locate-nearhospitals.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f57f0d2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>objectid</th>\n",
       "      <th>health_facility_name</th>\n",
       "      <th>address</th>\n",
       "      <th>street</th>\n",
       "      <th>landmark</th>\n",
       "      <th>locality</th>\n",
       "      <th>posatalcode</th>\n",
       "      <th>landline_number</th>\n",
       "      <th>facility_type</th>\n",
       "      <th>state_name</th>\n",
       "      <th>district_name</th>\n",
       "      <th>taluka_name</th>\n",
       "      <th>block_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>altitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78.564177</td>\n",
       "      <td>12.492635</td>\n",
       "      <td>1</td>\n",
       "      <td>THIRUPATHUR UPHC</td>\n",
       "      <td>1 THIRUPATHUR UPHC</td>\n",
       "      <td>Chairman Laxshmanan Street</td>\n",
       "      <td>Tirupattur Municipal Office, Opp. DDHS tirupattur</td>\n",
       "      <td>Govt.Gardan Road</td>\n",
       "      <td>635601.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Primary Health Centre</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Vellore</td>\n",
       "      <td>Tirupathur</td>\n",
       "      <td>Tirupattur MPTY</td>\n",
       "      <td>12.492635</td>\n",
       "      <td>78.564177</td>\n",
       "      <td>382.6100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>78.535451</td>\n",
       "      <td>12.266359</td>\n",
       "      <td>2</td>\n",
       "      <td>UTHANGARAI</td>\n",
       "      <td>Government Hospital, Uthangarai</td>\n",
       "      <td>Uthangarai</td>\n",
       "      <td>Near Roundana</td>\n",
       "      <td>Uthangarai</td>\n",
       "      <td>635207.0</td>\n",
       "      <td>04341-222043</td>\n",
       "      <td>Sub-District Hospital</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Krishnagiri</td>\n",
       "      <td>Uthangarai</td>\n",
       "      <td>Uthangarai</td>\n",
       "      <td>12.266359</td>\n",
       "      <td>78.535451</td>\n",
       "      <td>343.4900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78.511082</td>\n",
       "      <td>11.045766</td>\n",
       "      <td>3</td>\n",
       "      <td>JAYANTHI</td>\n",
       "      <td>NO. 16/4</td>\n",
       "      <td>GANTHI NAGAR</td>\n",
       "      <td>THRAIYUR ROAD, MUSIRI</td>\n",
       "      <td>THRAIYUR ROAD, MUSIRI</td>\n",
       "      <td>621211.0</td>\n",
       "      <td>04326 -260423</td>\n",
       "      <td>Others</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Tiruchirappalli</td>\n",
       "      <td>Musiri</td>\n",
       "      <td>Musiri</td>\n",
       "      <td>11.045766</td>\n",
       "      <td>78.511082</td>\n",
       "      <td>123.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>78.559638</td>\n",
       "      <td>11.193647</td>\n",
       "      <td>4</td>\n",
       "      <td>KUMARAN</td>\n",
       "      <td>NO. 120, TRICHY ROAD,TURAIYUR</td>\n",
       "      <td>TRICHY ROAD,TURAIYUR</td>\n",
       "      <td>TURAIYUR</td>\n",
       "      <td>TURAIYUR</td>\n",
       "      <td>621010.0</td>\n",
       "      <td>+(91)-4327-2222343,???ÿ2222313</td>\n",
       "      <td>Others</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Tiruchirappalli</td>\n",
       "      <td>Thuraiyur</td>\n",
       "      <td>Thuraiyur MPTY</td>\n",
       "      <td>11.193647</td>\n",
       "      <td>78.559638</td>\n",
       "      <td>154.3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78.526689</td>\n",
       "      <td>11.439301</td>\n",
       "      <td>5</td>\n",
       "      <td>Sendarapatti</td>\n",
       "      <td>HEALTH SUB CENTRE</td>\n",
       "      <td>AD STREET</td>\n",
       "      <td>PANCHAYAT OFFICE NEAR</td>\n",
       "      <td>SENDARAPATTY</td>\n",
       "      <td>636110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SubCentre</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Salem</td>\n",
       "      <td>Gangavalli</td>\n",
       "      <td>Gangavalli</td>\n",
       "      <td>11.439301</td>\n",
       "      <td>78.526689</td>\n",
       "      <td>284.5306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165106</th>\n",
       "      <td>76.465500</td>\n",
       "      <td>23.202200</td>\n",
       "      <td>165107</td>\n",
       "      <td>SHC Chakrod</td>\n",
       "      <td>NaN</td>\n",
       "      <td>kalapipal Road</td>\n",
       "      <td>Near Govt. high School</td>\n",
