BRAND AND INDUSTRY COLOR DEFINER
The process of coloring a design can be a daunting process for beginners to the industry and may dissuade potential designers or artists that are trying to get into the industry. Most of the knowledge needed to understand the concept and theory of color are still passed down through books, tex...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2020
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/21714/1/24610%20MOHAMAD%20SYAHMIN%20BIN%20AHMAD%20BADARDIN%20DISSERTATION.pdf http://utpedia.utp.edu.my/21714/ |
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| Summary: | The process of coloring a design can be a daunting process for beginners to the industry and
may dissuade potential designers or artists that are trying to get into the industry. Most of the
knowledge needed to understand the concept and theory of color are still passed down through
books, texts and other people teaching the new artists or designers. Even professional artists
still sometimes take quite a lot of time deciding for the colors they want in their designs.
This project aims to solve that problem through using an AI to help recommend color
combinations by Inputting values that relates to the Industry , Audience, Price and Age of the
prospective customers so that they have a more clear guide and what kinds of colors are needed
for their design. The study done by the student has shown that there is still no datasets available
that can recommend color themes according to the values, however there are sources which
shows what kind of Industry does a particular color dominate and what kind of audience will
be attracted to specific kind of color. The student then creates a dataset after doing enough
research from those sources and uses that dataset in order to train the AI in order for it to
understand and predict what the values are and what the predicted outcome will be. Once the
training of the model is done the student then import the model into a web application using
Dash and Plotly, to give it a user interface and for users to interact with it. On the web
application will be a pie chart that will correspond and change its color according to the
predicted value. And from the Pie Chart user can hopefully see the themes that they are
supposed to work with in regard to that particular Audience , Industry, Age and Price. |
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