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. SHOO
kimberley.soplabout 11 hours agoContributorJudging locked: Event build

SHOO

Turns a spare iPhone into a pest sentry. It watches through the camera, identifies the animal on-device and plays a deterrent chosen for that species. Every visit is logged with a snapshot.

Review the project

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

View GitHub repository
Visit project website
Demo video
Watch demo video
Project description
SHOO turns a spare phone into a private, AI-powered pest sentry. Point it at a balcony, garden or bin store and it uses an on-device vision model to recognise pigeons, gulls, foxes, rats and squirrels. When it spots one, it plays a deterrent sound chosen for that species and randomised so animals don't get used to it. It holds fire when people, pets or hedgehogs are in view. Every visit is logged with a snapshot. You can search hours of recorded footage in plain language ("show me every pigeon today"), ask what happened overnight, and set simple rules like "if a fox comes at night, flash the lamp and notify me." A dot-matrix bot face reacts to what it sees, and there are two themes: a clean Nothing-style look and a red "Slasher" horror look. It all runs on the phone, with no account, no cloud and no uploads. Uses large cloud models for back up and processing. It's available as a native iPhone app and as a web app you can add to your home screen at https://shoo-web-production.up.railway.app.
Tools used
  • VAST Data logoVAST Data
  • NVIDIA NIM LLM APIs logoNVIDIA NIM LLM APIs
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
Watch demo video
Project gallery
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VAST Data logoVAST Data
  • NVIDIA NIM LLM APIs logoNVIDIA NIM LLM APIs
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)