       "      <td>Chakrod</td>\n",
       "      <td>465333.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SubCentre</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Shajapur</td>\n",
       "      <td>Shujalpur</td>\n",
       "      <td>Shujalpur(Polaykalan)</td>\n",
       "      <td>23.202200</td>\n",
       "      <td>76.465500</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165107</th>\n",
       "      <td>78.916286</td>\n",
       "      <td>23.120122</td>\n",
       "      <td>165108</td>\n",
       "      <td>PHC Dobhi</td>\n",
       "      <td>PHC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Village Dobhi</td>\n",
       "      <td>Tahsil Tendukheda Distt Narsinghpur</td>\n",
       "      <td>487337.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Primary Health Centre</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Narsinghpur</td>\n",
       "      <td>Tendukheda</td>\n",
       "      <td>Chawarpatha</td>\n",
       "      <td>23.120122</td>\n",
       "      <td>78.916286</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165108</th>\n",
       "      <td>79.905277</td>\n",
       "      <td>23.202764</td>\n",
       "      <td>165109</td>\n",
       "      <td>SHC Karmeta</td>\n",
       "      <td>KARMETA</td>\n",
       "      <td>KARMETA</td>\n",
       "      <td>KARMETA</td>\n",
       "      <td>KARMETA</td>\n",
       "      <td>482001.0</td>\n",
       "      <td>9479883739</td>\n",
       "      <td>SubCentre</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Jabalpur</td>\n",
       "      <td>Panagar</td>\n",
       "      <td>Panagar</td>\n",
       "      <td>23.202764</td>\n",
       "      <td>79.905277</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165109</th>\n",
       "      <td>80.002659</td>\n",
       "      <td>23.120099</td>\n",
       "      <td>165110</td>\n",
       "      <td>SHC Umaria</td>\n",
       "      <td>NIL</td>\n",
       "      <td>Umaria kudari road</td>\n",
       "      <td>Hanumaan Mandir</td>\n",
       "      <td>Rural</td>\n",
       "      <td>483001.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SubCentre</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Jabalpur</td>\n",
       "      <td>Jabalpur</td>\n",
       "      <td>Jabalpur</td>\n",
       "      <td>23.120099</td>\n",
       "      <td>80.002659</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165110</th>\n",
       "      <td>76.903801</td>\n",
       "      <td>23.120802</td>\n",
       "      <td>165111</td>\n",
       "      <td>PHC Amlaha</td>\n",
       "      <td>PHC Amlaha</td>\n",
       "      <td>PHC Amlaha</td>\n",
       "      <td>Panchayat, School ke pass</td>\n",
       "      <td>PHC Amlaha</td>\n",
       "      <td>466115.0</td>\n",
       "      <td>7562265465</td>\n",
       "      <td>Primary Health Centre</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Sehore</td>\n",
       "      <td>Ichhawar</td>\n",
       "      <td>Ichhawar</td>\n",
       "      <td>23.120802</td>\n",
       "      <td>76.903801</td>\n",
       "      <td>680.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165111 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                X          Y  objectid health_facility_name  \\\n",
       "0       78.564177  12.492635         1     THIRUPATHUR UPHC   \n",
       "1       78.535451  12.266359         2           UTHANGARAI   \n",
       "2       78.511082  11.045766         3             JAYANTHI   \n",
       "3       78.559638  11.193647         4              KUMARAN   \n",
       "4       78.526689  11.439301         5         Sendarapatti   \n",
       "...           ...        ...       ...                  ...   \n",
       "165106  76.465500  23.202200    165107          SHC Chakrod   \n",
       "165107  78.916286  23.120122    165108            PHC Dobhi   \n",
       "165108  79.905277  23.202764    165109          SHC Karmeta   \n",
       "165109  80.002659  23.120099    165110           SHC Umaria   \n",
       "165110  76.903801  23.120802    165111           PHC Amlaha   \n",
       "\n",
       "                                address                      street  \\\n",
       "0                    1 THIRUPATHUR UPHC  Chairman Laxshmanan Street   \n",
       "1       Government Hospital, Uthangarai                  Uthangarai   \n",
       "2                              NO. 16/4                GANTHI NAGAR   \n",
       "3         NO. 120, TRICHY ROAD,TURAIYUR        TRICHY ROAD,TURAIYUR   \n",
       "4                     HEALTH SUB CENTRE                   AD STREET   \n",
