ItsNoise

At ItsNoise, I focused on developing a solution to the modern noise (excess biased information designed to distract rather than inform). By leveraging AI-driven technology and custom-built frameworks, ItsNoise refines and clarifies information, stripping away bias and revealing transparency. This project was born as a passion project for helping people critically understand the media they consume and recognize how narratives shape their perceptions. The first release under ItsNoise is Headlines, a tool that analyzes news articles by simply inputting a URL, offering an insightful breakdown of key claims, contradictions, and underlying narratives.
Business
Journalism
Date
November 2024 - December 2024
Role
Founder

What is ItsNoise?

ItsNoise is built to tackle the growing challenge of information overload and media manipulation. In an era where digital content is designed to capture attention rather than inform, ItsNoise provides clarity by leveraging AI-powered technology to analyze, refine, and present information transparently. The goal is to help users understand not just what they are reading, but how narratives are being shaped and influenced.

By developing custom AI frameworks, ItsNoise automatically dissects media content, identifies contradictions, and highlights key takeaways, allowing users to engage with information more critically. This project was created to empower individuals with a deeper awareness of how content is structured, ensuring they have the tools to think independently in a world dominated by noise.

The first product released under ItsNoise is an AI-driven tool that enables users to input a news article URL and receive an in-depth analysis of the article’s key claims, biases, and contradictions. This tool serves as a first step in a larger mission to redefine how people interact with and process media.