HackPrinceton Spring 2026 · Knot API track, 1st Place
A mirror on your delivery habits. Pulls six months of real DoorDash / Uber Eats orders via Knot API, decomposes each dish into ingredients with K2 Think V2, generates a weekly home-cooked plan respecting calendar and dietary constraints, and pushes the exact ingredients to a real Amazon Fresh cart in one tap.
Next.js 15 + React 19 on Vercel; FastAPI on Cloud Run; MongoDB Atlas
Knot API in production mode: TransactionLink for delivery history, AgenticShopping for real Amazon Fresh cart push (checkout intentionally stubbed)
K2 Think V2 for weekly plan reasoning; Gemma 4 31B for photo recognition and check-in classification
Photon spectrum-ts bridge for live iMessage orchestration during the demo
Next-Gen Hacks Beta · Spring 2026 · Judging in progress
Bilingual (EN/KO) restaurant discovery built around two ideas: voice-first filtering on a 3D map, and an AI phone agent that calls restaurants for you. Speak a query, the map sinks non-matching food into the ground; pick questions (reservations, vegetarian, wheelchair access...), click "Call N selected," and watch real Twilio calls return ✓/✗/? per question.
Next.js 16 + React 19 + Tailwind 4 frontend; MapLibre GL + Three.js for the 3D scene
FastAPI on Cloud Run; Google Places API (New) for restaurant data, dedup'd across 7 cuisine groups
Precision Neuroscience BCI Hackathon, 1st Place ($1,000)
Real-time neural activity visualization and BCI array placement guidance system. Processes live data from a 1024-channel micro-ECoG array (32×32 grid) to help neurosurgeons optimize BCI array placement during surgery.
CNN-based denoising (ResNet U-Net with CBAM attention)
Kalman filter and EMA-based position tracking
Real-time heatmap smoothing with configurable web UI
End-to-end MLOps pipeline as a 32-block, 42-edge parallel-converge DAG inside the Zerve canvas: schema/leakage validation → EDA + 15-stage funnel → a 5-candidate AutoML pool → drift detection → champion picked for serving → weekly retraining loop. A Next.js frontend renders the DAG and calls a deployed FastAPI for live inference, reading canvas variables in real time.
5-candidate model pool: calibrated XGBoost + RF + HGB soft-vote ensemble, PyTorch tab-MLP, sklearn GBM — isotonic calibration throughout
Social reading platform that transforms solitary reading into a connected experience. Readers highlight passages, discuss with friends, make story-branching choices (Detroit: Become Human style), and explore an AI-generated solar system visualizing reading compatibility.
Next.js 16, React 19, Three.js for 3D planet visualization
FastAPI backend with Firebase Firestore and ChromaDB
Google K2 Think V2 for AI content, Gemini 2.0 Flash for voice Q&A, Vertex AI Imagen for illustrations
Next.js 16React 19Three.jsFastAPIFirestoreChromaDBVertex AI