diff --git a/notebooks/analysis.ipynb b/notebooks/analysis.ipynb
index 68fd880..4d3a7d4 100644
--- a/notebooks/analysis.ipynb
+++ b/notebooks/analysis.ipynb
@@ -345,7 +345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "cdfeb309",
    "metadata": {},
    "outputs": [
@@ -398,7 +398,7 @@
     "optimal_fat_idx = df['fat_carb_ratio'].idxmax()\n",
     "optimal_row = df.loc[optimal_fat_idx]\n",
     "\n",
-    "print(f\"Optimal Fat Burning Zone (highest fat:carb ratio):\")\n",
+    "print(\"Optimal Fat Burning Zone (highest fat:carb ratio):\")\n",
     "print(f\"Time: {optimal_row['T(sec)']} seconds\")\n",
     "print(f\"Fat burn rate: {optimal_row['FAT_smoothed']:.3f} kcal/min\")\n",
     "print(f\"Carb burn rate: {optimal_row['CHO_smoothed']:.3f} kcal/min\")\n",
@@ -552,7 +552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "07593b56",
    "metadata": {},
    "outputs": [
diff --git a/notebooks/graphs.ipynb b/notebooks/graphs.ipynb
index 1a49fd2..5ee1e66 100644
--- a/notebooks/graphs.ipynb
+++ b/notebooks/graphs.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "63f43af5",
    "metadata": {},
    "outputs": [],
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "97da3d1c",
    "metadata": {},
    "outputs": [],
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "b0ee2af1",
    "metadata": {},
    "outputs": [
@@ -42,7 +42,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_59747/3076306744.py:3: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
+      "/tmp/ipykernel_67838/3076306744.py:3: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
       "  df = df.apply(pd.to_numeric, errors='ignore')\n"
      ]
     }
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "99116a35",
    "metadata": {},
    "outputs": [],
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "fbd292c3",
    "metadata": {},
    "outputs": [
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "4c439b2c",
    "metadata": {},
    "outputs": [
@@ -167,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "a565f1b3",
    "metadata": {},
    "outputs": [
@@ -237,7 +237,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "470e871e",
    "metadata": {},
    "outputs": [
@@ -431,7 +431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "0ab6f0b0",
    "metadata": {},
    "outputs": [
@@ -577,7 +577,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "ef8bc7ac",
    "metadata": {},
    "outputs": [
@@ -638,7 +638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "06244aa2",
    "metadata": {},
    "outputs": [
@@ -753,7 +753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "8a1878a0",
    "metadata": {},
    "outputs": [
@@ -832,7 +832,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "7361fb05",
    "metadata": {},
    "outputs": [
@@ -893,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "c89478ff",
    "metadata": {},
    "outputs": [
@@ -953,7 +953,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "1db16040",
    "metadata": {},
    "outputs": [
@@ -1028,13 +1028,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "c8ad6076",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x550 with 1 Axes>"
       ]
@@ -1109,7 +1109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 17,
    "id": "25327cc1",
    "metadata": {},
    "outputs": [
@@ -1415,16 +1415,346 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "84addc63",
