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  3. Bountiful
Matthew Kirkhamabout 1 hour agoContributorJudging locked: Event build

Bountiful

Turn every market in to a shop

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Project description
As somebody who loves to travel around Asia, it's always very difficult to buy local. We use the video understanding models to convert video footage of markets into real high-quality e-commerce stores so that local people can reach travelers and expats, investing more dollars into local economies.  Built today on the event stack: walkthrough videos go into our team's VAST S3 bucket; on the workshop VM each video is cut into 5-second pieces, NVIDIA Cosmos Reason on CoreWeave GPUs lists every item for sale, Llama 3.3 70B on Weights & Biases Inference turns that into clean catalogue entries, Cosmos Embed1 indexes every item and moment, and it all lives in VastDB. The shop reads that catalogue: 97 pieces from markets in New York, Bali and Chiang Mai, each linked to the exact 5 seconds it appears on camera. A 60-second walkthrough takes about 90 to 120 s of compute on one worker and scales out linearly.
Tools used
  • VAST Data logoVAST Data
  • NVIDIA logoNVIDIA
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
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Project links
  • GitHub repository
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  • Demo video
Tools used
  • VAST Data logoVAST Data
  • NVIDIA logoNVIDIA
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)