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An end-to-end data pipeline and web application for ingesting AMFI mutual fund data, performing time-series analysis, and providing ML-based fund recommendations.
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This is a standard portfolio project using common Python data science tools. It implements a basic ETL and ML workflow for financial data that is readily available. It lacks a proprietary moat or unique architectural innovation, making it easily reproducible by any developer or AI coding assistant.
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