QuackHack

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Success!

Team Awesome pick up the award for Best use of Geographical Data for their CrimeLine app.

Well done to both Cyber-Duck teams and everyone who took part in the Spring Hackathon.

Look out for the full blog post, coming soon on the Cyber-Duck blog

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The morning report

Both teams have stayed up all night, working relentlessly into the early hours. With the presentation deadline approaching, they are now working to finish their projects and prepare to present their ideas.

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Team Awesome

Team Awesome are getting closer to having a finished application, which and have been invited to demonstrate it to the Met Police who are hacking in the same building.

The biggest development has been the roll out of the crime radius feature. When a user clicks on an area of the map, a simple report is generated showing the number of different crimes committed within a mile of that location.

The group are now generating the data that has been cached locally. In the larger cities the API could not support the amount of data that was needed to generate the heatmap.

The heatmap has been designed so that it reflects the seriousness of crime (using the Kynaston scale) in an area as well as the frequency/ reoccurrence of the crime.         

As it’s been built as a responsive web app, we now have the application working on tablet and mobile. Functions can be used as touch. – some of the interfaces still need a lot of work.

Team WCL

Since the last update, the group have been working tirelessly to implement Google Maps on the web page to display the travel area and nearby GP surgeries. The group came to a bottleneck and had to spend time linking and integrating everyone’s individual work together. The user submission form is now very close to completion.

Team WCL will spend the rest of the day testing and setting up the form submission and neatening up the front end.

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Team Awesome - The Crime Heat Mapp
OpenStreetMap has been easy to set up and the timeline feature is also working. They stumbled upon a problem whereby the amount of data is too large to process, and is a lot more than previously thought. The UK is crime ridden!
As all the APIs are working well we have got the heatmap working. The group plan to work overnight, prototyping using crime data only in London, splitting the capital into grid segments. By downloading the data in advance and then grouping it together within the grids, they should be able to overcome the problem of the overwhelming amount of data.

Team W.C.L - GPSearch
Benjamin has done a responsive layout using Twitter bootstrap, its elastic with breakpoints for tablet and mobile. It’s layout includes a form to enable search, with a map next to it (or below for mobile).
After searching, the user will get a text list as well as a map, covering accessibility.
Fabrizio has done a wrapper for Ben’s library to keep the integration with the travel time API clean.
Mark has taken the CSV file with all the GP practices, imported it into the database, converting eastings and northings into longitude and latitude – storing that into MongoDB with a 2D index to allow geo-spatial query.
The next stage is to integrate all the components and start putting together a finished application.

The Lone-Duck - RollingOnTheTube

After creating the user interface (UI) and finding that it is quite complex to aggregate the dataset by combining postcode with latitude and longitude and accessible tube stations, Danny decided to have a change of direction. Tomorrow he is going to try to develop a UI that obtains the location of the user via the GPS, which will be mapped against the longitude and latitude dataset that also has accessible tube stations alongside each coordinate.

Team Awesome - The Crime Heat Mapp

OpenStreetMap has been easy to set up and the timeline feature is also working. They stumbled upon a problem whereby the amount of data is too large to process, and is a lot more than previously thought. The UK is crime ridden!

As all the APIs are working well we have got the heatmap working. The group plan to work overnight, prototyping using crime data only in London, splitting the capital into grid segments. By downloading the data in advance and then grouping it together within the grids, they should be able to overcome the problem of the overwhelming amount of data.

Team W.C.L - GPSearch

Benjamin has done a responsive layout using Twitter bootstrap, its elastic with breakpoints for tablet and mobile. It’s layout includes a form to enable search, with a map next to it (or below for mobile).

After searching, the user will get a text list as well as a map, covering accessibility.

Fabrizio has done a wrapper for Ben’s library to keep the integration with the travel time API clean.

Mark has taken the CSV file with all the GP practices, imported it into the database, converting eastings and northings into longitude and latitude – storing that into MongoDB with a 2D index to allow geo-spatial query.