       "...                                 ...                         ...   \n",
       "165106                              NaN              kalapipal Road   \n",
       "165107                              PHC                         NaN   \n",
       "165108                          KARMETA                     KARMETA   \n",
       "165109                              NIL          Umaria kudari road   \n",
       "165110                       PHC Amlaha                  PHC Amlaha   \n",
       "\n",
       "                                                 landmark  \\\n",
       "0       Tirupattur Municipal Office, Opp. DDHS tirupattur   \n",
       "1                                           Near Roundana   \n",
       "2                                   THRAIYUR ROAD, MUSIRI   \n",
       "3                                                TURAIYUR   \n",
       "4                                   PANCHAYAT OFFICE NEAR   \n",
       "...                                                   ...   \n",
       "165106                             Near Govt. high School   \n",
       "165107                                      Village Dobhi   \n",
       "165108                                            KARMETA   \n",
       "165109                                    Hanumaan Mandir   \n",
       "165110                          Panchayat, School ke pass   \n",
       "\n",
       "                                   locality  posatalcode  \\\n",
       "0                          Govt.Gardan Road     635601.0   \n",
       "1                                Uthangarai     635207.0   \n",
       "2                     THRAIYUR ROAD, MUSIRI     621211.0   \n",
       "3                                  TURAIYUR     621010.0   \n",
       "4                              SENDARAPATTY     636110.0   \n",
       "...                                     ...          ...   \n",
       "165106                              Chakrod     465333.0   \n",
       "165107  Tahsil Tendukheda Distt Narsinghpur     487337.0   \n",
       "165108                              KARMETA     482001.0   \n",
       "165109                                Rural     483001.0   \n",
       "165110                           PHC Amlaha     466115.0   \n",
       "\n",
       "                       landline_number          facility_type      state_name  \\\n",
       "0                                  NaN  Primary Health Centre      Tamil Nadu   \n",
       "1                         04341-222043  Sub-District Hospital      Tamil Nadu   \n",
       "2                        04326 -260423                 Others      Tamil Nadu   \n",
       "3       +(91)-4327-2222343,???ÿ2222313                 Others      Tamil Nadu   \n",
       "4                                  NaN              SubCentre      Tamil Nadu   \n",
       "...                                ...                    ...             ...   \n",
       "165106                             NaN              SubCentre  Madhya Pradesh   \n",
       "165107                             NaN  Primary Health Centre  Madhya Pradesh   \n",
       "165108                      9479883739              SubCentre  Madhya Pradesh   \n",
       "165109                             NaN              SubCentre  Madhya Pradesh   \n",
       "165110                      7562265465  Primary Health Centre  Madhya Pradesh   \n",
       "\n",
       "          district_name taluka_name             block_name        lat  \\\n",
       "0               Vellore  Tirupathur        Tirupattur MPTY  12.492635   \n",
       "1           Krishnagiri  Uthangarai             Uthangarai  12.266359   \n",
       "2       Tiruchirappalli      Musiri                 Musiri  11.045766   \n",
       "3       Tiruchirappalli   Thuraiyur         Thuraiyur MPTY  11.193647   \n",
       "4                 Salem  Gangavalli             Gangavalli  11.439301   \n",
       "...                 ...         ...                    ...        ...   \n",
       "165106         Shajapur   Shujalpur  Shujalpur(Polaykalan)  23.202200   \n",
       "165107      Narsinghpur  Tendukheda            Chawarpatha  23.120122   \n",
       "165108         Jabalpur     Panagar                Panagar  23.202764   \n",
       "165109         Jabalpur    Jabalpur               Jabalpur  23.120099   \n",
       "165110           Sehore    Ichhawar               Ichhawar  23.120802   \n",
       "\n",
       "              lon  altitude  \n",
       "0       78.564177  382.6100  \n",
       "1       78.535451  343.4900  \n",
