Meet Ishaan Dokania, sixth-grader whose AI model spots lithium with 89% accuracy

 Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine learning. His project reached 89% accuracy in predicting potential lithium deposits after addressing data noise and testing various algorithms. Ishaan’s innovative approach combines geology and remote sensing to streamline mineral exploration. He is competing as a finalist in the 2026 Thermo Fisher Scientific Junior Innovators Challenge. Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine learning. His project reached 89% accuracy in predicting potential lithium deposits after addressing data noise and testing various algorithms. Ishaan’s innovative approach combines geology and remote sensing to streamline mineral exploration. He is competing as a finalist in the 2026 Thermo Fisher Scientific Junior Innovators Challenge.