• Finding contact in smartphone memory in order to make a call requires several operations.
• Reducing the time taken to dial a call improves user experience.

Our Innovation

• Application minimizes the number of clicks needed to call a contact from device's contact list. Application predicts who the user will call next, based on previous usage as well as on other information gathered by the Smartphone's sensors.

  

• The application places a widget that holds the names and images of contacts on the Smartphone's desktop.
• An ongoing Machine-Learning algorithm operates in the background and predicts the next outgoing calls.
• The widget is periodically updated with the algorithm's latest predictions.
• Clicking a contact on the widget triggers an outgoing call to that contact.
• The application allows privacy settings such as blocking specific contacts from being displayed in the widget.
• While learning the user's specific behaviour, the application suggests staying in hibernation mode. Only after achieving satisfactory predictions, the application presents itself to the user.
• The application is optimized for minimum battery consumption.

Development Milestones

• Seeking commercial cooperation for implementation of application

The Opportunity

• Fast integration into any smartphone technology that constantly improves itself.