As a developer, I’ve always been interested in building web applications that solve real-world problems. Recently, I had the idea to create a web application that extracts colors from images and generates a color palette, but I wasn’t quite sure how to get started. That’s when I turned to ChatGPT, a large language model trained by OpenAI, for help.
With ChatGPT’s assistance, I was able to develop ImagesColor.com, a color palette generator that extracts colors from images and generates a color palette that developers and designers can use in their projects. Here’s how we did it using Next.js and Chakra UI:
Step 1: Determining the Essential Features
The first step was to determine the essential features of the web application. We wanted to focus on the key features that would make it easy for users to extract colors from images and generate a color palette. This included image uploading, color extraction, color palette generation, and color palette display.
Step 2: Developing the Color Extraction Algorithm
With ChatGPT’s guidance, we developed an algorithm that could extract colors from an uploaded image. The algorithm was designed to pick up the most prominent colors in the image and generate a color palette based on those colors. We also incorporated a color picker tool to allow users to select colors manually.
Step 3: Building the Web Application with Next.js and Chakra UI
Next, we built the web application using modern web technologies like Next.js and Chakra UI. Next.js provided us with an easy-to-use framework for building server-side rendered web applications. Chakra UI, a component library for React, helped us build a clean and intuitive design that would make it easy for users to upload images, extract colors, and generate a color palette. We also made sure that the web application was mobile-responsive so that it could be accessed on a range of devices.
Step 4: Testing and Launching
After the web application was developed, we conducted thorough testing to ensure that it worked flawlessly. We made some adjustments based on the testing results, and then launched the web application to the public.
The web application was launched just few days ago, and I have already received positive feedback from developers and designers who have found the tool incredibly helpful. Thanks to ChatGPT’s assistance, I was able to develop a web application that helps developers and designers overcome one of the most challenging aspects of their work.
In conclusion, building ImagesColor.com with the help of ChatGPT, Next.js, and Chakra UI was a great experience, and I am grateful for the guidance and support I received. I’m excited to see how the web application will help developers and designers create beautiful, complementary color palettes for their projects.