Oregon sixth-grader builds AI model to detect lithium deposits with 89% accuracy
Ishaan Dokania, a sixth-grade student from Oregon, has developed a machine learning model that identifies potential lithium deposits using satellite imagery. The project achieved 89% accuracy after Ishaan worked through data noise issues and tested multiple algorithms. His approach merges geology with remote sensing techniques to make mineral exploration more efficient. Ishaan is now a finalist in the 2026 Thermo Fisher Scientific Junior Innovators Challenge, a prestigious science competition for young students.
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