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🇮🇳 JanSetu AI: The Booth-Level Saturation Engine

Empowering Last-Mile Governance for Viksit Bharat @2047

JanSetu AI is an Active Intelligence Layer designed to bridge the "Saturation Gap" in government scheme delivery. By combining Knowledge Graphs with Generative AI, we move beyond static lists to identify and nudge eligible citizens who have been left behind.


🚀 Key Innovation: Floating Node Detection

JanSetu leverages Neo4j Graph Theory to map complex relationships between Citizens, Geography (Booths), and Scheme Eligibility.

  • The Gap Analysis: The engine automatically identifies "Floating Nodes"—citizens who possess the POTENTIAL_ELIGIBILITY properties for a scheme but lack a verified ENROLLED_IN relationship.
  • Household Chain Intelligence: Unlike traditional SQL databases that struggle with relational depth, our Cypher logic detects inter-generational eligibility.
    • Example: A father's "Kisan Credit Card" status in the graph automatically triggers an AI nudge for a son's "Mudra Loan" eligibility—a relational link often invisible to standard flat-file databases.
  • The AI Nudge: Once a gap is found, Vertex AI (Gemini 2.0 Flash) generates a hyper-personalized, context-aware message in the citizen's local dialect (Kannada/Telugu), providing the exact location of their local Booth and required documents.

🛠️ The Technology Stack

Layer Technology Purpose
Graph Engine Neo4j AuraDB Relational intelligence & multi-node gap detection
Intelligence Google Gemini 2.0 Flash GraphRAG orchestration & sub-1s nudge generation
Linguistic UI Bhashini Protocol Architected for 22+ Scheduled Indian Languages
Backend FastAPI / Python 3.11 High-performance automated scan-and-nudge pipeline
Audit Trail UTF-16 CSV Logging Zero-hallucination administrative record for BLOs

📊 Impact & SDG Alignment

This project directly targets the SDG India Index 2023-24 goals:

  • Goal 1 (No Poverty): Ensuring 100% penetration of DBT and PDS schemes.
  • Goal 8 (Decent Work & Economic Growth): Identifying candidates for Mudra Loans.
  • Goal 10 (Reduced Inequalities): Bringing marginalized populations into the formal welfare net.

⚙️ Installation & Setup

  1. Clone the repository:
    git clone [https://github.com/ritu3435/Booth-Intelligence-Graph.git](https://github.com/ritu3435/Booth-Intelligence-Graph.git)
    cd Booth-Intelligence-Graph

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