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  3. Grokham
J O (JH)about 10 hours agoContributorJudging locked: Event build

Grokham

Grokham turns video(live stream) into a connected city view: query footage, detect objects, follow partial vehicle tracks, and watch live NYC cameras on a 3D Google map as neighboring VLM camera agents talk.

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Start with the source code, then open the demo or video if available.

Tools used
  • VAST Data logoVAST Data
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA
  • GMGoogle Maps
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Demo video
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Project description
Grokham brings video search and live street intelligence into one interactive console. Query indexed footage in plain language, play matching clips, and ask grounded follow-up questions. Detect objects with YOLO11s and follow partial vehicle tracks with 3D map overlays. LIVE from NY streets: explore NYC camera feeds on an interactive 3D Google map, with linked camera selection, video, detections, and chat. Our creative feature is inter-camera VLM agent communication: one camera reports what it sees; its two nearest neighbors reply from their own video summaries. Compact yellow speech bubbles and highlighted cameras make the exchange visible on the map. Built on the challenge stack: VAST Data / NVIDIA VSS for indexed video retrieval, NVIDIA Cosmos for visual reasoning, CoreWeave-hosted GPU inference, and Cursor for development. A unified UI connects query, detection, partial tracking, maps, and camera-agent dialogue.
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VAST Data logoVAST Data
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA
  • GMGoogle Maps