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State government · Education & infrastructure management

A state education department transforms school infrastructure planning with a centralized asset intelligence platform

Field engineers and planning officers were relying on fragmented spreadsheets and delayed paper audits to track thousands of rural schools. A unified GIS and asset management portal automated deficiency detection, optimizing capital fund allocation across the state within a single planning cycle.

Digital twin to visualize, manage, and optimize school infrastructure
~80%improvement in capital fund allocation efficiency

The challenge

The department oversees thousands of educational institutions spread across remote, high-altitude, and difficult-to-access terrains. Tracking the physical condition of classrooms, sanitation blocks, drinking water facilities, and digital equipment relied on manual paper surveys and disconnected district-level spreadsheets.

Without a single source of truth or photographic verification, state planners struggled to distinguish between urgent structural deficiencies and routine maintenance requests. Consequently, budget forecasting took months to compile, and capital grants risked being unevenly distributed—leaving critical infrastructure gaps unaddressed while duplicate requests slowed down approvals.

The approach

Sumato deployed a centralized Integrated School Asset Management System (Arunachal Vidya Nidhi), combining a field-ready mobile inspection engine with a real-time executive WebGIS command dashboard.

Every school facility and physical asset was geotagged and mapped against standardized infrastructure benchmarks. Instead of manually sifting through thousands of inspection reports, the system automatically flags critical deficiencies, calculates gap scores per institution, and generates prioritized intervention lists—giving state leadership complete visibility before a single rupee is sanctioned.

  • Automated gap analysis

    Built-in rule engines cross-reference school enrollment and existing facilities against statutory norms to automatically highlight infrastructure shortfalls.

  • Geotagged field verification

    Mobile-first data capture with time-stamped photographic evidence and GPS coordinates eliminates phantom reporting and ensures ground-truth accuracy.

  • Data-driven grant routing

    Executive dashboards rank blocks and districts by deficiency severity, allowing planners to simulate budget scenarios and direct funds where impact is highest.

The results

  • ~80%

    Improvement in targeted fund allocation and utilization efficiency

  • 90%+

    Accuracy in identifying and verifying critical infrastructure deficiencies

  • 100%

    Geotagged visibility across mapped institutional assets statewide

Figures reflect operational improvements measured across district planning and capital disbursement workflows post-deployment.

Solutions used

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