tokens&
BrowseFor enterprises
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Startup credits and perks
  • Agent Skills
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Hackathon
  2. Project gallery
  3. Praxis - Find my Car
Rajat Mahesh Gupta10 days agoContributorJudging locked: Event build

Praxis - Find my Car

Praxis — Find my Car is a video agent for people who lose a car in dense street parking or residential blocks. Instead of scrubbing hours of camera footage, you ask in natural language.

Review the project

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
View GitHub repository
Visit project websiteWatch demo videoProject gallery
Demo video
Watch demo video
Project description
We built on the VAST Builders Challenge stack: neighborhood and street cameras already indexed in our team VSS archive. Search uses Cosmos Embed hybrid retrieval over segment captions; Cosmos Reason supplies the descriptions we search and summarize; YOLO detections help filter vehicle-related moments. Cursor skills drove login, search, agent Q&A, and optional re-ingest when we needed captions tuned to parked cars and curb activity. App logic runs on top of the VSS APIs so the demo is search → evidence clip → answer, not a rebuilt ingest pipeline.
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