Indian-Origin Sixth-Grader Achieves 89% Accuracy in Lithium Detection Model
Ishaan Dokania, a sixth-grader from Oregon, developed a machine-learning model using satellite imagery to identify lithium deposits with 89% accuracy. He improved the model by addressing data noise and testing multiple algorithms. His innovative project combines geology and remote sensing to enhance mineral exploration. Ishaan is a finalist in the 2026 Thermo Fisher Scientific Junior Innovators Challenge.
TOI Science·2h ago·Oregon