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "==================================================\n",
+      "Optimal Fat Burning Zone (highest fat:carb ratio):\n",
+      "Time: 164.0 seconds\n",
+      "Fat burn rate: 3.894 kcal/min\n",
+      "Carb burn rate: 1.575 kcal/min\n",
+      "Fat:Carb ratio: 2.47\n",
+      "Heart Rate: 96.7 bpm\n",
+      "VO2: 1147.9 ml/min\n",
+      "VT1: {'HeartRate': 100.5, 'Speed': 4.0, 'Time': 251.0}\n",
+      "VT2: {'HeartRate': 189.71300000000002, 'Speed': 7.5, 'Time': 1524.0}\n",
+      "Zone 1 (Active Recovery): 81.7 - 96.7 bpm\n",
+      "Zone 2 (Aerobic Base): 96.7 - 100.5 bpm\n",
+      "Zone 3 (Aerobic): 100.5 - 179.7 bpm\n",
+      "Zone 4 (Lactate Threshold): 179.7 - 189.7 bpm\n",
+      "Zone 5 (VO2 Max): 189.7 - 199.7 bpm\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "# Find the point where fat burning is highest and carb burning is lowest\n",
+    "# Using the smoothed data for more stable results\n",
+    "fat_burn_max_idx = df['FAT_smoothed'].idxmax()\n",
+    "carb_burn_min_idx = df['CHO_smoothed'].idxmin()\n",
+    "\n",
+    "# # Get the data at maximum fat burning point\n",
+    "# max_fat_row = df.loc[fat_burn_max_idx]\n",
+    "# print(f\"Maximum Fat Burning Point:\")\n",
+    "# print(f\"Time: {max_fat_row['T(sec)']} seconds\")\n",
+    "# print(f\"Fat burn rate: {max_fat_row['FAT_smoothed']:.3f} kcal/min\")\n",
+    "# print(f\"Carb burn rate: {max_fat_row['CHO_smoothed']:.3f} kcal/min\")\n",
+    "# print(f\"Heart Rate: {max_fat_row['HR(bpm)_smoothed']:.1f} bpm\")\n",
+    "# print(f\"VO2: {max_fat_row['VO2(ml/min)_smoothed']:.1f} ml/min\")\n",
+    "\n",
+    "# print(\"\\n\" + \"=\"*50)\n",
+    "\n",
+    "# # Get the data at minimum carb burning point\n",
+    "# min_carb_row = df.loc[carb_burn_min_idx]\n",
+    "# print(f\"Minimum Carbohydrate Burning Point:\")\n",
+    "# print(f\"Time: {min_carb_row['T(sec)']} seconds\")\n",
+    "# print(f\"Fat burn rate: {min_carb_row['FAT_smoothed']:.3f} kcal/min\")\n",
+    "# print(f\"Carb burn rate: {min_carb_row['CHO_smoothed']:.3f} kcal/min\")\n",
+    "# print(f\"Heart Rate: {min_carb_row['HR(bpm)_smoothed']:.1f} bpm\")\n",
+    "# print(f\"VO2: {min_carb_row['VO2(ml/min)_smoothed']:.1f} ml/min\")\n",
+    "\n",
+    "print(\"\\n\" + \"=\"*50)\n",
+    "\n",
+    "# Find the optimal fat burning zone (highest fat:carb ratio)\n",
+    "df['fat_carb_ratio'] = df['FAT_smoothed'] / (df['CHO_smoothed'] + 0.00000001)  # Add small value to avoid division by zero\n",
+    "optimal_fat_idx = df['fat_carb_ratio'].idxmax()\n",
+    "optimal_row = df.loc[optimal_fat_idx]\n",
+    "\n",
+    "print(\"Optimal Fat Burning Zone (highest fat:carb ratio):\")\n",
+    "print(f\"Time: {optimal_row['T(sec)']} seconds\")\n",
+    "print(f\"Fat burn rate: {optimal_row['FAT_smoothed']:.3f} kcal/min\")\n",
+    "print(f\"Carb burn rate: {optimal_row['CHO_smoothed']:.3f} kcal/min\")\n",
+    "print(f\"Fat:Carb ratio: {optimal_row['fat_carb_ratio']:.2f}\")\n",
+    "print(f\"Heart Rate: {optimal_row['HR(bpm)_smoothed']:.1f} bpm\")\n",
+    "print(f\"VO2: {optimal_row['VO2(ml/min)_smoothed']:.1f} ml/min\")\n",
+    "\n",
+    "def detect_vt1(df, fat_col=\"FAT_smoothed\", carb_col=\"CHO_smoothed\"):\n",
+    "    \"\"\"\n",
+    "    Detect VT1 as the first index where carb burn > fat burn and remains higher.\n",
+    "    \"\"\"\n",
+    "    condition = df[carb_col] > df[fat_col]\n",
