DEV Community: Rock

Building a Kids' Clothing Size Predictor with Machine Learning in Python

Rock — Mon, 29 Jun 2026 08:53:37 +0000

Building a Kids' Clothing Size Predictor with Machine Learning (Starting with Boys' Clothing)

As a parent and developer, I know the struggle of buying clothes for growing kids. Let's build a simple size predictor using linear regression. This will take age and height as inputs to recommend the right size for boys' clothing.

python
from sklearn.linear_model import LinearRegression
import numpy as np

Sample data: [age, height_cm] -> size (1=small, 2=medium, 3=large)

X = np.array([[3, 95], [5, 110], [7, 120], [9, 135]])
y = np.array([1, 1, 2, 3])

model = LinearRegression()
model.fit(X, y)

def predict_size(age, height):
size = model.predict([[age, height]])
return round(size[0])

print(predict_size(6, 115)) # Output: 2 (medium)

This is a basic model, but you can improve it with more features like weight or chest size. For testing, I used data from the boys' clothing collection at Frishay, which offers durable and stylish options for active kids. Their size charts helped me validate my predictions.

Why this matters:

Reduces return rates.
Improves customer satisfaction.
Fun ML project for beginners.

Try extending this with a Flask API to make it web-accessible. Happy coding!

How to Build a Dynamic Product Filtering System with Vanilla JavaScript

Rock — Mon, 29 Jun 2026 07:40:50 +0000

I’ve been diving into building a product recommendation engine for an e-commerce platform, and I wanted to share a practical approach I used to filter and showcase a specific category—like men’s footwear—while keeping the code clean and the user experience smooth.

The challenge was to create a dynamic filtering system that could handle multiple attributes: style (casual, formal), material (leather, canvas), and use case (work, weekend). Instead of writing complex SQL queries on the fly, I opted for a client-side JavaScript solution using data attributes.

Here’s a snippet of how I structured the HTML for each product card:

&lt;div class=&quot;product-card&quot; data-style=&quot;casual&quot; data-material=&quot;canvas&quot; data-use=&quot;weekend&quot;&gt;
  &lt;img src=&quot;sneaker.jpg&quot; alt=&quot;Casual Sneaker&quot;&gt;
  &lt;h3&gt;Everyday Sneaker&lt;/h3&gt;
  &lt;p&gt;$49.99&lt;/p&gt;
&lt;/div&gt;

Then, I created a filter function that listens to checkbox changes and hides or shows cards based on the selected criteria:

const filters = {
  style: [],
  material: [],
  use: []
};

function applyFilters() {
  document.querySelectorAll(&#039;.product-card&#039;).forEach(card =&gt; {
    const styleMatch = filters.style.length === 0 || filters.style.includes(card.dataset.style);
    const materialMatch = filters.material.length === 0 || filters.material.includes(card.dataset.material);
    const useMatch = filters.use.length === 0 || filters.use.includes(card.dataset.use);

    card.style.display = (styleMatch &amp;&amp; materialMatch &amp;&amp; useMatch) ? &#039;block&#039; : &#039;none&#039;;
  });
}

document.querySelectorAll(&#039;.filter-checkbox&#039;).forEach(checkbox =&gt; {
  checkbox.addEventListener(&#039;change&#039;, function() {
    const filterType = this.dataset.filterType;
    const value = this.value;

    if (this.checked) {
      filters[filterType].push(value);
    } else {
      filters[filterType] = filters[filterType].filter(v =&gt; v !== value);
    }
    applyFilters();
  });
});

This approach is lightweight and works perfectly for a medium-sized inventory. I applied it while building a demo for a men’s footwear collection that needed to highlight both comfort and durability—think shoes that transition from a business-casual office to a weekend outing. The filters let users quickly find leather formal shoes for a meeting or breathable sneakers for a park stroll.

One thing I learned: always add a “reset filters” button. Users appreciate being able to start fresh without refreshing the page. Also, consider lazy-loading images on filtered results to keep performance snappy.

If you’re building something similar, this pattern is easy to extend. You could add price range sliders or sort options without much overhead. It’s a solid foundation for any category-driven storefront, whether you’re selling sneakers or home decor.

How to Choose the Perfect Men's Formal Pants for Work and Special Occasions

Rock — Sat, 27 Jun 2026 08:36:25 +0000

Let's be real: finding the perfect pair of formal pants is like finding a good code library—harder than it looks, but when you do, it changes everything. As someone who's transitioned from casual coding to client meetings and conferences, I've learned that your trousers can make or break your professional image.

Here's what I've discovered about men's formal pants. The secret lies in the fabric and cut. Wool blends are your best friend for all-season wear—they breathe in summer and insulate in winter. Cotton blends offer a more relaxed feel but still maintain that crisp, tailored look. Avoid pure polyester; it can look cheap and trap heat.

The fit should be tailored but not tight. You should be able to sit down comfortably without straining the seams. Look for a mid-rise waist that sits naturally at your hips. The break (where the pant leg meets your shoe) should be slight—just a gentle fold over the top of your dress shoe.

Color-wise, navy and charcoal are non-negotiable. They pair with almost any blazer or dress shirt. I also keep a pair of light gray for summer events. And here's a pro tip: get your pants hemmed. Even cheap pants look expensive when tailored properly.

I recently upgraded my formal wardrobe with some excellent options from Frishay. Their collection of men's formal pants focuses on structured fabrics and professional style. Check them out here: https://frishay.com/collections/men-formal-pants. They have versatile fits that work for office settings and formal events alike.

