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README.md
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---
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title: SchemeImpactNet
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emoji: 🏛️
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colorFrom: orange
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colorTo: red
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sdk: docker
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pinned: false
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license: mit
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app_port: 7860
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---
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# SchemeImpactNet
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**Predictive impact analysis and budget optimisation for India's MNREGA rural employment scheme.**
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Built with FastAPI + Streamlit + SciPy LP + XGBoost.
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## Features
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- 📊 **Overview** — National MNREGA employment and wage trends (2014–2024)
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- 🔍 **District Explorer** — Deep-dive into any district's historical performance
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- 🤖 **Predictions** — GBR V3 district-level forecasts (walk-forward CV R²≈0.91)
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- ⚖️ **Budget Optimizer** — SciPy LP budget-neutral reallocation
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- 🗺️ **Spatial Map** — District-level prediction map across India
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- 🧠 **Strategic Insights** — Auto-generated policy intelligence
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## Architecture
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```
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FastAPI (port 8000) ──→ SQLite (seeded from processed CSVs)
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Streamlit (port 7860) ──→ API client → charts & dashboards
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```
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## Data
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7,758 district-years · 28 states · 2014–2024 · MNREGA MIS / Dataful.in
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