SlideShare a Scribd company logo
1 of 10
Download to read offline
City Concierge V1.0
One Stop Destination to Know More About the Cities you Care About !!
(Powered by Open 311 and CitySDK APIs)
Final Round Presentation - 10th June 2014
© Srikanth Tamilselvam, Biplav Srivastava, Madhavan Pallan, Mitesh Vasa
App Instances
1.  http://bit.ly/Ukn1j9 (That is:
http://54.200.19.247:8080/CityChallenge/participate.html )
2.  http://citychallenge.ng.bluemix.net/participate.html
AIM: Serving People by Design
•  Target users
–  Citizens wanting to know more about their city
–  Travellers planning to visit new cities with memorable experiences
–  People (e.g., business, government) wanting to compare cities
•  Group information along a small set of easy-to-follow categories
–  We selected - Traffic, health, building, city image, others
–  Easy to change to any set of categories
•  Languages supported – English, Portuguese, Spanish, German
–  Easy to extend to any
Serving People by Design
•  Target users: Citizens, Travellers, People
Citizens, Travellers
Most events – Helsinki
Most open service requests - Lisbon
Check Services of Your
Favorite City – Chicago,
in example
Lisbon (in Portuguese)
Bonn(in German)
People, Travellers
Most city services – Lisbon; Traffic most common category in cities
Design Principles
•  Focus on features that promote usage of city data
–  Overcoming language barriers
–  Overcoming API and data diversity barriers
–  Highlight commonalities, promote comparison
•  Follow standards (Open 311, CitySDK APIs)
•  Overcome (City API) errors to stay useful
•  Be resource efficient to promote mobile apps
–  Standardize on output formats
Contacts
Name: City Concierge
App Creator:
Srikanth G Tamilselvam, Biplav Srivastava,
Madhavan Pallan, Mitesh H Vasa
Email address: sbiplav@in.ibm.com
Phone number: +91 11 4129 2100, +91 9810404142
Details Follow
Sales Pitch – City Concierge
In our application, we allow a person to know more about cities he lives in or wants to visit, provided the cities support
Open 311/ CitySDK data and API services. The user can use the information to compare cities based on events that
are happening, the services they support and the service requests they may have pending so that he can decide which
city he wants to visit and have a pleasant experience. Key points are:
•  Different cities may provide city service information in 10s to 100s of service types. The user, on the other hand,
would understand only a few generic categories. So, the application clusters the information about services (and
their definitions) along 5 high-level categories of health, traffic, building, city image and others that are easy to
follow and use for comparing cities.
•  Not all cities provide their information in English. The application can handle service information in English,
Portuguese, Spanish and German, and uses them for clustering. So, the user can look at the services more easily
even if they do not understand the service descriptions.
•  The user can look at the events at the different cities in a time range and decide his plans.
•  The user can look at the outstanding service requests at the different cities in a time range and decide his plans
based on likely experience he may have.
•  The application can be used to rank cities based on how vibrant they are and how resident-friendly they are using
data from the respective cities.
The service type information works for any city in the world supporting Open 311. So, apart from the cities in the
competition, we have tested with Bonn, Germany (German language) and US cities of Tucson, Chicago and Boston. In
principle, there is no limit for the cities that the backend can support due to the data standards.
Major issue we faced: A few cities in the competition do not support Open 311 fully. That is, they support querying for
service list but not on service definitions based on service code. This should be fixed. E.g., Lamia, Rome. To maintain
application quality, we have to restrict the cities we could support in the front-end.
Cluster Services of Given Cities’ Services
Along “Basic 5”
•  Focus on the right side module (Find distribution of city categories)
•  By default, we have result clusters for 3 cities, 2 of them part of
current city SDK end points
–  3rd from Europe
–  One can add any Open 311 supporting city to check
•  Select any city to find their services in various categories
•  Hover over them to find further information.
•  Note this might take some considerable time so please be patient
Find Events for a City
•  Module to help users to find events in cities for a duration with
awareness of the local issues
•  Select one more cities and specify the duration and select search
•  A table with city, number of events, total number of issues, number
of specific issues like health, traffic is displayed.
•  User can sort based on preference
•  User can drill on events and service requests and decide on theor
travel plans.
Many Enhancements are Easy
Showing events and open services on a
map is easy but has performance
implications. Hence omitted in first release.