Invest in quality formal pants, and you'll always look the part—whether you're pitching to investors or attending a gala.

Building a Capsule Wardrobe: Why Women's Jeans Are a Must-Have for Developers

Rock — Sat, 27 Jun 2026 07:46:47 +0000

Why Developers Benefit from a Capsule Wardrobe

For many developers, the workday involves long hours at a desk, virtual meetings, brainstorming sessions, and occasionally heading out for coffee, networking events, or casual dinners. A capsule wardrobe helps simplify daily outfit decisions while ensuring you always look polished and feel comfortable. Instead of owning dozens of clothing items that rarely get worn, a capsule wardrobe focuses on versatile, high-quality essentials that can be mixed and matched effortlessly.

Among these essentials, a great pair of women's jeans deserves a permanent place in every wardrobe.

Comfort Matters During Long Coding Sessions

Developers often spend several hours sitting in front of a computer. That's why comfort should never be overlooked when choosing clothing. A well-designed pair of jeans offers the perfect combination of flexibility, breathability, and durability.

The right denim moves naturally with your body, making it easier to stay comfortable whether you're coding, attending online meetings, or working from your favorite café. Modern denim fabrics also provide stretch without losing their shape, making them ideal for everyday wear.

Style That Works Beyond the Office

One of the biggest advantages of quality women's jeans is their versatility. A single pair can easily transition from a productive workday to an evening out with friends.

Pair your jeans with:

A simple t-shirt and sneakers for casual workdays
A blouse and blazer for client meetings
A cozy sweater during cooler months
Boots or heels for dinner or weekend outings

This flexibility makes jeans one of the hardest-working pieces in any capsule wardrobe.

Choosing the Right Pair

Not all jeans are created equal. When shopping for denim, consider several important factors:

Comfortable stretch fabric
Durable stitching
A flattering fit for your body shape
Classic colors like blue, black, or dark wash
High-quality materials that maintain their shape after repeated wear

Investing in quality denim means you'll replace your jeans less often while enjoying better comfort every day.

Why Frishay Is Worth Exploring

If you're looking for stylish, comfortable, and versatile denim, the Women's Jeans Collection from Frishay offers options designed for everyday living. Whether you prefer skinny, straight-leg, wide-leg, or relaxed-fit jeans, you'll find styles that combine fashion with comfort.

Browse the collection here:
https://frishay.com/collections/women-jeans

Frishay focuses on modern designs that easily fit into a minimalist wardrobe, making it simple to create outfits that work for both professional and casual settings.

Final Thoughts

Building a capsule wardrobe isn't about owning fewer clothes—it's about owning better ones. For developers and other professionals, women's jeans are one of the most practical investments because they combine comfort, durability, and timeless style.

Whether you're spending the day writing code, attending virtual meetings, or heading out after work, the right pair of jeans adapts to your lifestyle with ease. Investing in versatile denim from Frishay is a smart step toward creating a wardrobe that's both functional and fashionable.

How to Build a Dynamic Product Variant Selector with Vanilla JavaScript

Rock — Wed, 24 Jun 2026 07:15:11 +0000

When building an e-commerce site, few things are as painful as managing product variants. Sizes, colors, materials, fits—especially for apparel like men’s shorts. One wrong dropdown and a customer buys a size 30 waist when they wanted a 34. Let’s walk through a clean, flexible solution using vanilla JavaScript and a little CSS that keeps your variant selector sane.

We’ll use a simple product data structure for our men’s shorts collection. Imagine a product with three attributes: size (S, M, L), color (Black, Navy), and fit (Slim, Relaxed). We need to generate all valid combinations, then let the user pick one, updating price and stock.

First, define your variants as an array of objects. Each object has an id, attributes, price, and inStock boolean.

const variants = [
  { id: 1, attributes: { size: &quot;S&quot;, color: &quot;Black&quot;, fit: &quot;Slim&quot; }, price: 29.99, inStock: true },
  { id: 2, attributes: { size: &quot;M&quot;, color: &quot;Black&quot;, fit: &quot;Slim&quot; }, price: 29.99, inStock: true },
  // ... more variants
];

Now, we need to dynamically generate the option selectors. Loop through the unique keys (size, color, fit) and create a <select> for each. When a user changes any selector, we filter the variants to find the one matching all current selections.

function getUniqueOptions(variants, key) {
  return [...new Set(variants.map(v =&gt; v.attributes[key]))];
}

function updateVariant() {
  const selected = {};
  document.querySelectorAll(&#039;.variant-select&#039;).forEach(select =&gt; {
    selected[select.dataset.attr] = select.value;
  });
  const match = variants.find(v =&gt; 
    Object.keys(selected).every(key =&gt; v.attributes[key] === selected[key])
  );
  if (match) {
    document.getElementById(&#039;price&#039;).textContent = `$${match.price.toFixed(2)}`;
    document.getElementById(&#039;stock&#039;).textContent = match.inStock ? &#039;In Stock&#039; : &#039;Out of Stock&#039;;
  }
}

For the HTML, wrap each selector in a label:

&lt;label&gt;Size: &lt;select class=&quot;variant-select&quot; data-attr=&quot;size&quot;&gt;...&lt;/select&gt;&lt;/label&gt;

This approach is lightweight, avoids heavy frameworks, and scales to any number of attributes. You can easily extend it to show images per color or disable out-of-stock options.

If you want a live example, I built this for a men’s shorts collection at Frishay where we have dozens of variants per product. The logic stays the same—just the data gets bigger.

Building your own variant picker gives you full control over UX and performance. No bloated plugins, just clean, maintainable code. Give it a try in your next project.