I built wildlife detection systems for railway tracks at ISRO.

The goal was simple: stop trains from hitting animals.

That project changed how I think about AI.

Most AI discourse is about chatbots, image generators, and productivity tools. But some of the most important applications are in climate and conservation — satellite imagery for deforestation tracking, weather prediction models that outperform traditional forecasting, energy grid optimization, wildlife monitoring.

Google's GenCast already beats traditional weather models. There are teams using computer vision to count endangered species from drone footage. Others optimizing wind farm placement with ML.

The planet doesn't need another chatbot wrapper. It needs engineers who point these incredibly powerful tools at problems that actually matter.

If you're looking for AI work that lets you sleep well at night, environmental applications are wide open and desperately understaffed.

What environmental problem would you solve with AI if you had unlimited resources?