       "2       78.511082  123.5000  \n",
       "3       78.559638  154.3000  \n",
       "4       78.526689  284.5306  \n",
       "...           ...       ...  \n",
       "165106  76.465500    0.0000  \n",
       "165107  78.916286    0.0000  \n",
       "165108  79.905277    0.0000  \n",
       "165109  80.002659    0.0000  \n",
       "165110  76.903801  680.0000  \n",
       "\n",
       "[165111 rows x 18 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "hospital_data = pd.read_csv(r\"E:datasets\\Hospital_Directory.csv\")\n",
    "hospital_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c2b3e84f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#get lat long using location name\n",
    "\n",
    "from geopy.geocoders import Nominatim\n",
    "def getlatlong(location_str):\n",
    "    # Create a Nominatim geocoder object\n",
    "    geolocator = Nominatim(user_agent=\"http\")\n",
    "\n",
    "    # Use geocoder to convert location string to latitude and longitude\n",
    "    location = geolocator.geocode(location_str)\n",
    "\n",
    "\n",
    "    if location is not None:\n",
    "        latitude = location.latitude\n",
    "        longitude = location.longitude\n",
    "        latitude=float(latitude)\n",
    "        longitude=float(longitude)\n",
    "    else:\n",
    "        latitude,longitude=None,None\n",
    "        \n",
    "    return latitude,longitude\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bd469d3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#get users current location\n",
    "\n",
    "import geocoder\n",
    "\n",
    "def get_live_location():\n",
    "    g = geocoder.ip('me')\n",
    "    return g.latlng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "115ce25b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculate road distance between two locations\n",
    "\n",
    "from geopy.distance import geodesic\n",
    "\n",
    "def calculate_road_distance(lat1, lon1, lat2, lon2):\n",
    "    # Coordinates of the two locations\n",
    "    location1 = (lat1, lon1)\n",
    "    location2 = (lat2, lon2)\n",
    "    \n",
    "    # Calculate the road distance between the two locations using geodesic distance\n",
    "    distance = geodesic(location1, location2).kilometers\n",
    "    \n",
    "    return distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9fc06834",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "enter 1 -to give your current location \n",
      " enter 2 -to type your location: 1\n",
      "Latitude: 17.384\n",
      "Longitude: 78.4564\n"
     ]
    }
   ],
   "source": [
    "#get users location\n",
    "\n",
    "while True:\n",
    "    a=int(input(\"enter 1 -to give your current location \\n enter 2 -to type your location: \"))\n",
    "    if(a==1):\n",
    "        latitude, longitude = get_live_location()\n",
    "        print(\"Latitude:\", latitude)\n",
    "        print(\"Longitude:\", longitude)\n",
    "        break\n",
    "    elif(a==2):\n",
    "        a=input(\"enter location:\")\n",
    "        t=getlatlong(a)\n",
    "        latitude=t[0]\n",
    "        longitude=t[1]\n",
    "        print(\"Latitude:\", latitude)\n",
    "        print(\"Longitude:\", longitude)\n",
    "        break\n",
    "    else:\n",
    "        print(\"choose correct option\")\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4d5b0b47",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no. of nearest hospitals u want:6\n"
     ]
    }
   ],
   "source": [
    "n=int(input(\"no. of nearest hospitals u want:\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "64946795",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nearest Hospitals:\n",
      "Urban Primary Health Centre, Afzal Sagar - Distance: 0.41243249227684 km - (lat: 17.3860234, ;long: 78.4596592)\n",
      "Urban Primary Health Centre, Kummarwadi - Distance: 0.513729215368323 km - (lat: 17.3871135, ;long: 78.4528144)\n",
      "MNJ Institute of Oncology and Regional Cancer Center - Distance: 0.9976561839445546 km - (lat: 17.39224327, ;long: 78.46019939)\n",
      "Urban Primary Health Centre, Aghapura - Distance: 0.9796985612036072 km - (lat: 17.38816, ;long: 78.4645379)\n",
      "Area Hospital, Nampally - Distance: 1.1726493532437248 km - (lat: 17.3922731, ;long: 78.4632945)\n",
      "Urban Primary Health Centre, Nampally - Distance: 1.1726493532437248 km - (lat: 17.3922731, ;long: 78.4632945)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import NearestNeighbors\n",
    "\n",
    "\n",
    "\n",
    "X = hospital_data[['lat', 'lon']].values\n",