More Related Content

Similar to City Concierge V1.0

Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013
Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013
Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013Katalin Gallyas
 
OASC Session ICT 2015
OASC Session ICT 2015OASC Session ICT 2015
OASC Session ICT 2015FIWARE
 
NFBPA Presentation 2013
NFBPA Presentation 2013NFBPA Presentation 2013
NFBPA Presentation 2013Bernice Butler
 
I coruña presentation
I coruña presentationI coruña presentation
I coruña presentationpgonzalp
 
TechHub Meetup: How tech is disrupting cities
TechHub Meetup: How tech is disrupting citiesTechHub Meetup: How tech is disrupting cities
TechHub Meetup: How tech is disrupting citiesTechHub Bucharest
 
Profiting From "Smart City" APIs
Profiting From "Smart City" APIsProfiting From "Smart City" APIs
Profiting From "Smart City" APIsProgrammableWeb
 
Future of Citizen Engagement & Asset Management with CitySourced and Cityworks
Future of Citizen Engagement & Asset Management with CitySourced and CityworksFuture of Citizen Engagement & Asset Management with CitySourced and Cityworks
Future of Citizen Engagement & Asset Management with CitySourced and Cityworksandrewkkirk
 
Step7_CreationBasicContents
Step7_CreationBasicContentsStep7_CreationBasicContents
Step7_CreationBasicContentsCarmen García
 
Public grievance redressal system
Public grievance redressal systemPublic grievance redressal system
Public grievance redressal systemCharles D'souza
 
IRJET- City Tour Traveller: Based on FourSquare API
IRJET- City Tour Traveller: Based on FourSquare APIIRJET- City Tour Traveller: Based on FourSquare API
IRJET- City Tour Traveller: Based on FourSquare APIIRJET Journal
 
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...Smart Cities - Measuring levels of supply and demand for e-services and e-gov...
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...Smart Cities Project
 
Smart People Smart City - An Android App
Smart People Smart City - An Android AppSmart People Smart City - An Android App
Smart People Smart City - An Android AppRonak Pani
 
2Meet - a mobile application for conferences and exhibitions
2Meet - a mobile application for conferences and exhibitions2Meet - a mobile application for conferences and exhibitions
2Meet - a mobile application for conferences and exhibitionsPavel Tokarev
 

Similar to City Concierge V1.0 (20)

Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013
Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013
Code4EU @Open Knowledge Foundation, OKFest Geneve 25 sept 2013
 
OASC Session ICT 2015
OASC Session ICT 2015OASC Session ICT 2015
OASC Session ICT 2015
 
NFBPA Presentation 2013
NFBPA Presentation 2013NFBPA Presentation 2013
NFBPA Presentation 2013
 
Open data Rome
Open data RomeOpen data Rome
Open data Rome
 
APA LA PPT
APA LA PPTAPA LA PPT
APA LA PPT
 
I coruña presentation
I coruña presentationI coruña presentation
I coruña presentation
 
TechHub Meetup: How tech is disrupting cities
TechHub Meetup: How tech is disrupting citiesTechHub Meetup: How tech is disrupting cities
TechHub Meetup: How tech is disrupting cities
 
Profiting From "Smart City" APIs
Profiting From "Smart City" APIsProfiting From "Smart City" APIs
Profiting From "Smart City" APIs
 
Future of Citizen Engagement & Asset Management with CitySourced and Cityworks
Future of Citizen Engagement & Asset Management with CitySourced and CityworksFuture of Citizen Engagement & Asset Management with CitySourced and Cityworks
Future of Citizen Engagement & Asset Management with CitySourced and Cityworks
 
Travel guide
Travel guideTravel guide
Travel guide
 
Step7_CreationBasicContents
Step7_CreationBasicContentsStep7_CreationBasicContents
Step7_CreationBasicContents
 
Public grievance redressal system
Public grievance redressal systemPublic grievance redressal system
Public grievance redressal system
 
Towards Ambient Assisted Cities and Citizens
Towards Ambient Assisted Cities and CitizensTowards Ambient Assisted Cities and Citizens
Towards Ambient Assisted Cities and Citizens
 
IRJET- City Tour Traveller: Based on FourSquare API
IRJET- City Tour Traveller: Based on FourSquare APIIRJET- City Tour Traveller: Based on FourSquare API
IRJET- City Tour Traveller: Based on FourSquare API
 
OpenСityCRM 2012
OpenСityCRM 2012OpenСityCRM 2012
OpenСityCRM 2012
 
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...Smart Cities - Measuring levels of supply and demand for e-services and e-gov...
Smart Cities - Measuring levels of supply and demand for e-services and e-gov...
 
