba([data])[0][pred] # Get the prediction outcome
+
+    return jsonify({'prediction': int(pred), 'proba': float(proba)}), 200