A local game development company is collaborating with Italic Pig to develop a game character filter engine using machine learning. The filter will allow for infinite character creation by analyzing structured character data like body type and parts to generate new monsters. Italic Pig trained models using exploratory data analysis on a dataset of monster representations and architectures for API endpoints and inference. The director of Italic Pig said this work has provided concrete answers and avenues for their character creation goals.

1. GAME CHARACTER
FILTER ENGINE
IN COLLABORATION WITH ITALIC PIG

2. INTRODUCTION
SUPPORT LOCAL COMPANIES
PARALLEL DELIVERY TIMELINE
APPLICATION IN A UNIQUE DOMAIN
DEVELOP OUR STAFF
LOCAL GAME DEVELOPMENT COMPANY LOOKING INTO INFINITE CHARACTER
CREATION TO BETTER IMMERSE PLAYERS IN THEIR LATEST UPCOMING GAME

3. “
”
WHAT DATA IS BEING
USED?

5. MAKING OF A
MONSTER
STRUCTURED AS A JSON OBJECT
BODY TYPE AND LOCOMOTION TYPE
NUMBER OF BODY PARTS: EYES, MOUTHS, ARMS, LEGS, ETC
SIZE AND POSITIONING OF BODY PARTS
RGB COLOUR OF BODY AND BODY PARTS

6. EXPLORATORY DATA ANALYSIS

7. API
Gateway
Lambda DynamoDB
TRAINING ARCHITECTURE

8. API
Gateway
Lambda S3
GOTCHA

9. API
Gateway Lambda DynamoDB
Lambda SageMaker
Endpoint
SageMaker S3
INFERENCE ARCHITECTURE

10. “
”
THIS HAS GIVEN US
CONCRETE ANSWERS AND
TANGIBLE AVENUES
- KEVIN BEIMERS (DIRECTOR OF ITALIC PIG)