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SCOPE GENERATED·complexity: [████████░░] 8/10

PROJECTAI Credit Scoring Platform for Indian NBFCs
RATIONALEPython FastAPI provides robust ML model serving capabilities essential for credit scoring algorithms. Multi-database approach handles both transactional data and real-time scoring requirements. AWS ensures compliance with RBI data localization requirements.

TECH STACK
FrontendReact.js with TypeScript
BackendPython FastAPI with Node.js microservices
DatabasePostgreSQL with Redis caching
AuthAuth0 with RBAC for multi-tenant access
HostingAWS with RDS and Lambda functions
ExtrasScikit-learn/TensorFlow for ML models, API Gateway for integrations, Kafka for data streaming, Docker containers

MVP FEATURES
NBFC dashboard with borrower overview
Basic credit score calculation using 3-4 alternative data sources
API integration with 2 major data providers
Admin panel for model parameter tuning
Role-based access for NBFC staff
Basic reporting and audit trails

DEFERRED (v2)
Real-time model retraining
Advanced analytics dashboard
Mobile app
Integration with more than 5 data sources
Automated decision engine
WhatsApp/SMS notifications

TIMELINE
2 weeksDiscovery & Compliance Research
6 weeksML Model Development & Testing
8 weeksCore Platform Development
3 weeksIntegration & Security Testing
1 weekDeployment & Go-live

COST ESTIMATE
USD$25,000 – $45,000
INR₹21.0L – ₹37.5L

⚠ RISK FLAGS
!RBI compliance for financial data handling is complex
!Alternative data quality and consistency issues
!NBFC integration complexity varies significantly
!ML model bias and fairness validation required
!Regulatory approval processes may extend timeline

SHARE YOUR SCOPE

Public link: stackpick.in/s/ai-product-driven-credit-scoring-50kplus-aa4d

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