Drunkendroid Features

This page lists a number of features which are considered for implementation

Ungraphed features

dB reader

read the sound level in order to plot techno / jazz / restaurants with more precision.

Feature graph

A feature graph has been developed, in order to show dependencies, and give a clear picture of where the main feature areas are. The graph is notated with the feature numbers which follows.

 http://my-trac.assembla.com/drunkendroid/browser/docs/features/Drunkendroid%20features.png

Features

1. Mood Reading

Register the user' mood regularly

2. Automatic Startup

Start automatically in prime-time. For instance, friday and saturday night.

3. View Moodmap for own trip

Overlay mood colors on top of a map with geo locations

4. Register Geo Locations

Use the GPS to register geolocations regularly doing a party trip

5. Share party trip with facebook

Upload the content at the central server, have it calculate a moodmap and add it to the users facebook profile.

6. Register SMS traffic

And attach references to the trip

7. Register snap-shot activity

During a trip, register what images are shot using the camera. Attach references to the trip.

8. Register video camerara activity

Same as for feature 7.

9. Upload mood-data to a central server

Upload data for comparison, and generation of average maps by other users.

10. Download mood-data from a central server

Download time and location specific average moods.

11. Get trip rating from server

Compared to the average trip. Was it the longest? The most fun? At the most hip place?

12. Overlay activity references onto own modmap

Ex. pins with number references to images, sms messages and videos captured during the trip.

13. Register with central server

Using IMEI, gender, age, income level and optionally facebook e-mail adress and password, for facebook connectivity.

14. Location and time aware ads

Implement ads, for liqueor, tobacco, clubs, cabs and events.

15. View realtime moodmap

View the moodmap consolidated from average moods in the same geolocation

16. Cache mood data

Implement a cache, which handles connectivity to the central server.

17. Notify about nearby wild moods

Notify the user about wild moods in the same area. Maybe there's a place to avoid or go to see.

18. Cityguide - average moods based on weekdata

Consolidate mood data from the same days and hours a day, for each week, to create a guide which is able to show the usual moods in a certain area, at the same time of the week.