+    "    crossover_indices = condition[condition].index\n",
+    "\n",
+    "    if len(crossover_indices) == 0:\n",
+    "        return None  # No crossover found\n",
+    "    \n",
+    "    # Find first crossover where carbs remain higher for the rest\n",
+    "    for idx in crossover_indices:\n",
+    "        if all(df.loc[idx:][carb_col] > df.loc[idx:][fat_col]):\n",
+    "            return idx\n",
+    "    return None\n",
+    "\n",
+    "\n",
+    "def detect_vt2(df, vent_col=\"VE(l/min)_smoothed\", bf_col=\"BF(bpm)_smoothed\", smooth_window=5):\n",
+    "    \"\"\"\n",
+    "    Detect VT2 using slope/inflection method.\n",
+    "    Works with either Ventilation (VE) or Breathing Frequency (Bf).\n",
+    "    \"\"\"\n",
+    "    col = vent_col if vent_col in df.columns else bf_col\n",
+    "    \n",
+    "    # Use already smoothed data\n",
+    "    smoothed_col = col\n",
+    "    \n",
+    "    # Compute slope (first derivative)\n",
+    "    df[\"slope\"] = df[smoothed_col].diff()\n",
+    "    \n",
+    "    # Detect inflection: largest change in slope (second derivative peak)\n",
+    "    df[\"second_derivative\"] = df[\"slope\"].diff()\n",
+    "    inflection_idx = df[\"second_derivative\"].idxmax()\n",
+    "    \n",
+    "    return inflection_idx\n",
+    "\n",
+    "\n",
+    "def analyze_thresholds(df_input):\n",
+    "    # Use the existing dataframe\n",
+    "    df_copy = df_input.copy()\n",
+    "    \n",
+    "    # --- Detect VT1 ---\n",
+    "    vt1_idx = detect_vt1(df_copy)\n",
+    "    vt1 = None\n",
+    "    if vt1_idx is not None:\n",
+    "        vt1 = {\n",
+    "            \"HeartRate\": df_copy.loc[vt1_idx, \"HR(bpm)_smoothed\"],\n",
+    "            \"Speed\": df_copy.loc[vt1_idx, \"Speed\"],\n",
+    "            \"Time\": df_copy.loc[vt1_idx, \"T(sec)\"]\n",
+    "        }\n",
+    "    \n",
+    "    # --- Detect VT2 ---\n",
+    "    vt2_idx = detect_vt2(df_copy)\n",
+    "    vt2 = None\n",
+    "    if vt2_idx is not None:\n",
+    "        vt2 = {\n",
+    "            \"HeartRate\": df_copy.loc[vt2_idx, \"HR(bpm)_smoothed\"],\n",
+    "            \"Speed\": df_copy.loc[vt2_idx, \"Speed\"],\n",
+    "            \"Time\": df_copy.loc[vt2_idx, \"T(sec)\"]\n",
+    "        }\n",
+    "    \n",
+    "    return vt1, vt2\n",
+    "\n",
+    "\n",
+    "vt1, vt2 = analyze_thresholds(df)\n",
+    "print(\"VT1:\", vt1)\n",
+    "print(\"VT2:\", vt2)\n",
+    "zone_1_start = optimal_row['HR(bpm)_smoothed'] - 15\n",
+    "zone_2_start = optimal_row['HR(bpm)_smoothed']\n",
+    "zone_3_start = vt1\n",
+    "zone_4_start = vt2['HeartRate'] - 10\n",
+    "zone_5_start = vt2['HeartRate']\n",
+    "zone_5_end = vt2['HeartRate'] + 10\n",
+    "\n",
+    "zone_1_end = zone_2_start\n",
+    "zone_2_end = vt1['HeartRate']\n",
+    "zone_3_end = zone_4_start\n",
+    "zone_4_end = zone_5_start\n",
+    "\n",
+    "print(f\"Zone 1 (Active Recovery): {zone_1_start:.1f} - {zone_1_end:.1f} bpm\")\n",
+    "print(f\"Zone 2 (Aerobic Base): {zone_2_start:.1f} - {zone_2_end:.1f} bpm\")\n",
+    "print(f\"Zone 3 (Aerobic): {zone_3_start['HeartRate']:.1f} - {zone_3_end:.1f} bpm\")\n",
+    "print(f\"Zone 4 (Lactate Threshold): {zone_4_start:.1f} - {zone_4_end:.1f} bpm\")\n",
+    "print(f\"Zone 5 (VO2 Max): {zone_5_start:.1f} - {zone_5_end:.1f} bpm\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "f324fe94",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define the fixed rows\n",
