Title

Who's That Pokemon: Pokedex Project

Lead Author Major

Computer Science

Lead Author Status

Senior

Second Author Major

Computer Science

Second Author Status

Senior

Third Author Major

Computer Science

Third Author Status

Senior

Format

SOECS Senior Project Demonstration

Faculty Mentor Name

Mike Canniff

Faculty Mentor Department

School of Engineering and Computer Science

Abstract/Artist Statement

Abstract

The goal of the Pokèdex is to help those who are new to Pokèmon identify the creatures and to bring to life the tool from the show for nostalgic fans.

Objectives

  1. In order to accomplish this, we utilized an Object Detection API with Tensorflow using Python.

  2. Our application will highlight the detected Pokemon by surrounding it with a box and a label with the Pokemon's name and the program's percent confidence.

  3. People can expect a GUI that takes a picture of a Pokémon with a scan button. The program will scan the Pokemon in frame and use our Object Detection API to distinguish said Pokémon.

Artist Statement

Our motivation to develop this application was driven by our love for the Pokèmon show and desire to apply skills learned throughout our time at Pacific as well as learning topics in a field we are all interested in - machine learning (ML) and artificial intelligence (AI).

We hope that audiences are able to see the fluidity of the program and quick results. The quick and certain results are as a result of hours of hard work poured into this project. We hope that others will share the same joy for the project as we do and really just have an enjoyable experience while using our application.

It was enjoyable to research this project, since it did involve a lot of looking up Pokemon pictures and stats - which isn’t the typical homework assignment.

Location

Virtual

Start Date

25-4-2020 2:00 PM

End Date

25-4-2020 4:00 PM

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Apr 25th, 2:00 PM Apr 25th, 4:00 PM

Who's That Pokemon: Pokedex Project

Virtual

Abstract

The goal of the Pokèdex is to help those who are new to Pokèmon identify the creatures and to bring to life the tool from the show for nostalgic fans.

Objectives

  1. In order to accomplish this, we utilized an Object Detection API with Tensorflow using Python.

  2. Our application will highlight the detected Pokemon by surrounding it with a box and a label with the Pokemon's name and the program's percent confidence.

  3. People can expect a GUI that takes a picture of a Pokémon with a scan button. The program will scan the Pokemon in frame and use our Object Detection API to distinguish said Pokémon.

Artist Statement

Our motivation to develop this application was driven by our love for the Pokèmon show and desire to apply skills learned throughout our time at Pacific as well as learning topics in a field we are all interested in - machine learning (ML) and artificial intelligence (AI).

We hope that audiences are able to see the fluidity of the program and quick results. The quick and certain results are as a result of hours of hard work poured into this project. We hope that others will share the same joy for the project as we do and really just have an enjoyable experience while using our application.

It was enjoyable to research this project, since it did involve a lot of looking up Pokemon pictures and stats - which isn’t the typical homework assignment.