The next stage is to integrate all the components and start putting together a finished application.

The Lone-Duck - RollingOnTheTube

After creating the user interface (UI) and finding that it is quite complex to aggregate the dataset by combining postcode with latitude and longitude and accessible tube stations, Danny decided to have a change of direction. Tomorrow he is going to try to develop a UI that obtains the location of the user via the GPS, which will be mapped against the longitude and latitude dataset that also has accessible tube stations alongside each coordinate.

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Each team presented their ideas to the rest of the group. Below is what the QuackHack teams will be working on over the next 24 hours.
Team Awesome

Team Awesome is made up of Alex, Gareth, Ben and Andrew. They are creating an application which draws from the Police UK API, and displays the levels of crime throughout the whole of the UK using heat maps. They will include a scrolling timeline so that users can see how crime levels have fluctuated in the past 3 years.


Team W.C.L.
Team W.C.L. (Wireless Connexion Lost) is made up of Benjamin, Mark and QuackHack recruit, Fabrizio. They are building an responsive web application which essentially helps people find their nearest GPs based on the travel times from their location and their preferred transport routes.

They will be drawing data from the iGeolize API, Google maps and the GP data from http://data.gov.uk/

Team Lone-Duck
Danny is the Lone-Duck, developing an android mobile app to help wheelchair users find the closest wheelchair accessible London underground train station to their location. He is currently facing the dilemma of either trying to aggregate the tube station accessibility info and location or building his own sample data store.

Each team presented their ideas to the rest of the group. Below is what the QuackHack teams will be working on over the next 24 hours.

Team Awesome

Team Awesome is made up of Alex, Gareth, Ben and Andrew. They are creating an application which draws from the Police UK API, and displays the levels of crime throughout the whole of the UK using heat maps. They will include a scrolling timeline so that users can see how crime levels have fluctuated in the past 3 years.

Team W.C.L.

Team W.C.L. (Wireless Connexion Lost) is made up of Benjamin, Mark and QuackHack recruit, Fabrizio. They are building an responsive web application which essentially helps people find their nearest GPs based on the travel times from their location and their preferred transport routes.

They will be drawing data from the iGeolize API, Google maps and the GP data from http://data.gov.uk/

Team Lone-Duck

Danny is the Lone-Duck, developing an android mobile app to help wheelchair users find the closest wheelchair accessible London underground train station to their location. He is currently facing the dilemma of either trying to aggregate the tube station accessibility info and location or building his own sample data store.

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The team downloaded and are trialling laravel 4 (beta) as the base framework for our projects this weekend. 

The team downloaded and are trialling laravel 4 (beta) as the base framework for our projects this weekend. 

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The teams kick off with their projects. The #SpringHackathon is an opportunity for developers and programmers to make cool tools for local communities.

The teams kick off with their projects. The #SpringHackathon is an opportunity for developers and programmers to make cool tools for local communities.

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Project wave - Kinect HTML app is now complete

Team3 (team “AirWolf”) have now completed the 2 day ‘DevUXathon’ working solidly over the weekend to deliver a working prototype of a future app.

27 May 2012 (Sunday)

For those that don’t know, we tasked ourselves with a brief on producing a gallery viewing app using ‘phsycial gestures’ such as hand movements within 2 days. We knew that it would be possible via the Microsoft Kinect technology and using a framework such as Kinesis.io on any modern PC. We finished the prototype project in 12 HOURS!

We are going to present a sliderocket presentation (and the live app) at 16:00 to the two other teams Team1 (team “to cool and/or hardworking to have a name”) and Team2 (team “AwesomeSquared”) to hopefully blow their flips flops off.

If you can’t see the presentation below you can also the Kinect HTML gallery viewer app via this hyperlink.

Filed under team3 teamAwesomeSquared team1 kinect sliderocket html javascript js css pc kinesis openni

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Team 3 get Kinect to work as cursor follows Tauseef’s hand around the screen #GroundbreakingStuff

Filed under Team 3