APPLICATION OF MACHINE LEARNING RANKING IN BLOCKCHAIN BASED LOAN APP
Journal Title: GJRA-Global Journal For Research Analysis - Year 2019, Vol 8, Issue 5
Abstract
The online loan application is a venture created to give a simple method to apply for credit using cryptocurrency. Information can be acquired by the users about applying for a loan and apply for the same. Before the ascent of banks, loans and reimbursements occurred peer-to-peer. After some time, the trust started to diminish, and mediators and outsiders were added to the situation. These mediators gave a layer of security, yet in doing as such charge high expenses while including additional layers of multifaceted security and control the process. Being based on a distributed record, the very idea of its structure is trustless and decentralized. This makes it conceivable to exchange responsibility for resources starting with one individual then onto the next, without the requirement for a middle person, a quality which could help resuscitate peer-to-peer model. Blockchain loaning basically expands on the immortal peer-to-peer model, making the whole procedure progressively consistent and decreasing the measure of time the procedure takes. The agent (a bank) is thrown away, and singular borrowers are associated straightforwardly to willing loan. The incredible estimation of such decentralized loaning is that with a solitary demand, a borrower can get to extremely focused nancing, as geography is no imperative on a blockchain stage, lenders from everywhere throughout the world can bid to give the loan. And the most suitable bid, that is, with minimum interest can be selected. Whilst, the borrower has to maintain a minimum account balance. Imperatively, there is no compelling reason to depend on an outsider for individual verications. Since all exchanges are open and auditable, each location can be relegated a credit rating, inconsequentially.
Authors and Affiliations
Ritwik Tiwari, Deepesh Yadav*
Keywords
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