Smart People Smart City - An Android App
Smart People Smart City - An Android AppSmart People Smart City - An Android App
Smart People Smart City - An Android App
 
Enterprise Geographic Information System (EGIS) Implementation Phase 3
Enterprise Geographic Information System (EGIS) Implementation Phase 3Enterprise Geographic Information System (EGIS) Implementation Phase 3
Enterprise Geographic Information System (EGIS) Implementation Phase 3
 
Smart Cities
Smart CitiesSmart Cities
Smart Cities
 
2Meet - a mobile application for conferences and exhibitions
2Meet - a mobile application for conferences and exhibitions2Meet - a mobile application for conferences and exhibitions
2Meet - a mobile application for conferences and exhibitions
 

More from Biplav Srivastava

Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...
Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...
Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...Biplav Srivastava
 
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAULTOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAULBiplav Srivastava
 
The Potential and Risks of Working With Conversation Agents
The Potential and Risks of Working With Conversation AgentsThe Potential and Risks of Working With Conversation Agents
The Potential and Risks of Working With Conversation AgentsBiplav Srivastava
 
Technology Based Social Entrepreneurship: Innovations That Matter
Technology Based Social Entrepreneurship: Innovations That MatterTechnology Based Social Entrepreneurship: Innovations That Matter
Technology Based Social Entrepreneurship: Innovations That MatterBiplav Srivastava
 
AI for Data-­Driven Decisions in Water Management
AI for Data-­Driven Decisions in Water ManagementAI for Data-­Driven Decisions in Water Management
AI for Data-­Driven Decisions in Water ManagementBiplav Srivastava
 
Summaries of Workshops held at IJCAI 2016 at New York in July
Summaries of Workshops held at IJCAI 2016 at New York in JulySummaries of Workshops held at IJCAI 2016 at New York in July
Summaries of Workshops held at IJCAI 2016 at New York in JulyBiplav Srivastava
 
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...Biplav Srivastava
 
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...Biplav Srivastava
 
Data View2016 Analytics Competition for Public Health Using Indian Open Data
Data View2016 Analytics Competition for Public Health Using Indian Open DataData View2016 Analytics Competition for Public Health Using Indian Open Data
Data View2016 Analytics Competition for Public Health Using Indian Open DataBiplav Srivastava
 
Open Data for Financial Innovations in the Developing World
Open Data for Financial Innovations in the Developing WorldOpen Data for Financial Innovations in the Developing World
Open Data for Financial Innovations in the Developing WorldBiplav Srivastava
 
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...Securing Intellectual Property – Why You Should Care and What Can You Do Abou...
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...Biplav Srivastava
 
Technological Challenges in Managing and Operating a Smart City: Planning for...
Technological Challenges in Managing and Operating a Smart City: Planning for...Technological Challenges in Managing and Operating a Smart City: Planning for...
Technological Challenges in Managing and Operating a Smart City: Planning for...Biplav Srivastava
 
Global Trends in Use of IT for Efficient Public Health Care
Global Trends in Use of IT for Efficient Public Health CareGlobal Trends in Use of IT for Efficient Public Health Care
Global Trends in Use of IT for Efficient Public Health CareBiplav Srivastava
 
AI for Smart City Innovations with Open Data (tutorial)
AI for Smart City Innovations with Open Data (tutorial)AI for Smart City Innovations with Open Data (tutorial)
AI for Smart City Innovations with Open Data (tutorial)Biplav Srivastava
 
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...Biplav Srivastava
 
Big, Open, Data and Semantics for Real-World Application Near You
Big, Open, Data and Semantics for Real-World Application Near YouBig, Open, Data and Semantics for Real-World Application Near You
Big, Open, Data and Semantics for Real-World Application Near YouBiplav Srivastava
 
