AI Tinkerers Hackathon Project Gallery - AI Tinkerers - New York City Hackathon
AI Tinkerers - New York City
Final round winners have been announced. View Results

Entries

Browse submitted projects, teams, and winners.

59 Entries
Entry Description Team Status
Team of Datadog experts including a Director of AI, Applied Scientist, and Senior PM, specializing in AI agents, ML Ops, and Cornell/UVA-educated engineering leadership. 1st Place
Team of Cornell Tech CS grad students and ex-TikTok/Grubhub engineers skilled in Python, PyTorch, React, and agentic workflows for AI, urban, and spatial applications. 2nd Place
Build taste into multimodal models 3rd Place
GUI for communicating website design with claude code. https://discord.gg/7q7Jb7b6 Finalist
Team consisting of a UCLA Mechanical Engineering/Data Science student, a UPenn-educated Prodex Labs AI engineer, and a UVA CS-educated Fractal software engineer. Finalist
Planscape.ai converts natural language plans into interactive dependency graphs, letting visual edits drive AI validation and Redis-backed memory. Submitted
Team led by a former ICONIQ Capital finance professional and Wake Forest alumnus, now founding a decentralized protocol and building AI-enabled productivity tools. Submitted
Team consisting of a Sandbar founding engineer and an AI research engineer with Cornell, Northwestern, and NJIT degrees, specializing in full-stack, hardware prototyping, and ML. Submitted
Team consisting of an AI Engineer/Owner with 15+ years in data architecture (GCP, Python, SQL) and a Data Scientist skilled in Streamlit and Dash. Submitted
Earn money by sharing your idle GPU compute with friends through our web app’s public endpoints. Submitted
Our team ships quarterly products specializing in Node, CyberSec, and Quantum Encryption, led by a veteran ethical hacker. Submitted
Debug codebases and analyze version history spatially with Ornithic Editor, an immersive 3D environment visualizing file structures as navigable trees. Submitted
You I/ You Ex is the new UI/UX Submitted
Team led by a Cove Founding Engineer and UW Informatics graduate with 7 years of full-stack experience building consumer AI-native apps and IoT prototypes. Submitted
Build a Javascript Game Editor that lets you develop the game during gameplay. Join me to add scope and make it multiplayer. Submitted
Surface hidden connections across your media as spatial objects by collaborating with Muse Board’s integrated real-time AI. Submitted
Team consisting of an AI engineer from Credit Genie, a CMU-trained automation specialist from Lifetime Brands, and a veteran Microsoft Research game developer. Submitted
Getting MCP Apps running in WebXR via a voice AI agent. Submitted
Team consisting of an NYU CS MS and JPMC software engineer alongside a Stevens ML MS engineer specializing in LLM quantization, RAG, and full-stack development. Submitted
Sculpt Claude’s raw responses into precise results using intuitive gestures instead of repetitive, manual re-prompting. Submitted
Team consisting of a CUNY PhD researcher, a Stevens MS graduate, and a StradIT full-stack engineer skilled in NLP, Python, React, Rust, and Docker. Submitted
Team led by an Apple Product Designer and PM with 1-2 years of experience in Python, C++, TypeScript, and DevOps. Submitted
Team of senior engineers from Figma and HP (via Humane) with CS degrees from Penn and Cornell, specializing in full-stack TypeScript, backend, and consumer AI. Submitted
Team consisting of NYU ITP graduate students specializing in full-stack web development, React, Three.js, Swift, creative coding, and hardware-software AI prototyping. Submitted
Team led by an NYU MSCS student specializing in computer vision and ML pipelines with experience in YOLO, time-series forecasting, and production-grade data science. Submitted
Team led by a DrakoAI founder, Equinox trainer, and mechanical engineer with expertise in local LLM orchestration, data pipelines, and predictive analytics. Submitted
I would like to create an app that generates interactive and visual lessons for learners. Submitted
Resolve complex technical issues locally with our RAG-driven autonomous agent, ensuring total privacy and human-in-the-loop security. Submitted
Exploring genUI for agentic multimodal interaction (e.g. Opus 4.6 for OpenClaw) Submitted
Gain transparency into Vibe Coding through our Mise en Place inspired app, detailing the reasoning behind every stack choice. Submitted
Team consisting of a Fordham graduate researcher, a Meta AI infra engineer, a Datadog SWE, and an XBTO data engineer skilled in PyTorch, C++, and kdb+/q. Submitted
