Our application idea presentation for the AI-MAS Winter Olympics AIdeas national event

1. Cultural Exchange
A Web-enhanced better living
Anca, Mădălina, Codrin, Vlad
Dr. Sabin Corneliu Buraga
Faculty of Informatics Iași

2. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
intelligence, prediction, practice, quest, fidelity, sm
image,interpersonal intelligence, information, und
ding, numbers, vocabulary, solving, problem, crea
define, communicate, share, contribute, bring, fin
words, ontology, state, culture, user, experience, w
exchange, activity, auction, bid, friend, interact, in
society, accessibility, discussion, feedback, gather,
solve, enrich, experience, cause, effect, save, trav

3. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
intelligence, prediction, practice, quest, fidelity, sm
image,interpersonal intelligence, information, und
ding, numbers, vocabulary, solving, problem, crea
define, communicate, share, contribute, bring, fin
Problem
words, ontology, state, culture, user, experience, w
People in need
Few resources
exchange, activity, auction, bid, friend, interact, in
society, accessibility, discussion, feedback, gather,
solve, enrich, experience, cause, effect, save, trav

4. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
People
intelligence, prediction, practice, quest, fidelity, sm
Have problems
image,interpersonal intelligence, information, und
Can solve them
ding, numbers, vocabulary, solving, problem, crea
define, communicate, share, contribute, bring, fin
Problem
words, ontology, state, culture, user, experience, w
People in need
Few resources
exchange, activity, auction, bid, friend, interact, in
society, accessibility, discussion, feedback, gather,
solve, enrich, experience, cause, effect, save, trav

5. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
People
intelligence, prediction, practice, quest, fidelity, sm
Auctions
Have problems
image,interpersonal intelligence, information, und
Can solve them Tell a cultural story
Great income
ding, numbers, vocabulary, solving, problem, crea
define, communicate, share, contribute, bring, fin
Problem
words, ontology, state, culture, user, experience, w
People in need
Few resources
exchange, activity, auction, bid, friend, interact, in
society, accessibility, discussion, feedback, gather,
solve, enrich, experience, cause, effect, save, trav

6. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
People
intelligence, prediction, practice, quest, fidelity, sm
Auctions
Have problems
image,interpersonal intelligence, information, und
Can solve them Tell a cultural story
Great income
ding, numbers, vocabulary, solving, problem, crea Profit
define, communicate, share, contribute, us
Problem
Can support
Can support
bring, fin
words, ontology, state, culture, user, experience, w
People in need
Few resources
exchange, activity, auction, bid, friend, interact, in
society, accessibility, discussion, feedback, gather,
solve, enrich, experience, cause, effect, save, trav

7. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
People
intelligence, prediction, practice, quest, fidelity, sm
Auctions
Have problems
image,interpersonal intelligence, information, und
Can solve them Tell a cultural story
Great income
ding, numbers, vocabulary, solving, problem, crea Profit
define, communicate, share, contribute, us
Problem
Can support
Can support
bring, fin
words, ontology, state, culture, user, experience, w
People in need
Few resources
exchange, activity, auction, bid, friend, interact, in
Solutions
society, accessibility,Share resources
discussion, feedback, gather,
Solve problems
solve, enrich, experience, cause, effect, save, trav

8. kinesthetic, sound, color, geometry, mathematica
gence, dance ,theory, experiential, pencil, linguisti
People
intelligence, prediction, practice, quest, fidelity, sm
Auctions
Have problems
image,interpersonal intelligence, information, und
Can solve them Tell a cultural story
Great income
ding, numbers, vocabulary, solving, problem, crea Profit
Problem Application
define, communicate, share, contribute, us
words, ontology, state, culture, user, experience, w
People in need
Can support
Can support
bring, fin
Few resources
exchange, activity, auction, bid, friend, interact, in
Solutions
society, accessibility,Share resources
discussion, feedback, gather,
Solve problems
solve, enrich, experience, cause, effect, save, trav

9. Our idea
Need versus Waste
There must be a way to emphasize the waste
so that people get motivated to orient it to
something useful.
Cultural diversity
Through our application we promote
cultural diversity, but in a way that allows users
to involve, invest entertainment time.

10. Global app
Internationalization and Localization
Our application adapts to the user culture.
Local benefits are prioritary to general benefits.
Uses APIs for language translation from Google.
The butterfly effect – in solving other’s problems.
People from all over the World
Permanently learn about new cultures.
Associate artifact auction income with a problem.
Bid to solve that problem.

11. For users
One profile for each user
Merge different accounts.
Use merging APIs such as Gravatar.
Data the user expects to read
Objects are linked to resources.
Video, imagery, books, blogs, news are resources.
Use data APIs from Google, Geonames, Eventful.
Predictions and suggestions based on user actions.

12. For users
Get involved
Use their time to identify and discuss problems.
Everything works like a game with checkpoints.
Entertainment is seen as an investment.
Actively socialize, also by using current networks.
User has the power
Direct own artifacts incomes to specific problems.
Choose actions to make on his or her own path.

13. Learning
Constant learner
Based on user actions, our application profiles users.
New actions are suggested by looking at the past.
Use APIs for prediction and inferences.
Adding value
Sets of actions, if applied, may yield new actions.
Our application learns both natural and inferred acts.
Use RDF and OWL with inference engines.
Send output to and query learning programs via API.

14. Model

15. UX

16. UX

17. RDF OWL
Actions Data
Maps Translate
Space I18N L10N
Group
Friends App Social
Cultural Networks
Exchange User Integration
Gravatar
Predict
Google API Resource
Images
Auction Videos
Income Blogs
Object APIs News
Problem
Location

18. Thank You
For your attention
Anca, Mădălina, Codrin, Vlad
Dr. Sabin Corneliu Buraga
Faculty of Informatics Iași
busaco@info.uaic.ro