Automation Prototypes for Acrylic Robotics

The goal of this project is to create automation prototypes for Acrylic Robotics' robotic painting system. This will involve several different steps for the students, including: - Analyzing Acrylic Robotics' existing data and painting systems. - Developing a robotic automation software. - Optimizing software runtime performance and assessing areas for improvement. - Researching other variables that can improve the quality of robotic painting. - Accounting for additional variables in the automation software. - Testing the developed software and making improvements based on additional data.

Branding Guide Creation

The main goal for the project is to create a comprehensive branding guide for Acrylic Robotics that will establish the company's visual identity, tone, and messaging across all platforms and marketing materials. This guide will ensure consistency in the company's branding and help to build a strong and recognizable brand image in the art-tech and robotics industry.

Website UI / UX Design & Prototype

Our company would like to design a prototype web app for consumesr. We are always on the ookout for innovative and fresh UI and UX ideas that will help our users. This will involve: Conducting background research on our existing web application for the product. We are happy to provide a walkthrough and other resources to help bring them up to speed. Learning and using various software design tools. We strongly recommend students learn how to use Figma as this is the latest and greatest tool currently available. Creation of a screen by screen UX / UI prototype of a web application which can be used on all major browsers and be mobile friendly Conducting UX / UI testing with real potential users potentially involving paper prototypes or other software tools to support this

AI Image to Painting Function Demo

The main goal for the project is to build a functional demo of Acrylic Robotics' AI image to painting product for investor pitches. This will involve several different steps for the learners, including: - Understanding the technical infrastructure required to collect, analyze, and transform painting data. - Developing the AI image to painting function demo. - Testing the demo and making improvements based on feedback. - Creating a presentation to showcase the demo to potential investors.