Artificial intelligence in the post-deep learning era
Turku Random Tour presentation
1. Random Culture Tour in Turku
Kari-Pekka Pyylampi & Juho Loukonen
Boost Turku Open Data Hackathon
Sep. 20 – 22, 2013Photo: City of Turku
2. What we wanted to address:
Info Flood
about
locations
Plenty of
hidden
Gems
Difficult to
choose
venue
Make the decision FOR the
user
3. What we wanted to do:
• Learn to make a simple GIS application!
• .. that works
• .. and helps people find interesting places close to
them!
4. • Random sample of 4 venues at user location
• Buffer of 1 km
• Resampling of 1 or all venues and
• Resampling at given location
• Data: works of art data provided by Turku + museum etc.
data ripped from Turku Touring
• Platform: Openstreetmap.org = fairly lightweight
Features & demo:
Demo:
http://koopee.github.io/randomTour
5. Conclusions and future
• Creating GIS is way harder than using it
• GIS requires creativity
• More data and data filters!
• Add descriptions about venues to data!
• Write tour into a log
• Port to handheld devices
Photo: City of Turku