The idea came to me eight days ago, when I was hanging out with a designer friend of mine, and we were having a conversation about the new Facebook name and logo or Meta Logo. She told me how Meta and a lot of new startup designers are ditching the old trend and trying to redefine the meaning of colors in marketing and are creating logos and social media posts by simply experimenting, yes, and that too without using the color theory.

I decided to do some digging and today come up with the prototype or MVP using Modzy's open-source dominant color detection AI model. I haven't utilized the full potential of Modzy Platform but will do so in the second phase of developing the project. The end app idea heavily relies on developing and deploying a new ML model, where I feel the Modzy platform would play a vital role.

The Problem

According to a research paper published on Researchgate back in 2011, click here brands use specific colors in their marketing strategies to communicate and share their brand's purpose, core values, and offerings to the end-users. Up till 2020, brands and companies were following the same old trends, and you might have come across the same old sober color palettes too. Since then, there has been no invention or study in the field.

But things have changed a lot. More and more companies like Facebook, Google, Canva, Adobe have adopted gradients (Two or more colors that fade together) in their logo design, social media posts to represent their organization's core values and communicate effectively with their customers. If you don't believe me! Look at the logos of Facebook Messenger, Instagram, Whatsapp, Canva etc.

We at Gradient Palette believe that by 2025, gradient palette will dominate a lot of market sectors. Designers will use gradients and different color palettes everywhere. Yes, not just in designing logos or social media posts but also in designing clothes and shoes (apparel).

Today Designers use color theory and the results from the above research paper to create color palettes for designing anything and everything. They don't experiment with the colors a lot. They follow a set pattern and take inspiration from other artists and designers. But that is because they don't have the right set of tools. With Gradient Palette, they can get inspiration from our very own mother nature.

They can detect colors from images and create and view different gradient palettes at a click of a button on their mobile phone. People can use gradient color palettes in 3D printing, etc.

What it does

Gradient Palette is a flutter mobile application. It is currently in the testing phase, which helps creative designers and professionals to create, identify colors, and generate gradients from the things around them. (Uses Modzy Dominant Color Detection Model)

Professionals can also get color palette recommendations for all their business needs.

Today, the app allows professionals to create and share gradient backgrounds, CSS Code, and participate in our survey to help us create the recommendation engine and set up a new trend.

Professionals can now view and design T-shirts using gradient colors.

In the future, it will allow them to create logos, social media posts, and view gradients on Digital images of T-shirts and shoes. It will also provide them with gradient palette recommendations using Modzy's ML-ops Platform. (Will work on developing ML model using Modzy Platform.)

The app is available on Google PlayStore (USA, Canada, India, Singapore).

How we built it

Following technologies have been used while developing the app: Flutter, Firebase, Modzy Dominant color Detection ML Model, FastAPI

What's next for Gradient Palette

The app is still in the testing phase and is available for android users only. I don't have an IOS AppStore account. Therefore I haven't set the IOS app up, but It will be in an hour.

  • Gradient Color Palette Recommender system.
  • The app will let users view the generated gradients on digital images of clothes and shoes.
  • The app will allow users to create and share Gradient logos and social media posts from within the app. (Right now, it only supports background creation with limited available options)
  • Code optimization and adding CI/CD to the project.

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