GenArt: An AI Design Platform by a 17-Year-Old
GenArt AI Creator Can Create Images in 17 Seconds, Faster Than Chat GPT and Google’s Gemini
Daksh Suthar, a 17-year-old tech-savvy boy from Ahmedabad, has launched GenArt. This is a global design platform that uses Artificial Intelligence (AI).
Daksh says that today’s world is not just about jobs or college degrees. It is about skills and vision.
Daksh said, “Technology is in our hands, but how we use it depends on what we think.” His words made it clear that young people in India can be creators of technology, not just users. He stressed that if young people in India share their new ideas, the world will soon say “Imagined in India” more than “Made in India.”
He also said that Artificial Intelligence (AI) is changing our future. But for that to happen, we must first stop being afraid of technology. “AI will not take away jobs; it will change how work is done. Those who keep learning will move ahead.” Many thousands of young people saw themselves in Daksh’s words. They saw a picture of a new India that thinks, creates, and leads the world.
The Story of GenArt
At a big meeting, Daksh was not just speaking as a young business owner. He was speaking for a whole new generation. This generation sees technology not just as a tool, but as a world of new chances. He made it clear that the future is right in front of us; we just need to join in or create it.
GenArt started with a lot of excitement. One day, a question came up: “Can we mix Artificial Intelligence with art and make something new?” No one could answer. The only question was: How will it actually happen?
It worked. At the start, I wrote ideas in a sketchbook, tried designs, and played with different concepts. Slowly, through talking, it became clear that no matter where I went, my imagination was huge. From that talk, GenArt was born.
In the beginning, I did everything alone—design, words, pictures, every choice. I often felt like I was not working with people or was missing something. But my curiosity kept me going. That time was full of trying things out and making mistakes. But it gave GenArt its unique look.
I did not focus much on the process. I focused on the result. I was always learning a little, always improving a little. This regular effort slowly turned it into a brand.
Now, GenArt is not just a project; it is a daily habit. Every time I create something new, design something, or try an experiment, it is now a part of everyday life. From posting pictures on social media to updating the website, everything is the result of slow change.
The name of the AI website that Daksh has created is Genartml.com
How Does GenArtML.com Work?
GenArtML.com is based on the idea that many creative jobs require a fast and unbiased first look at an image. Instead of waiting for a human boss or client to review thousands of pictures, the AI steps in.
- Core Technology (How it Works): GenArtML.com uses Machine Learning (ML) models that have been trained on huge sets of visual data. It has seen millions of high-quality and low-quality images across different styles (like photography, graphic design, and concept art).
- The Process: When a user uploads an image, the AI quickly analyses many different factors at once.
- The Goal: It gives the image a predictive score based on how well it thinks the image will perform or how high-quality it is, often within seconds. This process is much faster than human review.
- What it Looks For: The AI is specifically trained to look for complex details that affect an image’s quality, such as:
- Technical Quality: Is the image sharp? Is the lighting good?
- Composition: Is the subject placed well in the frame? Is the image balanced?
- Style Adherence: If the user asks for a “vintage” look, does the image truly look vintage?
- Common Flaws: It’s trained to spot typical AI errors, like distorted hands or strange text, which allows it to act as a quality control filter.
Key Features of GenArtML.com
GenArtML.com offers several tools that turn its scoring system into a valuable resource for creative professionals and students alike.
- The 17-Second Evaluation: This is the platform’s signature feature. It promises a very fast quality check. For people working on tight deadlines, getting instant feedback allows them to quickly decide if they need to regenerate an image or keep working on it.
- Prompt Evaluation (Input Quality Check): The platform doesn’t just judge the output image; it can often judge the prompt (the text description you give to another AI like Midjourney or DALL-E) before you even generate the picture. This feature guides users to write better prompts, saving time and “credits” on other AI tools.
- Style-Specific Scoring: The score isn’t a one-size-fits-all number. Users can tell the AI if the image is meant to be a photorealistic portrait, a graphic design logo, or abstract art. The AI then scores it based on the standards of that specific style, ensuring a fair and relevant critique.
- Detailed Feedback Reports: Instead of just giving a score, the platform gives a simple report. For example, it might say: “Overall Score: 85/100. Recommendation: Improve the shadow detail in the background to achieve better realism.” This specific guidance is what makes it a powerful learning tool.
- Benchmark Against Trends: Because the AI model is constantly updated, it can tell a creator how their image compares to the current, popular design trends on major platforms. This is crucial for people creating content for social media or marketing.
GenArt is an expression—a perfect balance between creativity and technology. It reminds me that if I want to achieve something big, I have to start small. Just keep your curiosity, and everything will fall into place.
Visit the Website to Generate Your Image: https://www.genartml.com/