    "nbrs = NearestNeighbors(n_neighbors=n, algorithm='ball_tree').fit(X)\n",
    "\n",
    "\n",
    "def suggest_nearest_hospitals(user_latitude, user_longitude):\n",
    "\n",
    "    # Find the indices of the nearest hospitals based on the user's location\n",
    "    distances, indices = nbrs.kneighbors([[user_latitude, user_longitude]])\n",
    "    \n",
    "    nearest_hospitals = []\n",
    "    for index in indices[0]:\n",
    "        hospital_name = hospital_data.loc[index, \"health_facility_name\"]\n",
    "        hospital_latitude = hospital_data.loc[index, \"lat\"]\n",
    "        hospital_longitude = hospital_data.loc[index, \"lon\"]\n",
    "        hospital_distance = calculate_road_distance(user_latitude,user_longitude, hospital_latitude, hospital_longitude)\n",
    "        nearest_hospitals.append((hospital_name, hospital_distance, hospital_latitude, hospital_longitude))\n",
    "    \n",
    "    return nearest_hospitals\n",
    "\n",
    "\n",
    "# Suggest nearest hospitals if the location is within India\n",
    "nearest_hospitals = []\n",
    "#giving user lat-long to ml model\n",
    "nearest_hospitals = suggest_nearest_hospitals(latitude, longitude)\n",
    "\n",
    "# Print the results if there are nearest hospitals\n",
    "if nearest_hospitals:\n",
    "    print(\"Nearest Hospitals:\")\n",
    "    for hospital in nearest_hospitals:\n",
    "        print(f\"{hospital[0]} - Distance: {hospital[1]} km - (lat: {hospital[2]}, ;long: {hospital[3]})\")\n",
    "else:\n",
    "    print(\"No nearest hospitals to display.\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1c64f8a1",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "        \n",
       "            \n",
       "                var html_49253bf31a69e97f3b373cfa4d51ddba = $(`&lt;div id=&quot;html_49253bf31a69e97f3b373cfa4d51ddba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Your Location&lt;/div&gt;`)[0];\n",
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       "        marker_c5af4b454fb11e28f47da625ddc25ceb.bindPopup(popup_25d4dbd00f4ec724ec2b845ca0e3f499)\n",
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       "\n",
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       "    \n",
       "            var marker_ca5838499eabaf462f6b9628c97d9a39 = L.marker(\n",
       "                [17.3860234, 78.4596592],\n",
       "                {}\n",
       "            ).addTo(map_f3a9a4ba8f41e9778e0cb510104cf8d1);\n",
       "        \n",
       "    \n",
       "            var icon_2c691aa6d18d2e9404a0c7e3b4b2c9f2 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_ca5838499eabaf462f6b9628c97d9a39.setIcon(icon_2c691aa6d18d2e9404a0c7e3b4b2c9f2);\n",
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       "            \n",
       "        \n",
       "\n",
       "        marker_ca5838499eabaf462f6b9628c97d9a39.bindPopup(popup_9a0b140e0683a616f6dda001f16eb8ae)\n",
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       "        \n",
       "    \n",
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       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
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       "            \n",
       "        \n",
       "\n",
       "        marker_4d38a6d5721ddc41e2e332bb577e9c96.bindPopup(popup_8ba8038095ccab8507c5cdcda1fabd93)\n",
       "        ;\n",
       "\n",
       "        \n",
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       "    \n",
       "            var marker_541151d0ce5c78f0b2e90d70432422c1 = L.marker(\n",
       "                [17.39224327, 78.46019939],\n",
       "                {}\n",
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       "        \n",
       "    \n",
       "            var icon_3b9dd9434a4e398f72f34b4d1ec478f5 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_541151d0ce5c78f0b2e90d70432422c1.setIcon(icon_3b9dd9434a4e398f72f34b4d1ec478f5);\n",
       "        \n",
       "    \n",
       "        var popup_4dd90b33c43e1e5ac937a9cae828bcdd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_4c1d6957bb845e5840a6f40f69a43058 = $(`&lt;div id=&quot;html_4c1d6957bb845e5840a6f40f69a43058&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;MNJ Institute of Oncology and Regional Cancer Center - Distance: 0.9976561839445546 km - lat: 17.39224327, ;long: 78.46019939&lt;/div&gt;`)[0];\n",
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       "            \n",
       "        \n",
       "\n",
