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Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

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Purpose “How many people here actually know where they’re going?”
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http://seniord.ece.iastate.edu/d ec0912/ Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao
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Page 1: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

http://seniord.ece.iastate.edu/dec0912/

Members:

•Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis

Advisor:•Professor Daji Qiao

Page 2: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

What We Will be Covering1. Purpose2. Proposed Solution3. Design Layouts

1. Hardware2. Software3. Interface

4. Risks and Challenges

Page 3: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

Purpose

“How many people here actually know where they’re going?”

Page 4: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

Purpose

“Are you making the most of your time at the career fair?”

Page 5: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

PurposeTo develop a pervasive system to help

students manage their time better while at the job fair by picking out the best booth to go to based onLine length/CongestionEmployer/Student requirements

Page 6: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

SolutionCreate a system where students can “check

in” at booths to inform system that he/she is waiting in that booth’s respective queue

Inform students in which order they should visit booths based on set algorithm

Page 7: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

How do we go about this?Students query the server through swipe of

RFID card

Students are informed via text message, screen display, or printout

Page 8: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

SoftwareClient/Server system for check-in/out and text

messagingBest fit algorithm for deciding employer visit orderEmployer’s interface for use on their laptops

On-board programWeb-interface

Terminal printing

*Note not all of these will necessarily be implemented in the system

Page 9: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

The System

Page 10: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

ENTRANCE CHECK-IN

TERMINALS

EMPLOYER BOOTHS

TERMINALS

Page 11: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

ENTRANCE CHECK-IN

TERMINALS

EMPLOYER BOOTHS

TERMINALS

Page 12: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

ENTRANCE CHECK-IN

TERMINALS

EMPLOYER BOOTHS

TERMINALS

Page 13: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

ENTRANCE CHECK-IN

TERMINALS

EMPLOYER BOOTHS

TERMINALS

Page 14: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

ENTRANCE CHECK-IN

TERMINALS

EMPLOYER BOOTHS

TERMINALS

Page 15: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

What We’ve Done So FarTested components of our system

Prototype PHP codeWeb interface prototypeMySQL initial database prototype

Bought Components and tested themLaptopsRFID Readers

Page 16: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

What we are planning to doCreating Web Interfaces

Finish design of database tables

Purchase/obtain more RFID readers

Setup Communications

Implement fully functional matching algorithm

Page 17: Members: Adam Lee, Kartik Subbu, Nick Oakman, and Gabriel Semonis Advisor: Professor Daji Qiao.

Using RFID technology, PHP, and a MySQL database the system will help students visit more prospective employers by keeping track of how many people are in the various employer’s lines and sending students to the shortest line based on set criteria.

Conclusion

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