标签：#ha

Experts explain how they work, what they can do, and what's still unsettled.

This is a submission for Weekend Challenge: Passion Edition What I Built I built Chaos Engine , an interactive F1 strategy simulator for people who can't stop arguing about pit calls. If you've ever watched a race with a die hard F1 fan, you know the argument happens every single weekend. "They should have pitted two laps earlier." "That undercut never had a chance." "Why didn't they just switch to the hards." Every fan thinks they'd have made the better call, and there's never really a way to settle it. That argument is where this whole project came from. You don't just watch F1, you live and die by strategy calls that happen in about four seconds on a pit wall. So I wanted to build something that actually lets fans test their gut calls against real race data instead of just yelling about it on Reddit or Twitter after the checkered flag. Chaos Engine takes real F1 races, automatically detects the moments in each one that were statistically the most dramatic (a pit stop that came way earlier or later than everyone else, a sudden pace spike, a big swing in track position), scores the whole race on a "Chaos Score," and then lets you pick one of those moments and rewrite it. Pick an alternate strategy, and the AI reasons over the real degradation curves, pit loss numbers, and traffic gaps from that race to tell you whether your call would have actually worked. Demo https://chaos-engine.ai.studio Code https://github.com/dhruvvvgg/Chaos-Engine How I Built It The whole thing runs on Google AI Studio's Build mode, using Gemini as the actual reasoning engine behind every "what if." The part I cared most about getting right was making sure the AI wasn't just generating a vibe-y paragraph. I wanted it to actually reason over real numbers, not make something up that sounded plausible. So instead of asking Gemini to freeform explain a scenario, I feed it a structured JSON block for each intervention, real pre-intervention pace data, the pit loss baseline for that race, degradat

This is a submission for Weekend Challenge: Passion Edition weekendchallenge. What I Built The project is an east-to-use application which helps user to identify deforestation in areas of interest. From the users selected area of interest, application downloads the satellite images, generates ndvi(Normalized Difference Vegetation Index), and identifies potentially deforested locations based on calculated vegetation indices. My goal was to evaluate the capabilities of AI agents in developing a complete application, production-ready with instructions provided by human. The project also explores the time required to build such an application with AI-assisted software. Demo https://huggingface.co/spaces/sgharti/crop-health Code https://huggingface.co/spaces/sgharti/crop-health/tree/main How I Built It I developed a plan for core software architecture and directed the entire application workflow including the following: Describing entire application lifecycle from user input to fastapi pipeline (GEE and Snowflake). Described the interface specification(leaflet map, design and user input) Described pipeline of how system connects to GEE, generates NDVI(Normalized Difference Vegetation Index) and stores in the Snowflake. Described the workflow of backend-frontend synchronization to read logs from snowflakes and display it on the frontend with visualization and text explanation. I decided to use Google AI (Antigravity with gemini) to build this application. Prize Categories I am applying for the Google AI (Gemini, Antigravity) and Snowflake tracks. Team Submissions: Shashi Gharti @shashigharti

There is a kind of loneliness that does not always announce itself. It can be quiet. Heavy. Hidden behind a smile. It can make someone feel as though no one truly understands what they are carrying. Dear Stranger was created for those moments. It is a place where someone can pause. Breathe. Read. Feel less alone. And maybe, just maybe, carry a little more hope than they came with. This is not just a project to me. It is a quiet promise. A small place I built with my heart. A space where words can travel gently across distance and still carry comfort. I built Dear Stranger because I believe that even the smallest page can hold something powerful: hope, clarity, warmth, and the feeling of being understood. What I Built Dear Stranger is a web experience designed to feel intimate, human, and deeply personal. It is a space where someone can open a page written by a stranger, read something honest, and feel, even for a moment, that they are not alone. The project is built like a book made of feelings. It invites the visitor to step into a calm, reflective experience where words matter more than noise. They can read pages that speak to comfort, strength, peace, and hope. They can save what touches them. They can leave behind their own words for someone else to find one day. It was never meant to be just another website. It was meant to feel like a page that was waiting for you. Demo The experience is best felt by opening it and letting it meet you where you are. It is meant to be soft, reflective, and quietly powerful. Dear Stranger - this is for you. Code The project is built with Next.js and designed as a personal, story-like interface where emotion is part of the experience. The structure allows users to move through a reading journey, interact with meaningful content, and leave behind something sincere. Konarksharma13 / Dear-Stranger Dear Stranger — A Page for You This website was never meant to be just another page on the internet. It is a quiet place made for the hea