+    "descriptions = [\n",
+    "    \"Improves health and\\nrecovery capacity\",\n",
+    "    \"Improves endurance\\nand fat burning\",\n",
+    "    \"Improves Aerobic\\nfitness\",\n",
+    "    \"Improves maximum\\nperformance capacity\",\n",
+    "    \"Develops maximum\\nperformance and speed\"\n",
+    "]\n",
+    "\n",
+    "hr_percentages = [\n",
+    "    \"55-65% of Max Heart Rate\",\n",
+    "    \"65-75% of Max Heart Rate\",\n",
+    "    \"80-85% of Max Heart Rate\",\n",
+    "    \"85-88% of Max Heart Rate\",\n",
+    "    \"90% of Max Heart Rate\"\n",
+    "]\n",
+    "\n",
+    "# Define the zones for iteration\n",
+    "# Note: zone_3_start is a dictionary (vt1), others are floats\n",
+    "zones_list = [\n",
+    "    (\"Zone 1\", zone_1_start, zone_1_end),\n",
+    "    (\"Zone 2\", zone_2_start, zone_2_end),\n",
+    "    (\"Zone 3\", zone_3_start['HeartRate'], zone_3_end),\n",
+    "    (\"Zone 4\", zone_4_start, zone_4_end),\n",
+    "    (\"Zone 5\", zone_5_start, zone_5_end)\n",
+    "]\n",
+    "\n",
+    "# Calculate metrics for each zone\n",
+    "zone_metrics = {\n",
+    "    \"HR BPM\": [],\n",
+    "    \"Speed\": [],\n",
+    "    \"Pace\": [],\n",
+    "    \"Calories\": [],\n",
+    "    \"Carb Utilization\": [],\n",
+    "    \"Breathing\": []\n",
+    "}\n",
+    "\n",
+    "for name, start, end in zones_list:\n",
+    "    # Filter dataframe for the current zone\n",
+    "    mask = (df['HR(bpm)_smoothed'] >= start) & (df['HR(bpm)_smoothed'] <= end)\n",
+    "    zone_df = df[mask]\n",
+    "    \n",
+    "    # HR BPM Range\n",
+    "    zone_metrics[\"HR BPM\"].append(f\"{int(start)}-{int(end)} bpm\")\n",
+    "    \n",
+    "    if not zone_df.empty:\n",
+    "        # Speed (assuming column 'Speed' exists)\n",
+    "        # Check unit: if values are small (<10), might be mph or km/h walking.\n",
+    "        # We'll assume the unit in df matches the desired output or label it.\n",
+    "        avg_speed = zone_df['Speed'].mean()\n",
+    "        zone_metrics[\"Speed\"].append(f\"{avg_speed:.1f} mph\") # Labeling as mph based on template\n",
+    "        \n",
+    "        # Pace (min/km or min/mile)\n",
+    "        # Template says \"min/km Pace\".\n",
+    "        # If Speed is mph, convert to km/h first: mph * 1.60934\n",
+    "        speed_kmh = avg_speed * 1.60934\n",
+    "        if speed_kmh > 0:\n",
+    "            pace_min = 60 / speed_kmh\n",
+    "            pace_sec = (pace_min % 1) * 60\n",
+    "            zone_metrics[\"Pace\"].append(f\"{int(pace_min)}:{int(pace_sec):02d} min/km\")\n",
+    "        else:\n",
+    "            zone_metrics[\"Pace\"].append(\"-\")\n",
+    "            \n",
+    "        # Calories (FAT + CHO)\n",
+    "        # Assuming FAT_smoothed and CHO_smoothed are in kcal/min\n",
+    "        avg_cals = (zone_df['FAT_smoothed'] + zone_df['CHO_smoothed']).mean()\n",
+    "        zone_metrics[\"Calories\"].append(f\"{avg_cals:.1f} kcals/min\")\n",
+    "        \n",
+    "        # Carb Utilization (g/min)\n",
+    "        # 1g Carb = 4 kcal\n",
+    "        avg_carbs_g = zone_df['CHO_smoothed'].mean() / 4\n",
+    "        zone_metrics[\"Carb Utilization\"].append(f\"{avg_carbs_g:.1f} g/min\")\n",
+    "        \n",
+    "        # Breathing (BF)\n",
