The TaxonBodyMassML Project

This website and the predictive algorithms it uses were created as part of a senior capstone project at Oregon State University; here are some of the details!

Project Description

Body mass is one of the most powerful predictors of species behavior, interaction, and ecological impact; however, most species on Earth still do not have recorded body mass measurements. Since it is difficult to get a reliable measurement of species mass for unmeasured species, a close estimation would be valuable to ecologists.

Key Features

  • Generate mass predictions for species with unmeasured masses
  • View associated confidence intervals for each prediction
  • Query large datasets of species simultaneously using a .csv
Video Demonstration

How Do I Try It Out?

If you have made it this far, you’re just a click away from trying out our project! In the top left of the navigation bar at the top of the screen, simply press the ‘Home’ button to be taken to the main UI point of TaxonBodyMassML. Go ahead and experiment with our body mass prediction algorithms!

Meet The Team

This is the crew that brought the TaxonBodyMassML project to life in the 2025-2026 academic year:

Hailey Prater - Front-End Engineer

GitHub: praterh

Grant Pasquantonio - Machine Learning Engineer

GitHub: pasquang

Anish Chowdary Pendurti - Machine Learning Engineer

Mark Novak - Project Partner

GitHub: marknovak

If you run into any technical issues with the website, please email Hailey at haileyprat59@gmail.com