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PROJECT / 2025
MitraPulse
An AI-assisted credit-health and coaching system producing explainable assessment and coaching insights from structured financial and qualitative field data.
Problem
Field teams need interpretable credit-health indicators that combine financial records with contextual observations.
Implementation
The hackathon prototype joined application, data, and machine-learning services into a reviewable assessment workflow.
- Explainable credit-health assessment
- Structured and qualitative data inputs
- Coaching insight generation
- Semifinalist prototype delivery
Key technical decisions
- Presented contributing signals alongside outputs
- Separated model processing from the application API
- Kept the interface focused on actionable coaching context
Security considerations
- Treated financial fields as sensitive application data
- Separated service credentials from client code
- Limited the prototype to explainable outputs