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https://github.com/50-course/paycheck

Architecting modern financial application with Python and Java
https://github.com/50-course/paycheck

django finance-application fintech java microservices-application paycheck paycheck-backend python spring

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Architecting modern financial application with Python and Java

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# Paycheck

Paycheck is an example finance application, written to demonstrate OpenBanking in a minature way. The
application is a loan-lending application that connect customers to ease access of funds - virtul currencies
in our case.
To learn more about Open Banking and its Shenenigans, visit: https://www.mastercard.com/news/perspectives/2022/open-banking-101/

Collection of thoughts on the proposed architecture. Very high-level abstraction
of features for our application:

- Loans
- Savings
- Rewards
- KYC

## Architectural Deep Dive

- Rewards API:
Manages user rewards for actions like early loan repayments and credit score improvement.
It interacts with the Rewards API for reward issuance and redemption

- Support Service:
Handles user support requests and communication. It connects with the Support API to manage and resolve support tickets.

- User Management Service:
Handles user registration, authentication, and authorization. It integrates with the Authentication
& Authorization Service to enforce security measures like Two-Factor Authentication and Fingerprint Lock.

- Loans Service:
Manages loan applications, approvals, and disbursements. It interacts with the KYC Verification API
to ensure user identity, and with the Machine Learning Service for fraud detection.

- KYC Verification Service:
Integrates with the KYC Verification API to verify user identities using various documents and information.

- External Utils service:
Interfaces with external services such as banking systems, credit bureaus, and third-party APIs.
Provide service class interfaces and integrations for XML, SOAP (I think some banks uses it not sure), of course, REST APIs, maybe some GraphQL

- Threats/Security Machine Learning Service:
Incorporates ML models to track fraud detection, detect patterns like late-night withdrawals, and ensure secure financial transactions.

- Disputes Module:
Handles disputes related to failed transactions and loan repayments.

## Some Technical stuff

* Diagramming are proposed on a companion repo: https://github.com/50-Course/paycheck-architecture.git