Team consisting of Columbia and Stevens professors, an ex-Meta founder, and a NYU MS CS Lead Solutions Architect building agentic AI, computer vision, and RAG. Submitted
Team led by a Vantage Data Design Technologist with a Parsons MS in Data Visualization, skilled in React, Three.js, GLSL, and multi-modal AI agents. Submitted
Team led by a Goldman Sachs Quant Head and AI Engineer with a UCSD Math-CS degree, specializing in credit analytics, stochastic calculus, and Python. Submitted
Team led by a Columbia-educated founder and full-stack developer with 4,000+ GitHub contributions, specializing in TypeScript, Next.js, and AI API integrations. Submitted
Our metaMe Runtime Experience Aigent converts intent into deterministic rendering decisions, precisely selecting and assembling layouts within your constraints. Submitted
Team consisting of an Amazon Senior SDE and a Penn State Data Science graduate specializing in AWS, Python, ETL pipelines, real-time trading systems, and ML. Submitted
We use agentic frameworks and Claude to build live, interactive user interfaces directly from plain English descriptions. Submitted
Team led by a Good Inside software engineer skilled in full-stack TypeScript, React, D3.js, and building production-grade AI interfaces. Submitted
City Right Now uses Claude to transform your queries into dynamic, real-time NYC data dashboards with custom generative layouts. Submitted
Team led by a Datadog Engineering Manager with a Georgia Tech MS in CS (ML focus) specializing in full-stack, distributed systems, and agent development. Submitted
Team consisting of an ESCP-grad AI founder, a Cornell Tech entrepreneurship instructor, and an NYU Stern-grad CEO, skilled in Rust, Python, and hardware prototyping. Submitted
Team of Stony Brook MS Data Science builders with experience at Deloitte, Oracle, and KPMG, specializing in RAG, agentic workflows, GNNs, and multimodal AI systems. Submitted
Team led by a Columbia CS professor and OneEleven principal engineer, partnering with an ex-Goldman Sachs founder to build AI-enabled spreadsheet and spatial design workflows. Submitted
Team led by an NJIT Data Scientist and AI Engineer skilled in multi-agent orchestration, PyTorch, and real-time voice-agent consensus architectures. Submitted
Perfect your 45-second professional intro with Adaptive Pitch Arena, which dynamically adapts your workspace to target specific weaknesses. Submitted
Team led by a Stevens CS student experienced in Python ML pipelines, scikit-learn, and Java, specializing in NLP and end-to-end model development. Submitted
Team led by an AI builder and product designer with 15 years of experience, specializing in AI-first design workflows, gamification, and Chrome extension development. Submitted
Team led by an MSCS graduate from Stevens and Applied AI Engineer skilled in real-time voice APIs, agentic architectures, and model fine-tuning. Submitted
Team consisting of a Fordham CS student, 6x hackathon winner, and former AWS SDE intern skilled in full-stack development, Python, React, and cloud-native AI. Submitted
Team consisting of NYU CS and Data Science master's students, featuring an ex-PepsiCo data scientist and a senior software engineer with 4+ years of industry experience. Submitted
Team consisting of an Oxford PhD/ex-McKinsey technical founder and a Penn M&T dual-degree student with three AWS internships, specializing in production ML, RAG, and cloud-native systems. Submitted
Refine your startup’s fundability by stress-testing ideas with VCs, CFOs, and users on our collaborative, community-driven platform. Submitted
Help builders turn fuzzy concepts into actionable, implementation-ready plans using our structured, persona-guided AI prompt framework. Submitted
Team led by Columbia CS students working on AI Engineering and Product Designing. We innovate to make AI integration powerful, supportive and seamless. Submitted
Team consisting of NYU, Stevens, and Harvard grads with expertise in computer vision, full-stack mobile apps, and enterprise backend systems using PyTorch, Flutter, and Go. Submitted
Team led by Jasmine Poon, an Ontra AI Engineer and Stanford MS&E grad skilled in LLM evaluations, agent tool use, and Python-driven NLP systems. Submitted
Team consisting of NymbleAI co-founders, featuring a Johns Hopkins biophysics graduate and a Yeshiva CS alumnus skilled in Python, LLM orchestration, and multi-agent systems. Submitted
Zerah organizes your life within a 3D particle sphere, using bilingual voice interaction and an intuitive spatial-temporal orrery. Submitted