I kept asking,
“wait, how does that work?”

That question is why this blog exists. AI and code can feel like a lot from the outside. I wanted a place to slow down, follow one question at a time, and share what I find.

Learning
Python, and how websites work
Exploring
AI and machine learning
Writing
What clicks, one post at a time

So, what’s this place about?

I’ve always had a lot of questions about how things work. AI and machine learning especially caught my attention. The idea that a computer can learn from examples felt fascinating, and I wanted to understand what was happening behind the scenes.

This blog is where I follow those questions. I write about what I’m learning as I look for answers, and the ideas and projects that help me understand a little more.

Think of it as my questions, notes, and little wins, all in one place.

If something here helps an idea make sense for you, then the blog is doing exactly what I hoped it would.

What you’ll find here.

How I learn, as code.

Ask, try, get it wrong, try again. Eventually it clicks.

The AI by Bhavini logo: a swan drawn from ASCII characters with a Fibonacci spiral through its wing

A fun fact about the logo.

The swan brings a little femininity and grace. It’s made from ASCII characters, a little token of my love for computer science, and shaped around a Fibonacci spiral because there seems to be a little maths layered into everything. I love experimenting and blending different worlds together.

  • Swan femininity and grace
  • ASCII computer science
  • Fibonacci spiral mathematics
Bhavini

Hi, I’m Bhavini!

Welcome to my corner of the internet where ideas, equations, and experiments come together. This blog is about artificial intelligence, machine learning, and the mathematics behind them, along with the projects I build while trying to understand how it all works. I write about the concepts that fascinate me, the problems that stump me, and the lessons I pick up along the way. I started exploring this space because I'm fascinated by how far technology has come, and I found that the best way to truly learn something is to build it and then explain it to others. That's what I'll be trying in my blogs, breaking down complex topics.

Whether you’re just getting curious about AI or already deep into the theory, I hope you’ll find something worth your time. Thanks for stopping by. Explore, ask questions, and reach out. I’d love to hear what you’re working on!

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