// build_guide
// How to build AI Credit Scoring Platform for Indian NBFCs
Python 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.
Complexity 8/10AI Product
// recommended_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
ExtraScikit-learn/TensorFlow for ML models
ExtraAPI Gateway for integrations
ExtraKafka for data streaming
ExtraDocker containers
// cost_and_timeline
USD min
$25,000
USD max
$45,000
INR min
₹21.0L
INR max
₹37.5L
Typical AI Product projects cost $6,000–$18,000 USD and take 10–16 weeks with an Indian dev team. See the full cost guide →
// timeline_breakdown
2 weeksDiscovery & Compliance Research
6 weeksML Model Development & Testing
8 weeksCore Platform Development
3 weeksIntegration & Security Testing
1 weekDeployment & Go-live
// mvp_features[]
## What to build in the MVP
-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
// risk_flags[]
## Engineering risks to plan for
!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
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// related_resources