PayBaba is a transaction intelligence-based dashboard that utilizes transaction data from payment gateways as the primary source of information to generate structured and credible business performance indicators.
PayBaba is not designed as a lending system, but rather as a decision-support system that assists financial institutions in conducting additional analysis of MSME business feasibility. This system processes digital transaction data, such as sales volume, transaction frequency, cash flow stability, and business growth trends, into quantitative metrics that can be used as supporting evidence in the credit evaluation process. This way, real economic data previously scattered throughout daily transaction activity can be transformed into more structured and easily understood information.
Pitch Deck: https://bit.ly/PayBaba-PitchDeck
GitHub for Backend: https://github.com/lutfialvarop/PayBaba-API
- Credit Readiness Dashboard
- AI Credit Explanation
- Smart Loan Timing
- Business Performance Analytics
π Get loans without collateral or financial reports
- Merchant Portfolio Dashboard Monitoring
- Credit Analysis Tools
- Early Warning System
π¦βπ₯ Access verified SME data with AI risk assessment
- Monetization Dashboard
- AI Ops Monitoring Dashboard
π° Increase merchant stickiness through value-added services
π https://paybaba.vercel.app/
- Node.js (v16+)
- Git
git clone https://github.com/StyNW7/PayBaba-AI-Hackathon.git
cd PayBaba-AI-Hackathon
cd frontend
npm install
npm run devOverall End-to-end System Workflow of PayBaba Project
This diagram illustrates the System Architecture of PayBaba
This Repository is created by MU Sang King Team for Mini AI Hackthon by PayLabs x Alibaba Cloud Indonesia x BINUS University:
- Stanley Nathanael Wijaya - 2702217125
- Maulana Hanif Al Faqih Rojichan - 2802487844
- Lutfi Alvaro Pratama - 2802428274
- Louis Oktovianus - 2702752173
Have questions or want to collaborate?
- π§ Email: stanley.n.wijaya7@gmail.com
- π¬ Discord:
stynw7
Made with β€οΈ by MU Sang King













