AI-Driven Web Design Feedback: Mika’s Bootcamp Project

Imagine designing a web app and instantly getting expert feedback—no waiting. Mika’s bootcamp project Eyez AI Reviewer does exactly that . Using AI, her platform provides instant insights on design, accessibility, and UX Just upload a screenshot, and get valuable feedback right away, helping developers and designers improve their projects faster and more efficiently.

The Idea: A Smarter Way to Improve UI and UX

The inspiration for the project came from Mika’s own struggles with design during the web development bootcamp.

“I'm no design wizard, so I've had to use a lot of AI to help me with that during the bootcamp, where I posted screenshots of UI bugs in an AI chat and asked for help. I was amazed at how good AI is at interpreting images, so I wanted to experiment with those capabilities. An image does say 1000 words, and AI loves many words. I wanted to build something I could personally use while experimenting with a technology I was excited about—and that’s how the idea was born”

The result? The tool Eyez AI Reviewer that transforms screenshots into structured design feedback, helping developers streamline the process of refining their user interfaces.

How It Works: Behind the Scenes of the AI-Powered Platform

The platform enables users to upload images of their web applications, which are then analysed using AI. The system generates feedback on design inconsistencies, accessibility improvements, and UX enhancements, providing suggestions that developers can implement immediately.

The project was built using:

• Frontend: React, TypeScript, Next.js
• Backend: Node.js, Express
• AI Integration: Gemini

By focusing on simplicity and function, Mika ensured that the core of the product—image analysis and feedback generation—worked flawlessly before expanding to additional features.

Building the Platform: Challenges and Insights

Developing a fully functional AI-powered feedback tool in a limited timeframe was no easy task. Mika knew that focusing on a single feature would be key.

“I simplified my project as much as possible so I could refine one key function: making image upload and AI feedback generation work seamlessly. Other aspects, such as the History or Resources page or visual polish, came later. If the core functionality isn’t strong, the rest doesn’t matter.”

This focused approach ensured that the platform wasn’t just an experiment—it became a useful tool that she could continue refining beyond the bootcamp.

Mika’s Journey: From Engineering to AI-Powered Development

Mika’s path into tech wasn’t exactly linear. She started out studying mechanical engineering but took a break during the COVID-19 pandemic. That’s when she found herself working at Tekniksprånget, a project aimed at getting more women into engineering. It was there that she connected with the AI company Sana—and something clicked.

“I sent a love letter to their Chief of Staff, Olivia Elf, and got a response within minutes. A few months later, I started an internship in business development. After just two weeks, I knew I couldn’t go back to my studies. I had to be part of this.”

After a few years working in tech sales, Mika realised she wanted to do more than just sell products—she wanted to build them. That’s when her colleagues pointed her toward Technigo.

“The only thing I regret is not doing this sooner.”

“The only thing I regret is not doing this sooner.”

Lessons Learned: Advice for Aspiring Developers

For those interested in building AI-driven products, Mika highlights the importance of experimentation and strategic learning.

“AI really is an aspiring coder's best friend. Utilize the fact that you have a personal tutor at your fingertips at all times. We're living in fantastic times! Learning to code takes effort, but it’s one of the most stimulating, creative, and rewarding careers you can have today.”

Her experience with AI-driven development proves that innovative ideas can come from personal challenges—and that technology can help bridge skill gaps in exciting ways.