--- a
+++ b/notebooks/model/inference/inference.ipynb
@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from time import time \n",
+    "import warnings\n",
+    "import pandas as pd\n",
+    "import joblib\n",
+    "\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Prediction: 99% - Benign\n",
+      "Prediction Speed: 0.003\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load trained model\n",
+    "model = joblib.load('../../../models/gradient_boosting.joblib')\n",
+    "\n",
+    "'''\n",
+    "GENDER: (1 - male, 2 - female)\n",
+    "AGE: any\n",
+    "SMOKING: (1 - no, 2 - yes)\n",
+    "YELLOW_FINGERS: (1 - no, 2 - yes)\n",
+    "FATIGUE: (1 - no, 2 - yes)\n",
+    "WHEEZING: (1 - no, 2 - yes)\n",
+    "COUGHING: (1 - no, 2 - yes)\n",
+    "SHORTNESS OF BREATH: (1 - no, 2 - yes)\n",
+    "SWALLOWING DIFFICULTY: (1 - no, 2 - yes)\n",
+    "CHEST PAIN: (1 - no, 2 - yes)\n",
+    "CHRONIC DISEASE: (1 - no, 2 - yes)\n",
+    "\n",
+    "'''\n",
+    "\n",
+    "new_data = [1,24,1,1,2,1,1,2,1,1,1] # My health status\n",
+    "\n",
+    "timer = time()\n",
+    "\n",
+    "pred = model.predict([new_data])[0] # Predict new data\n",
+    "proba = f'{(model.predict_proba([new_data])[0][pred] * 100):.0f}%' # Get the prediction outcome\n",
+    "\n",
+    "if pred == 1:\n",
+    "   print(f'Prediction: {proba} - Affected')\n",
+    "else:\n",
+    "   print(f'Prediction: {proba} - Benign')\n",
+    "\n",
+    "print(f'Prediction Speed: {(time() - timer):.3f}')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}