Kawawa Loan – Digital Lending & Credit Management

Project Overview

Kawawa loan application is a software tool designed for smartphones that provides a convenient and accessible way for users to apply for various types of loans, such as personal loans, mortgages, or small business loans. These applications typically offer features like a user-friendly interface for submitting loan applications, document uploads, credit checks, and approval processes. Users can also use these apps to manage their loan accounts, make payments, track their repayment schedules, and receive notifications and updates related to their loans, all from the convenience of their mobile devices.

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Our Application Features

  • Easy loan application process.
  • Convenient loan management and payments.
  • Timely notifications and updates.
  • Frontend: Flutter (Mobile App)
  • Backend: Node.js + Express
  • Database: PostgreSQL
  • Cloud: AWS S3 + CloudFront
  • Payments: Integrated payment gateways for EMI

75

Days Project

About

The “Kawawa loan application” is a mobile software tool that simplifies the process of loan applications, enabling users to apply for personal loans, mortgages, and small business loans. It offers a user-friendly interface for application submissions, document uploads, credit checks, and approval tracking. Users can also use the app to efficiently manage their loan accounts, make payments, monitor repayment schedules, and receive timely notifications and updates, all conveniently accessible on their smartphones.

Core Features

User App

  • Instant loan applications with KYC verification

  • Credit scoring engine for eligibility checks

  • Loan repayment schedules and EMI reminders

  • In-app wallet for transactions

Admin Panel

  • Loan approval workflows

  • Risk assessment and borrower history tracking

  • Automated notifications for reminders and collections

Engineering Challenges & Solutions

  • Challenge: Ensuring secure digital lending operations.
    Solution: Built multi-layer encryption with fraud detection.

  • Challenge: Automating risk assessments.
    Solution: AI-driven credit scoring models.

Results & Impact

  • Simplified lending operations for businesses.

  • Increased accessibility to microloans for users.

  • Reduced defaults through smart reminders.

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Customer feedback

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