CPC G06Q 50/01 (2013.01) [G06F 9/466 (2013.01); G06F 9/543 (2013.01); G06F 16/2379 (2019.01); G06F 16/27 (2019.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06N 3/042 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/0639 (2013.01); G06Q 10/10 (2013.01); G06Q 20/405 (2013.01); G06Q 30/018 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0206 (2013.01); G06Q 30/0208 (2013.01); G06Q 30/0215 (2013.01); G06Q 30/0278 (2013.01); G06Q 40/03 (2023.01); G06Q 40/08 (2013.01); G06Q 50/18 (2013.01); G06Q 50/188 (2013.01); G06Q 50/26 (2013.01); G06V 10/762 (2022.01); G16Y 10/50 (2020.01); G16Y 40/10 (2020.01); H04L 9/0637 (2013.01); G06Q 40/04 (2013.01); G06Q 2220/18 (2013.01)] | 10 Claims |
1. A system comprising:
at least one processor; and
a memory device storing an application that adapts the at least one processor to:
interpret loan data relating to a loan and collateral data relating to one or more items of collateral for the loan;
determine, via a valuation model, a value of the loan based at least in part on the loan data and the collateral data, wherein the valuation model is trained on one or more sets of determined loan valuations and corresponding items of collateral; and
instantiate a smart contract that manages repayment of the loan, wherein the smart contract is configured to:
interpret sensor data relating to the one or more items of collateral during a repayment period of the loan;
selectively adjust the value of the loan based at least in part on the sensor data and the valuation model;
generate a block containing data corresponding to the adjusted value of the loan;
generate a hash value of the block; and
link the block to a blockchain via the hash value.
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