Akash Nath
@Akash_nath29
Akash Nath
@Akash_nath29
ML Developer | Collecting Skills
ML Developer | Collecting Skills
Kalyani, India
Devfolio stats
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This project aims to detect and highlight deceptive design patterns (dark patterns) on websites. Dark patterns are UI/UX strategies used to manipulate users into making unintended decisions, such as forced subscriptions, hidden costs, misleading urgency, or FOMO tactics. The Problem: Many websites use psychological tricks to increase conversions at the cost of user trust and autonomy. Users often don’t realize they are being manipulated until it’s too late. The Solution: This project automatically scans web pages, detects potential dark patterns using a deep learning model, and visually highlights them. The AI classifies deceptive elements with confidence scores, using color-coded warnings (green for low certainty, red for high certainty) to help users identify manipulative tactics at a glance. Impact: > Empowers users by making manipulative design tactics transparent. > Increases awareness of deceptive UI/UX practices. > Encourages ethical web design by exposing dark patterns. In short, this tool helps fight against deceptive digital practices and promotes a more transparent, user-friendly internet.
Medium Posts
Medium Posts
Perplexity’s $34.5B Chrome Bid: Genius Move or Billion-Dollar Bluff?
akashnath29.medium.com
Perplexity Buys Chrome? Index Introduction — The $34.5B Shockwave A David with a King’s Ransom The Legal Storm Over Mountain View Comet: The Crown Prince Echoes of Musk Bluff, Battle, or Both? The AI Browser Wars Risks and Realities Win or Lose, a Win The Opening Salvo Sources The $34 Billion Shockwave On August 12, 2025, Alphabet CEO Sundar Pichai received an unexpected message in his inbox amid the quiet bustle of Mountain View’s corporate towers. It wasn’t from a tech tycoon like Satya Nadella, a bo...
How I built an Autoencoder with ONLY numpy
akashnath29.medium.com
Have you ever wondered how AI can learn to compress and reconstruct data — just like how your brain processes images and sounds? Picture this: You give a machine a massive image, and it figures out how to squish it down into a compact version, keeping only the essential details. But when you ask it to restore the image, it brings it back almost exactly as it was, with remarkable accuracy. Sounds like magic, right? Well, it’s all thanks to autoencoders, a powerful concept in deep learning. Let me take you...
Let’s Generate Images using GAN
akashnath29.medium.com
Introduction Ever wanted to generate cool images using AI? No, I am not talking about any existing Saas product or any API, I am talking about creating the network by YOURSELF!!! Today I will walk you through the necessary steps to create a working Generative Adversarial Network, also known as GANs. So without furthur a do, let’s dive into this. Generative Adversarial Network A Generative Adversarial Network, a.k.a GAN has two main parts: Generator, and the Discriminator. The Generator generates image fr...