Battle of Neighborhoods

Krish Gangwar

Krish Gangwar

New Delhi, Delhi

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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

HPC, Networking

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

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