Composing Web APIs – State of the art and mobile implications
Composing Web APIs – State of the art and mobile implicationsComposing Web APIs – State of the art and mobile implications
Composing Web APIs – State of the art and mobile implicationsBiplav Srivastava
 
Tutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementTutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementBiplav Srivastava
 
Tutorial on Taffic Management and AI
Tutorial on Taffic Management and AI Tutorial on Taffic Management and AI
Tutorial on Taffic Management and AI Biplav Srivastava
 

More from Biplav Srivastava (19)

Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...
Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...
Trusted Data Science via Testing and Rating Behavior of AI Services: Text and...
 
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAULTOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL
TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL
 
The Potential and Risks of Working With Conversation Agents
The Potential and Risks of Working With Conversation AgentsThe Potential and Risks of Working With Conversation Agents
The Potential and Risks of Working With Conversation Agents
 
Technology Based Social Entrepreneurship: Innovations That Matter
Technology Based Social Entrepreneurship: Innovations That MatterTechnology Based Social Entrepreneurship: Innovations That Matter
Technology Based Social Entrepreneurship: Innovations That Matter
 
AI for Data-­Driven Decisions in Water Management
AI for Data-­Driven Decisions in Water ManagementAI for Data-­Driven Decisions in Water Management
AI for Data-­Driven Decisions in Water Management
 
Summaries of Workshops held at IJCAI 2016 at New York in July
Summaries of Workshops held at IJCAI 2016 at New York in JulySummaries of Workshops held at IJCAI 2016 at New York in July
Summaries of Workshops held at IJCAI 2016 at New York in July
 
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...
Case Studies in Managing Traffic in a Developing Country with Privacy-Preserv...
 
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...
Blue Water: A Common Platform to Put Water Quality Data in India to Productiv...
 
Data View2016 Analytics Competition for Public Health Using Indian Open Data
Data View2016 Analytics Competition for Public Health Using Indian Open DataData View2016 Analytics Competition for Public Health Using Indian Open Data
Data View2016 Analytics Competition for Public Health Using Indian Open Data
 
Open Data for Financial Innovations in the Developing World
Open Data for Financial Innovations in the Developing WorldOpen Data for Financial Innovations in the Developing World
Open Data for Financial Innovations in the Developing World
 
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...Securing Intellectual Property – Why You Should Care and What Can You Do Abou...
Securing Intellectual Property – Why You Should Care and What Can You Do Abou...
 
Technological Challenges in Managing and Operating a Smart City: Planning for...
Technological Challenges in Managing and Operating a Smart City: Planning for...Technological Challenges in Managing and Operating a Smart City: Planning for...
Technological Challenges in Managing and Operating a Smart City: Planning for...
 
Global Trends in Use of IT for Efficient Public Health Care
Global Trends in Use of IT for Efficient Public Health CareGlobal Trends in Use of IT for Efficient Public Health Care
Global Trends in Use of IT for Efficient Public Health Care
 
AI for Smart City Innovations with Open Data (tutorial)
AI for Smart City Innovations with Open Data (tutorial)AI for Smart City Innovations with Open Data (tutorial)
AI for Smart City Innovations with Open Data (tutorial)
 
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...
Jumpstarting an Integrated Township Operations Center (Smart City) Using Peop...
 
Big, Open, Data and Semantics for Real-World Application Near You
Big, Open, Data and Semantics for Real-World Application Near YouBig, Open, Data and Semantics for Real-World Application Near You
Big, Open, Data and Semantics for Real-World Application Near You
 
Composing Web APIs – State of the art and mobile implications
Composing Web APIs – State of the art and mobile implicationsComposing Web APIs – State of the art and mobile implications
Composing Web APIs – State of the art and mobile implications
 
Tutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementTutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic Management
 
Tutorial on Taffic Management and AI
Tutorial on Taffic Management and AI Tutorial on Taffic Management and AI
Tutorial on Taffic Management and AI
 

Recently uploaded

What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage examplePragyanshuParadkar1
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 

Recently uploaded (20)

What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage example
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 

