Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy
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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. What's Your Reaction?
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