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Payojana - AI Powered Community Credit Scoring

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November 15, 2024
Payojana is a mission-driven fintech solution designed to tackle the systemic exclusion of underbanked rural populations from formal credit systems. Launched as a zero-fee utility payment platform, Payojana builds digital trust and financial behaviour habits before transitioning users into a data-driven, AI-powered lending ecosystem. At its core, Payojana leverages behavioural data, Bayesian inference, and supervised machine learning to construct individual risk profiles without relying on traditional credit scores. Through community-based microloans, it unlocks affordable credit by analysing repayment likelihoods across panchayat-level clusters, optimising risk using Mean-Variance techniques. Builds digital trust and financial behaviour habits through multilingual bill payments via low-data mobile interface, establishing user engagement before credit assessment. Leverages behavioural data, Bayesian inference, and supervised machine learning to construct individual risk profiles without relying on traditional credit scores. Analyzes repayment likelihoods across panchayat-level clusters, optimizing risk using Mean-Variance techniques for group-linked lending. Seamless integration with India's digital public infrastructure including e-KYC, UPI, and IVR systems for trusted onboarding. Collaborates with institutions like Aajeevika Yojana and local community organizations to ensure culturally appropriate financial services. Revolutionary approach that eliminates the need for traditional financial history, using digital payment patterns and community interactions to assess creditworthiness. Advanced analytics that assess risk at the community level, enabling lower interest rates through collective accountability and shared risk models. Low-data mobile interface supporting multiple regional languages, ensuring inclusivity across diverse rural populations. Built for cross-border deployment with potential expansion to Bangladesh, Sri Lanka, and African markets facing similar financial inclusion challenges. Revenue generation through competitive interest rates on community-based microloans while maintaining affordability for borrowers. Licensing credit scoring algorithms to banks, MFIs, and other financial institutions seeking to serve underbanked populations. Collaborations with banks, microfinance institutions, and government schemes to expand reach and impact. Alignment with financial inclusion initiatives and rural development programs for sustainable growth.
  • Python & R: Advanced statistical modeling and machine learning algorithms for credit risk assessment
  • Bayesian Inference: Probabilistic models for credit scoring without traditional financial history
  • Machine Learning: Supervised learning algorithms for behavioral pattern recognition and risk prediction
  • Mean-Variance Optimization: Portfolio theory applied to community-based lending risk management
  • Digital Public Infrastructure: Integration with e-KYC, UPI, and IVR systems for seamless user experience
  • Mobile-First Design: Low-bandwidth solutions optimized for rural connectivity challenges
  • Data Analytics: Real-time behavioral analysis and community risk assessment platforms
Payojana transforms vulnerable borrowers into empowered digital financial participants—offering not just credit, but dignity, inclusion, and long-term financial resilience. Bringing millions of underbanked rural populations into the formal financial ecosystem through innovative technology and community-based approaches. Eliminating exploitative lending practices by providing transparent, fair, and affordable credit options based on actual behavioral data. Strengthening local economies through group-based lending models that foster collective responsibility and mutual support. Developing replicable models for financial inclusion challenges across emerging markets in South Asia and Africa.
  • Built MVP and conducted market validation with 50+ potential customers across rural communities
  • Designed comprehensive business model with financial projections for sustainable growth and social impact
  • Established partnerships with grassroots organizations and community development institutions
  • Developed innovative credit scoring algorithms that eliminate traditional financial history requirements

Bridging the gap between traditional banking and underserved communities through intelligent technology, behavioral insights, and community-driven financial solutions.

Project Resources