diff --git a/public/src/modules/helpers.common.js b/public/src/modules/helpers.common.js
index df70fb2e..cafe9d5c 100644
--- a/public/src/modules/helpers.common.js
+++ b/public/src/modules/helpers.common.js
@@ -345,7 +345,7 @@ module.exports = function (utils, Benchpress, relative_path) {
     }
 
     function getPredictionColor(prediction) {
-        if (prediction === 1) { return `"background-color: rgb(0, 255, 0);"`; }
+        if (prediction === '1') { return `"background-color: rgb(0, 255, 0);"`; }
         return `"background-color: rgb(255, 0, 0);"`;
     }
 
diff --git a/src/controllers/write/career.js b/src/controllers/write/career.js
index d92460d2..f32698f4 100644
--- a/src/controllers/write/career.js
+++ b/src/controllers/write/career.js
@@ -20,7 +20,18 @@ Career.register = async (req, res) => {
             num_past_internships: userData.num_past_internships,
         };
 
-        userCareerData.prediction = Math.round(Math.random()); // TODO: Change this line to do call and retrieve actual candidate success prediction from the model instead of using a random number
+        try {
+            // deployed url for the microservice
+            const deployedUrl = 'https://python-microservice-f474tbkenq-uc.a.run.app/predict';
+            // sending http request to the url
+            const params = new URLSearchParams(userCareerData);
+            const response = await fetch(`${deployedUrl}?${params}`);
+            const data = await response.json();
+            // getting the prediction based on the response from the http request
+            userCareerData.prediction = String(data.good_employee);
+        } catch (error) {
+            console.error('Error while making the HTTP request:', error);
+        }
 
         await user.setCareerData(req.uid, userCareerData);
         db.sortedSetAdd('users:career', req.uid, req.uid);