City Concierge V1.0

  • 1. City Concierge V1.0 One Stop Destination to Know More About the Cities you Care About !! (Powered by Open 311 and CitySDK APIs) Final Round Presentation - 10th June 2014 © Srikanth Tamilselvam, Biplav Srivastava, Madhavan Pallan, Mitesh Vasa App Instances 1.  http://bit.ly/Ukn1j9 (That is: http://54.200.19.247:8080/CityChallenge/participate.html ) 2.  http://citychallenge.ng.bluemix.net/participate.html
  • 2. AIM: Serving People by Design •  Target users –  Citizens wanting to know more about their city –  Travellers planning to visit new cities with memorable experiences –  People (e.g., business, government) wanting to compare cities •  Group information along a small set of easy-to-follow categories –  We selected - Traffic, health, building, city image, others –  Easy to change to any set of categories •  Languages supported – English, Portuguese, Spanish, German –  Easy to extend to any
  • 3. Serving People by Design •  Target users: Citizens, Travellers, People Citizens, Travellers Most events – Helsinki Most open service requests - Lisbon
  • 4. Check Services of Your Favorite City – Chicago, in example Lisbon (in Portuguese) Bonn(in German) People, Travellers Most city services – Lisbon; Traffic most common category in cities
  • 5. Design Principles •  Focus on features that promote usage of city data –  Overcoming language barriers –  Overcoming API and data diversity barriers –  Highlight commonalities, promote comparison •  Follow standards (Open 311, CitySDK APIs) •  Overcome (City API) errors to stay useful •  Be resource efficient to promote mobile apps –  Standardize on output formats
  • 6. Contacts Name: City Concierge App Creator: Srikanth G Tamilselvam, Biplav Srivastava, Madhavan Pallan, Mitesh H Vasa Email address: sbiplav@in.ibm.com Phone number: +91 11 4129 2100, +91 9810404142 Details Follow
  • 7. Sales Pitch – City Concierge In our application, we allow a person to know more about cities he lives in or wants to visit, provided the cities support Open 311/ CitySDK data and API services. The user can use the information to compare cities based on events that are happening, the services they support and the service requests they may have pending so that he can decide which city he wants to visit and have a pleasant experience. Key points are: •  Different cities may provide city service information in 10s to 100s of service types. The user, on the other hand, would understand only a few generic categories. So, the application clusters the information about services (and their definitions) along 5 high-level categories of health, traffic, building, city image and others that are easy to follow and use for comparing cities. •  Not all cities provide their information in English. The application can handle service information in English, Portuguese, Spanish and German, and uses them for clustering. So, the user can look at the services more easily even if they do not understand the service descriptions. •  The user can look at the events at the different cities in a time range and decide his plans. •  The user can look at the outstanding service requests at the different cities in a time range and decide his plans based on likely experience he may have. •  The application can be used to rank cities based on how vibrant they are and how resident-friendly they are using data from the respective cities. The service type information works for any city in the world supporting Open 311. So, apart from the cities in the competition, we have tested with Bonn, Germany (German language) and US cities of Tucson, Chicago and Boston. In principle, there is no limit for the cities that the backend can support due to the data standards. Major issue we faced: A few cities in the competition do not support Open 311 fully. That is, they support querying for service list but not on service definitions based on service code. This should be fixed. E.g., Lamia, Rome. To maintain application quality, we have to restrict the cities we could support in the front-end.
  • 8. Cluster Services of Given Cities’ Services Along “Basic 5” •  Focus on the right side module (Find distribution of city categories) •  By default, we have result clusters for 3 cities, 2 of them part of current city SDK end points –  3rd from Europe –  One can add any Open 311 supporting city to check •  Select any city to find their services in various categories •  Hover over them to find further information. •  Note this might take some considerable time so please be patient
  • 9. Find Events for a City •  Module to help users to find events in cities for a duration with awareness of the local issues •  Select one more cities and specify the duration and select search •  A table with city, number of events, total number of issues, number of specific issues like health, traffic is displayed. •  User can sort based on preference •  User can drill on events and service requests and decide on theor travel plans.
  • 10. Many Enhancements are Easy Showing events and open services on a map is easy but has performance implications. Hence omitted in first release.