FinSense - AI-Powered NPA Prevention Platform for Banking
AI-powered, post-disbursement loan health monitoring system built for SBI-scale banking use cases. Continuously monitors borrower financial behavior after loan disbursement, scores risk on a 0–100 scale across 4 tiers using XGBoost with SHAP-based explainability, and deploys a conversational AI agent to proactively engage at-risk borrowers 60–90 days before default — instead of only scoring creditworthiness at application time like traditional systems.
Built the FastAPI backend (loan, risk, agent, and dashboard routers), automated risk re-scoring via Celery + Redis, and real-time dashboard updates via WebSockets, with a React + Tailwind frontend for officer-facing risk visualization.
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SENTINEL - Edge AI Driver Assistance System
Backend Lead for an edge AI ADAS (driver assistance) system built for Indian road conditions. Multi-stage ML pipeline covering sensor fusion, scene classification, risk scoring, GradCAM/XAI explainability, and federated learning. Built the backend and deployment pipeline, integrating ONNX and PyTorch runtimes to serve model inference in production.
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Built an AI-powered orthopedic healthcare assistant that helps patients describe symptoms, receive general orthopedic guidance, and book appointments through a natural conversational interface. The application combines a Next.js frontend with a FastAPI backend, AI-powered chat, streaming responses, RAG-ready architecture, and appointment scheduling integration. Designed with healthcare safety in mind, it includes structured patient intake, emergency symptom detection, and a scalable architecture that can be extended to WhatsApp, clinic CRMs, and other healthcare platforms.
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