Asynchronous pair programming for teammates split across time zones. A post-commit git hook captures development context — commits, diffs, and developer notes — at the moment of every commit. The web app turns each handoff into AI-generated scenarios that predict what your teammate will hit next, plus a contextual AI chat scoped to the full git history. Author a scenario, hand it off, and review AI-generated code changes in a side-by-side diff. The entire project was built inside IBM Bob, IBM's AI-native IDE — the premise of the hackathon.
Built end-to-end in IBM Bob, IBM's AI-native IDE — the hackathon's core theme
Next.js 14 (App Router) + TypeScript web app; CLI tool built with Commander, installed via npm
`asyncpair init` installs a post-commit git hook that runs `asyncpair capture`, extracting commits, diffs and notes through simple-git
Gemini generates handoff scenarios and powers a contextual AI chat scoped to the full git history
Author → Handoff → Pairing workflow; review and approve AI-generated code changes in a side-by-side diff view
IBM Bob IDENext.js 14React 18TypeScriptTailwind CSSCommandersimple-gitGeminiJest
Hackathon·2026·HackPrinceton Spring 2026·1st Place ($500)
Flanner
Knot API track
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
Hackathon·2026·Next-Gen Hacks Beta · Spring 2026·Submitted
MotZip
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
Hackathon·2026·Precision Neuroscience BCI Hackathon·1st Place ($1,000)
BCI Neural Visualization System
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
Hackathon·2026·Remy Hackathon 2026·2nd Place ($1,000)
Trippo
Replaces the group chat for the duration of a trip. A single trip room captures plans, photos, and tickets live; chat messages drive plan updates in real time, EXIF + GPS clusters photos by place and minute, and one tap turns the trip into a 1, 3, or 5-minute vertical recap reel for TikTok / Reels / Shorts.
TypeScript backend on @mindstudio-ai/agent for DB + AI primitives; React + Vite mobile-first frontend
Chat is the planner: Claude Sonnet extracts plan updates from messages in real time, Haiku polishes captions
Photo clustering by EXIF + GPS: same place and minute groups into split-screen, distinct stops become animated map pins
One tap renders a vertical 9:16 recap reel via Creatomate for TikTok / Reels / Shorts
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
A segment-level video recommendation engine. Paste a YouTube URL and SegRec downloads it with yt-dlp and indexes it through the Twelve Labs API, auto-generates a clickable chapter timeline, and — when you click a chapter — finds and ranks similar moments across every indexed video, jumping playback straight to them. Built for the Video Understanding AI Hackathon at Northeastern around Twelve Labs' video foundation models.
FastAPI + Python 3.11 backend; Vite + React + TypeScript + Tailwind CSS frontend with react-player playback
Twelve Labs API for video understanding — Marengo embeddings for segment similarity, Pegasus for chapter generation
Paste a YouTube URL → yt-dlp downloads it → auto-generated, clickable chapter timeline
Click a chapter to surface ranked similar segments across the whole library, jumping playback straight to each match
An Ideathon concept for shared-living harmony. CoHabitAI proposes an AI manager that defuses the everyday friction of roommate life — chore turns, unpaid rent, clashing schedules — by distributing tasks fairly, syncing everyone's calendars, tracking shared supplies with auto-reorder alerts, and sending smart reminders so nothing slips. Presented as the team's pitch for the LikeLion US 2025 Ideathon.
Concept: an AI agent that distributes chores, coordinates schedules, and mediates roommate disputes fairly
Proposed features — calendar integration, a shared-supplies tracker with auto-reorder alerts, smart reminders, and a household onboarding flow
An AI-powered virtual camera for video calls. EchoBoard transcribes the live conversation with speech-to-text, uses an LLM to detect the current topic, and composites a matching advertisement or branded background behind the speaker with real-time face detection — so what's on screen always echoes what's being discussed. Built as a 2025 Dream AI Hackathon project.
Python 3.11; pyvirtualcam streams the composited feed into Zoom as a virtual camera, set up through OBS Studio
Live speech-to-text plus Google's Gemini detect the conversation topic in real time
OpenCV face detection overlays a topic-matched advertisement or branded background behind the speaker
PythonOpenCVpyvirtualcamGeminiSpeech-to-TextOBS Studio