WO2019021314A4 - A system and method for default probability prediction and credit scoring framework - Google Patents

A system and method for default probability prediction and credit scoring framework Download PDF

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Publication number
WO2019021314A4
WO2019021314A4 PCT/IN2018/050488 IN2018050488W WO2019021314A4 WO 2019021314 A4 WO2019021314 A4 WO 2019021314A4 IN 2018050488 W IN2018050488 W IN 2018050488W WO 2019021314 A4 WO2019021314 A4 WO 2019021314A4
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WO
WIPO (PCT)
Prior art keywords
loan
probability prediction
credit scoring
default probability
scoring framework
Prior art date
Application number
PCT/IN2018/050488
Other languages
French (fr)
Other versions
WO2019021314A1 (en
Inventor
Aviruk CHAKRABORTY
Original Assignee
Capitaworld Platform Private Limited
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Publication date
Application filed by Capitaworld Platform Private Limited filed Critical Capitaworld Platform Private Limited
Publication of WO2019021314A1 publication Critical patent/WO2019021314A1/en
Publication of WO2019021314A4 publication Critical patent/WO2019021314A4/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state

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  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Engineering & Computer Science (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention discloses a system and method for default probability prediction and credit scoring framework. The present invention comprises various components such as fetching means includes a video source (10) performing recognition process like, face recognition (4a), an emotion detection (4b), pulse detection (4c), speech analysis (4d), galvanic skin response (4e); a host or central computing unit (11), computer accelerators (13) and a storage updated database (14b) to collect user data. The said insights analysis is processed further with all relevant financial as well as social media information. The applicant's application with all said parameters is combined and sent for auto filing without human intervention via a deep neural network model (14a). This process is centrally focused with autonomous process predicts default and credit score of the applicant and eases out the work for any person seeking a loan and other side as well for who is providing the loan or insurance.

Claims

AMENDED CLAIMS
received by the International Bureau on 21 January 2019 (21.01.2019)
A process of a default probability prediction and credit scoring framework, comprising the steps of: a) fetching the user data by fetching means via video source (10); b) securing and calculating the user data via central computing unit (11) and accesses the learnt parameters via common shared memory (12); c) interfacing the said system with plurality of computation accelerators (13) for parallel computation and for faster rate of data updation; d) sending the loan application for auto filing and reviewal by deep neural network; e) creating an internal storage database (14b) by processing the user data by advanced processing system, after customer or applicant applies for a loan; f) generating inputs to smart model by intelligent retrieval system; g) making a profile after reviewing additional or outsource demographics of a person seeking loan via smart model; h) providing best feasible probability prediction of a person seeking loan or vice versa, on the basis of said credit score; i) approaching of bank, organization and institute and signing a smart or digital contract for loan disbursement; and j) monitoring and tracking the loan timely after loan disbursement.
The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said user data includes real-time data by means of face recognition (4a), an emotion detection (4b), pulse detection (4c), speech analysis (4d) and galvanic skin response (4e).
The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said outsource or additional demographics database of a person
25 seeking loan includes social media presence (6a) and financial data (6b).
The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said internal storage database is being generated from the past data as well as deep neural network model approach.
The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said deep neural network model is based upon heuristic formulation or calculations which takes out the various parameters as a set of inputs and executes some distinctively computative process. 6. The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said synergic score is generated for rating and identifying the applicant's profile.
7. The process of a default probability prediction and credit scoring framework as claimed in claim 1, wherein said monitoring, and tracking of a person seeking loan is done by various sources and input to the smart neural network model.
A default probability prediction and credit scoring framework system, comprising:
video source (10) in raw format for fetching user data;
26 a host or central computing unit (11), to store the user data, wherein said host or central computing unit (11) has
computation accelerator (13), shared memory (12), and application software ;
a deep neural network model (14a), to transfer processed data to internal storage database (14b) which stores and keeps the updated data for future perspective.
A default probability prediction and credit scoring framework system configured to operate the steps as claimed in claims 1 - 8.
27
PCT/IN2018/050488 2017-07-26 2018-07-25 A system and method for default probability prediction and credit scoring framework WO2019021314A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN201721026520 2017-07-26
IN201721026520 2017-07-26

Publications (2)

Publication Number Publication Date
WO2019021314A1 WO2019021314A1 (en) 2019-01-31
WO2019021314A4 true WO2019021314A4 (en) 2019-03-21

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IN2018/050488 WO2019021314A1 (en) 2017-07-26 2018-07-25 A system and method for default probability prediction and credit scoring framework

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WO (1) WO2019021314A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110519334B (en) * 2019-07-31 2021-12-10 创新先进技术有限公司 Monitoring processing method and device under credit contract system
CN112308203A (en) * 2019-10-09 2021-02-02 刘畅 Bank loan issuing and post-loan management decision support system based on artificial intelligence deep learning and multi-parameter dynamic game
CN110782339A (en) * 2019-10-22 2020-02-11 黑龙江工业学院 Default probability prediction method, system and readable storage medium
JP7477172B2 (en) * 2021-02-19 2024-05-01 株式会社Kort Valuta Information processing device, information processing system, information processing method, and program
CN117579329A (en) * 2023-11-15 2024-02-20 北京源堡科技有限公司 Method for predicting security exposure risk of organization network, electronic equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8972266B2 (en) * 2002-11-12 2015-03-03 David Bezar User intent analysis extent of speaker intent analysis system
US20150142446A1 (en) * 2013-11-21 2015-05-21 Global Analytics, Inc. Credit Risk Decision Management System And Method Using Voice Analytics

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Publication number Publication date
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