       "        marker_541151d0ce5c78f0b2e90d70432422c1.bindPopup(popup_4dd90b33c43e1e5ac937a9cae828bcdd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_093d3104cca7ef11b853500857c99166 = L.marker(\n",
       "                [17.38816, 78.4645379],\n",
       "                {}\n",
       "            ).addTo(map_f3a9a4ba8f41e9778e0cb510104cf8d1);\n",
       "        \n",
       "    \n",
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       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_093d3104cca7ef11b853500857c99166.setIcon(icon_e5e2509920669d2743082d993338f0b5);\n",
       "        \n",
       "    \n",
       "        var popup_0fd31a3b51b2409546c710ed4c43a894 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_69defb0c98c82a4d889abc01b3753e3e = $(`&lt;div id=&quot;html_69defb0c98c82a4d889abc01b3753e3e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Urban Primary Health Centre, Aghapura - Distance: 0.9796985612036072 km - lat: 17.38816, ;long: 78.4645379&lt;/div&gt;`)[0];\n",
       "                popup_0fd31a3b51b2409546c710ed4c43a894.setContent(html_69defb0c98c82a4d889abc01b3753e3e);\n",
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       "\n",
       "        marker_093d3104cca7ef11b853500857c99166.bindPopup(popup_0fd31a3b51b2409546c710ed4c43a894)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1ebb4c9f1eb348092510fd32f55c148b = L.marker(\n",
       "                [17.3922731, 78.4632945],\n",
       "                {}\n",
       "            ).addTo(map_f3a9a4ba8f41e9778e0cb510104cf8d1);\n",
       "        \n",
       "    \n",
       "            var icon_439b29579d4416f5bc1584bcc8ce16ce = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
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       "        \n",
       "    \n",
       "        var popup_69d176d25d524f466b247df21541cecd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
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       "            \n",
       "        \n",
       "\n",
       "        marker_1ebb4c9f1eb348092510fd32f55c148b.bindPopup(popup_69d176d25d524f466b247df21541cecd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_265a4bf42008467a181158df5fc25067 = L.marker(\n",
       "                [17.3922731, 78.4632945],\n",
       "                {}\n",
       "            ).addTo(map_f3a9a4ba8f41e9778e0cb510104cf8d1);\n",
       "        \n",
       "    \n",
       "            var icon_0460297d0aacae266a69dad0aa360b31 = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_265a4bf42008467a181158df5fc25067.setIcon(icon_0460297d0aacae266a69dad0aa360b31);\n",
       "        \n",
       "    \n",
       "        var popup_26b9712ad398bb566d1f02507b2a146d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_6cc4dbd9a2c82c2e17447ddd6d45761c = $(`&lt;div id=&quot;html_6cc4dbd9a2c82c2e17447ddd6d45761c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Urban Primary Health Centre, Nampally - Distance: 1.1726493532437248 km - lat: 17.3922731, ;long: 78.4632945&lt;/div&gt;`)[0];\n",
       "                popup_26b9712ad398bb566d1f02507b2a146d.setContent(html_6cc4dbd9a2c82c2e17447ddd6d45761c);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_265a4bf42008467a181158df5fc25067.bindPopup(popup_26b9712ad398bb566d1f02507b2a146d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2388313b948>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a map centered around the user's location\n",
    "\n",
    "import folium\n",
    "\n",
    "map_center = (latitude, longitude)\n",
    "m = folium.Map(location=map_center, zoom_start=12)\n",
    "\n",
    "# Mark the user's location on the map\n",
    "folium.Marker(\n",
    "    location=map_center,\n",
    "    popup=\"Your Location\",\n",
    "    icon=folium.Icon(color='blue')\n",
    ").add_to(m)\n",
    "\n",
    "# Mark the nearest hospitals on the map\n",
    "for hospital in nearest_hospitals:\n",
    "    hospital_name = hospital[0]\n",
    "    hospital_distance=hospital[1]\n",
    "    hospital_latitude = hospital[2]\n",
    "    hospital_longitude = hospital[3]\n",
    "    hospital_location = (hospital_latitude, hospital_longitude)\n",
    "\n",
    "    folium.Marker(\n",
    "        location=hospital_location,\n",
    "        popup=f\"{hospital_name} - Distance: {hospital[1]} km - lat: {hospital[2]}, ;long: {hospital[3]}\",\n",
    "        icon=folium.Icon(color='green', icon='info-sign')\n",
    "    ).add_to(m)\n",
    "\n",
    "# show on map\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2746bd1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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