Entries
Browse submitted projects, teams, and winners.
17 Entries
| Entry | Description | Team | Status |
|---|---|---|---|
| Car Dealership recommendation: Recommends users links to car dealership sites based on the picture. | 1st Place | ||
| Team consisting of an NYU data engineer (The Warehouse Group) expert in RAG/LangChain, LangGraph, GCP GPUs, PySpark, and a CMU frontend engineer (React, JavaScript, Python). | 2nd Place | ||
| Team consisting of Xavier Huang (Founder, Mandi Tech; AI R&D — web/mobile, Python/JS, adaptive tutoring) and Lyndsay Goldfarb (Owner, XL Marketing; event/project director). | 3rd Place | ||
| Fine-tune Gemma on podcast transcripts, use A2A for debates, leverage Podskim fact-checks; seeking two ML/fine-tuning collaborators. | Finalist | ||
| ORCAST provides real-time orca behavioral forecasts, AR-guided encounters, and crowdsourced sightings to aid conservation of 73 Southern Residents. | Finalist | ||
| Yoree empowers experienced day traders to enter crypto with AI-generated strategies using live market data and specialized agentic AIs. | Finalist | ||
| Building Sage AI | Submitted | ||
| Team consisting of AI engineer Benito Geordie (ThirdAI) and NYU analyst Hubert Leo, building scalable ML and desktop agent/UI-automation tools using JS, Python, C++. | Submitted | ||
| An AI co‑founder that turns raw ideas into hypothesis‑driven surveys and a connected knowledge map. | Submitted | ||
| FestivAI automates worldwide festival travel and event planning via agentic AI (Gemma-integrated), delivering scalable, real-time, autonomous coordination. | Submitted | ||
| Team consisting of PIVOTtag CTO (NYU): recommendation engines, RDF/KGs; Benjamin Moore ML intern (Stevens): GenAI, PyTorch/TensorFlow; DraftKings SWE (UT Austin): Kafka, low‑latency C++/.NET | Submitted | ||
| Team consisting of Amedeo Ercole (UMD; Google‑backed RL researcher and FDSE at RGB HK — Bayesian RL, GPUs) and Olivia Moody (NYU; server engineer intern). | Submitted | ||
| Team consisting of Frank Ivey (AI/Big Data), Jean‑Ezra Yeung (COO, CShell Health), Purabh Singh (Rutgers), Toren Long (Capital One intern) — Python, LangChain, SQL, OpenSearch. | Submitted | ||
| Accelerate patentable innovation with IPAigent: agent-driven drafting, whitespace analytics, asset identification, and AI commercialization for market-aligned IP. | Submitted | ||
| Team led by Dhruv Sharma, Ph.D. (ENS, École Polytechnique), MSCI Director—expert in LLM internals, agents/RL, vector search, C++/Python, portfolio optimization and risk analytics. | Submitted | ||
| Team consisting of Noblis software developer Cobe Liu (Macaulay Honors College; Python, RL, multi-agent systems, React, AWS) and Hunter College HS UX/UI student Arun Rebello. | Submitted | ||
| Team consisting of Cranium AI interns from Penn State and FSU plus a Northeastern CS+AI founder — skills: AI security/red‑teaming, LLM QA, TypeScript, Python, Unity | Submitted |
