From Concept to Product —  Journey of developing and deploying my hobby project

Development to deployment story of my project dreamery.ai

From Concept to Product —  Journey of developing and deploying my hobby project

Dreamery — Transform yourself with AI.

From Concept to Product: Journey of developing and deploying dreamery.ai — my hobby project

Development to deployment story of my AI product dreamery.ai

As someone who lives and breathes code, I’ve always been busy building stuff. With all this new generative AI hype, I also wanted to build something that’ll qualify as an “AI Product”.

I have built microservices that I can reuse on my different pet projects. But that was all on my local. Everyone knows how complicated microservices are, especially in production, if they are not done right 💀

Despite all that, I had a thought — what if I took my love for microservices and mixed it up with some AI wizardry? And just like that, the adventure began.

Picture this: a world where a pet project isn’t trapped in a monolithic maze but struts its stuff through several slick microservices, each doing its cool thing. That was my vision. Break it down, keep it modular, and let every little service have its party. Why settle for a dull monolith when you can have an AI carnival? 😁

That’s how https://www.dreamery.ai was born. For a quick overview — dreamery is a web app that lets you transform your selfie into anything you imagine using stable diffusion in the core. Isn’t this cool? With a few clicks, you can generate professional headshots or some fantasy version of yourself. Dreamery is the best ai headshot generator out there 😉

Stay tuned for more techinal stuff where I’ll explain how it was built and deployed 💚

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