Battle of Neighborhoods
Krish Gangwar
New Delhi, Delhi
- 0 Collaborators
This project involves exploratory Neighbourhood analysis of New Delhi. The city is segmented using K clustering algorithm and top venues for each neighbourhood are identified. ...learn more
Project status: Under Development
Groups
Student Developers for AI
Intel Technologies
Intel Integrated Graphics,
Intel Python
Overview / Usage
The remarkable Indian Capital was architecturally designed by the British
architect Edwin Lutyens and was named after him. It has a pleasant contrast to
the twisted streets of Old Delhi. Enriched with history and culture, the
impressive avenues and imperial buildings of New Delhi are included in the list
of attractions.
Various shopping malls and local markets are there for the locals and the
visitors, providing them a wide option to shop in the city. Other options of
entertainment are also available in the city such as discs, cafes, cinema halls.
Wide options for eating out in the city are there as the capital city houses
numerous eating outlets and restaurants serving relishing and traditional
cuisines.
Delhi is well connected with the neighbouring regions and other major cities of
India through all modes of transport such as airways, railways and roadways.
The traffic of New Delhi remains busy and chaotic because of increased
population and vehicles. One needs to negotiate on fare for taxis and autos
while hiring to travel within the city. One can also opt for the safest,
convenient and quickest mode of transport - the Metro Rail to travel across the
city and to its nearby regions.
Through this project I will explore this beautiful city so that the new comers
can decide which area/neighbourhood they would want to stay in or figure out
the best places to eat or shop during their stay.
Methodology / Approach
Foursquare API was used to get the most common venues of given
community of Delhi.
• Python folium library was used to visualize geographic details of Delhi
and its places and I created a map of Delhi a