I'm a 14-year-old developer balancing full-time studies with building digital ecosystems and intelligent hardware.
My most notable project to date is Urbemo, a city pulse intelligence system that recently ranked 5th out of 2,500+ projects all-over India at the Google Lakecity Hackathon in Udaipur.
As an entirely self-taught developer, the hardest part of Urbemo was architecting the real-time data ingestion pipeline. It took me days of deep research, trial, and error to figure out how to fetch live environmental data from the internet seamlessly. I eventually conquered it, building a custom Node.js backend structured and hosted on Render.
I am also actively building Elyor with my teammates. The vision here is hardware-software integration—we are engineering premium, high-quality smart hair straighteners aiming to deliver Dyson-level quality and intelligent thermal control at a significantly more accessible price point.
Right now, my primary focus is rebuilding Urbemo into Urbemo 2.0, completely overhauling the architecture, UI, and feature set. Alongside that, I am diving deep into AI research, working on embedding custom artificial intelligence models into my ongoing web platforms.
My journey didn't start in a code editor; it started with wires. I spent my early days tinkering and building physical hardware projects. Eventually, my curiosity shifted toward software. I picked up Python, which served as my gateway drug into the world of Web Development... a field I quickly fell in love with and poured my heart into.
I manage my studies and my development work entirely on my own. It hasn't been a straight path. I have failed countless times, spending frustrating hours debugging broken logic on Urbemo and my other platforms, but that grind is where the real learning happens.
Recently, I was given the opportunity to showcase my work at our school's AI Fest. I built and presented Sunbeam AI—a custom artificial intelligence assistant that I designed, trained, and deployed completely from scratch.
Beyond the Google Hackathon, that hands-on approach to problem-solving recently helped me compete in a District Level Science Fair, where I was selected for the Division Level Finals out of 317+ participants, landing a spot in the top 15 finalists.
An AI-integrated city pulse system analyzing urban emotions through live traffic, noise, and air quality data.
Premium hardware-software integration focusing on intelligent thermal control and military-grade IoT sensors.
I'm always open to discussing web creation, debugging issues, or brainstorming new tech. Let's connect.
kartikeyaverma21@gmail.com · GitHub