This presentation describes an interactive data system and platform used to apply a deep learning artificial intelligence model to images collected at a fixed interval from inexpensive trail cameras, turning them into quantitative data. We demonstrate its use for several environmental monitoring applications including streamflow, algal blooms, ice and snow cover, and wildlife population density. Our system is novel in its ease-of-use and flexibility. We showcase the benefits of training multiple models on the same image timeseries to evaluate environmental processes. We solicit feedback on ways to make this system even more flexible and easy to use.