ivanseidel/IAMDinosaur

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2804 stars · 533 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Node.js application that uses neural networks and a genetic algorithm to teach Google Chrome's offline dinosaur game to jump cacti autonomously. It reads game pixels from the screen via RobotJs and evolves a population of 12 genomes through selection, cross-over, and mutation.

Use cases

• teach an AI to play the Chrome dinosaur game
• learn how genetic algorithms evolve neural networks
• demo of neuroevolution for a simple game
• experiment with fitness-based genome selection
• educational example of AI playing a browser game

When to choose

• you want a hands-on, visual introduction to neuroevolution
• you need a small, readable codebase demonstrating genetic algorithms with neural networks
• you want an educational demo linking screen input to an AI agent

When to avoid

• you need a production-grade reinforcement learning framework
• you want headless automation without screen capture
• you need a maintained or actively developed project (last release 2018)
• you require cross-platform guarantees, since RobotJs can be difficult to build

Facets

application · maturity maintenance

machine-learning simulation workflow-automation artificial-intelligence machine-learning gaming-tools education windows neural-network genetic-algorithm reinforcement-learning chrome-dinosaur synaptic robotjs screen-scraping nodejs macos linux desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ivanseidel/IAMDinosaur")