+    "        avg_breaths = zone_df['BF(bpm)_smoothed'].mean()\n",
+    "        zone_metrics[\"Breathing\"].append(f\"{int(avg_breaths)} breaths\")\n",
+    "        \n",
+    "    else:\n",
+    "        zone_metrics[\"Speed\"].append(\"-\")\n",
+    "        zone_metrics[\"Pace\"].append(\"-\")\n",
+    "        zone_metrics[\"Calories\"].append(\"-\")\n",
+    "        zone_metrics[\"Carb Utilization\"].append(\"-\")\n",
+    "        zone_metrics[\"Breathing\"].append(\"-\")\n",
+    "\n",
+    "# Prepare data for the table\n",
+    "# Rows: Description, HR %, HR BPM, Speed, Pace, Calories, Carb Utilization, Breathing\n",
+    "table_data = []\n",
+    "table_data.append(descriptions)\n",
+    "table_data.append(hr_percentages)\n",
+    "table_data.append(zone_metrics[\"HR BPM\"])\n",
+    "table_data.append(zone_metrics[\"Speed\"])\n",
+    "table_data.append(zone_metrics[\"Pace\"])\n",
+    "table_data.append(zone_metrics[\"Calories\"])\n",
+    "table_data.append(zone_metrics[\"Carb Utilization\"])\n",
+    "table_data.append(zone_metrics[\"Breathing\"])\n",
+    "\n",
+    "row_labels = [\n",
+    "    \"Description\",\n",
+    "    \"HR %\",\n",
+    "    \"HR BPM\",\n",
+    "    \"Speed\",\n",
+    "    \"Pace\",\n",
+    "    \"Calories\",\n",
+    "    \"Carb Utilization\",\n",
+    "    \"Breathing\"\n",
+    "]\n",
+    "\n",
+    "col_labels = [\"Zone 1\", \"Zone 2\", \"Zone 3\", \"Zone 4\", \"Zone 5\"]\n",
+    "\n",
+    "# Create the table plot\n",
+    "fig, ax = plt.subplots(figsize=(16, 10))\n",
+    "ax.axis('off')\n",
+    "\n",
+    "table = ax.table(cellText=table_data,\n",
+    "                 rowLabels=row_labels,\n",
+    "                 colLabels=col_labels,\n",
+    "                 loc='center',\n",
+    "                 cellLoc='center')\n",
+    "\n",
+    "table.auto_set_font_size(False)\n",
+    "table.set_fontsize(10)\n",
+    "table.scale(1, 2.5)\n",
+    "\n",
+    "# Styling\n",
+    "# Header row\n",
+    "for j, label in enumerate(col_labels):\n",
+    "    cell = table[(0, j)]\n",
+    "    cell.set_facecolor('#7dd3fc') # cyan-300\n",
+    "    cell.set_text_props(weight='bold')\n",
+    "\n",
+    "# Row specific styling\n",
+    "# Colors from template:\n",
+    "# Zone 1, 2: Red-200 (#fecaca)\n",
+    "# Zone 3: Yellow-200 (#fef08a)\n",
+    "# Zone 4, 5: Green-200 (#bbf7d0)\n",
+    "\n",
+    "colors = ['#fecaca', '#fecaca', '#fef08a', '#bbf7d0', '#bbf7d0']\n",
+    "\n",
+    "for j in range(len(col_labels)):\n",
+    "    # HR BPM row is at index 3 (0-based in data) -> row 3 in table (1-based? No, 0 is header, 1 is first row)\n",
+    "    # Table keys are (row, col). Row 0 is header. Row 1 is Description. Row 2 is HR %. Row 3 is HR BPM.\n",
+    "    cell = table[(3, j)] \n",
+    "    cell.set_facecolor(colors[j])\n",
+    "    cell.set_text_props(weight='bold')\n",
+    "    \n",
+    "    # Breathing row is at index 7 -> row 8 in table\n",
+    "    cell = table[(8, j)]\n",
+    "    cell.set_facecolor(colors[j])\n",
+    "    cell.set_text_props(weight='bold')\n",
+    "\n",
+    "plt.title(\"Personalized Heart Rate Zones\", fontsize=16, fontweight='bold', pad=20)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c00c366",
+   "metadata": {},
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "report-generation",
    "language": "python",
    "name": "python3"
   },