i. Utilize artificial intelligence techniques (Machine learning, and Deep learning algorithms) to build a Mineral Prospectivity Map (MPM) of several minerals like Hematite, Copper-bearing minerals in the Jharkhand and its surrounding regions by incorporating multidimensional
datasets such as geophysics (gravity, magnetic), geochemistry, geology, and hyperspectral remote sensing.
ii. Compare different types of models in terms of accuracy and predictability to determine the best-suited model for generating a Mineral Prospectivity Map (MPM).
iii. Build an automated ML pipeline that will serve as the foundation for India’s in-depth mineral exploration program based on the predictive model’s performance to evaluate the resource potential of other regions.
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