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Android ADK based app for offer making based on location and activity reporting John Waters

Android ADK based app for offer making based on location and activity reporting John Waters Electronic & Computer Engineering, National University of Ireland, Galway. Solution

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Android ADK based app for offer making based on location and activity reporting John Waters

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  1. Android ADK based app for offer making based on location and activity reporting John Waters Electronic & Computer Engineering, National University of Ireland, Galway Solution By allowing users to gain access to offers from outlets across the NUIG campus, we can obtain a reasonably accurate location from the app. The user’s location is uploaded to a sever where a pool of user’s current locations exists. The Business can then observe the number of users nearby and target their marketing appropriately. Using the business app, they can send out an offer to the nearby users. The Business Android device is also connected to an LED Matrix display. This display can output any information the business would like. Most often, the business’s twitter feed, current offers and the time. The LED Matrix is run directly from an Arduino Mega ADK which is connected to the Android device. Introduction With the increase in smartphone sales in recent years, a large market for user and business apps has opened up. These smartphones are rich with high quality sensors, this allows for unique apps that could never exist previously. This project aims to use the location sensors on-board Android devices in order to facilitate tracking the ‘Mass Movement of People’. As an incentive to use the app, businesses can provide users with offers based on their location. The app is a functional twitter application allowing the user to retrieve their tweets, send tweets , reply and retweet. Business App & Display Figure 2 System Diagram – Map of the entire system and the components used to build it Figure 3Business App – The phone on the left displays the number of people in the vicinity of the business currently. It also allows for new offers to be made and the current offers are displayed at the bottom. On the right is the LED display which is located in the business outputting information to customers User App Acknowledgments Supervisor: Dr. John Breslin Co-Supervisor: Dr. Peter Corcoran Lab Technicians: Martin Burke & Myles Meehan Figure 1 ‘NUIG Deals’ User app interface. The screen on the left is where the user logs into their twitter account. The screen on the right shows the twitter aspects of the app.

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