Soham Vichave

The rapid expansion of the gig economy has created millions of independent earners across ride-hailing, food delivery, freelancing, and contract-based digital services. However, traditional credit scoring frameworks such as those used by CIBIL and FICO rely heavily on salary slips, fixed employment records, and past loan history to determine creditworthiness. Gig workers typically lack formal employment documentation and have irregular income patterns, leading to systematic loan rejections or high interest rates despite maintaining healthy and consistent cashflows. This creates a major gap where income volatility is mistaken for financial instability, resulting in financial exclusion for a rapidly growing workforce segment.

To solve this problem, we propose Cashflow Intelligence, an AI-powered alternative credit scoring engine that replaces “salary stability” with “cashflow stability.” Instead of asking how much a person earns monthly, our system evaluates how reliably and responsibly they manage money over time. The platform securely ingests bank statements, UPI transaction logs, and gig platform payout histories, then applies NLP-based transaction classification to automatically tag income streams, fixed obligations, discretionary spending, and savings patterns. From this structured data, we generate advanced behavioral features such as the Income Volatility Index, Platform Dependence Score, Expense Discipline Ratio, Savings Buffer Score, and Cashflow Coverage Ratio. These features power an explainable scoring model that produces a transparent credit score ranging from 300 to 900, along with clear reason codes that justify the result, ensuring lender trust and borrower understanding. To strengthen reliability, the system incorporates fraud detection mechanisms to identify artificial income spikes, circular transfers, and sudden platform drop-offs. By redefining creditworthiness through behavioral cashflow analytics rather than employment type, this solution promotes financial inclusion, reduces risk misclassification for lenders, and provides a scalable, industry-ready fintech framework capable of unlocking fair and explainable credit access for gig workers.

One-line pitch: We replace salary slips with behavioral cashflow intelligence to unlock fair and explainable credit access for gig workers. 🚀