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    "#  Introduction/Business Problem \n",
    "Bangalore, one of the major cities in India is also known as the Silicon Valley of India or the software capital. Given its stature, there are a large number of people who relocate to Bangalore for work from other parts of India and the world. It is also an education hub where large number of students come over to study in the various reputed colleges and universities in Bangalore\n",
    "\n",
    "This project aims to provide useful relevant information to them in order to make an informed decision on which locality would be ideal for them to stay in Bangalore.\n",
    "\n",
    "The target audience will therefore be professionals, businessmen/women, students relocating to Bangalore and looking to shortlist potential neighborhoods in Bangalore based on the following criteria:\n",
    "\n",
    "Apartment size,\\\n",
    "Rentals in the area\\\n",
    "Availability of schools nearby\\\n",
    "Restaurants nearby\\\n",
    "Places for shopping, entertainment nearby.\n"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "# Data Section\n",
    "The data which will be used are :\\\n",
    "Prime office locations, \\\n",
    "Restaurants location and ratings,\\\n",
    "Places of entertainment,\\\n",
    "Shopping options,\\\n",
    "Schools in the neighborhood,\\\n",
    "Proximity to Airport, Railway station, bus stands etc.\n"
   ]
  },
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   "metadata": {},
   "source": [
    "# Methodology to be adopted\n",
    "\n",
    "Use Foursquare data to map top 10 venues for all Bangalore neighborhoods and clustered in groups\\\n",
    "Use foursquare data to map the location of  bus and train stations \\\n",
    "Use Foursquare and geopy data to map the location of rental places, schools, restaurants etc\\\n",
    "\n",
    "Users will be able to review each cluster based on their preferences and then zero in on their preferred neighborhood and then looks for rental options in that neighborhood.\n"
   ]
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