CHETRA

    Connected Hub for Enterprise Tracking, Resources & Analytics

    Public service performance OS, in development

    Make every government school and hospital work.

    One live record per institution. Attendance, meals, medicines, staff, spend and condition, ranked and checkable.

    No sign in. No demo request. Every screen is open, on simulated data.

    Read the national evidence brief

    A government school and a government hospital side by sideIllustration of the two institution types CHETRA tracks: a government school with a clock tower and a school bus on the left, and a government hospital with a medical cross and an ambulance on the right.
    The two institution types CHETRA tracks: government schools and government hospitals.

    10,48,569

    Schools loaded in full from the official UDISE+ 2023-24 register

    25

    States and union territories covered by the loaded school list

    563

    Districts represented in the loaded school list

    31,053

    PHCs nationwide, the full addressable health base (MoHFW)

    Live register. UDISE+ 2023-24, Ministry of Education. Rural Health Statistics 2021-22, MoHFW. Schools await condition assessment.

    The problem

    Nothing here is unknown. It is only unjoined.

    Departments are not short of data. They are short of one joined, ranked record.

    Split across registers

    Attendance, meals, stock, salaries and the building all sit apart. Nobody sees one institution whole.

    Health data sits across HMIS, drug management systems and paper registers that do not reconcile. CAG, 2024

    Priority follows escalation

    The loudest complaint gets fixed first. The leaking roof over 600 children waits, because nothing ranked it.

    1.1 lakh single teacher schools serve 40 lakh children while 12,964 empty schools hold 31,981 teachers. UDISE+ 2023-24

    Money moves without proof

    Sanction, tender, certificate. Whether service actually improved is almost never recorded.

    Odisha utilised 44 to 50 percent of Samagra Shiksha funds while 3.51 lakh students went without uniforms. CAG, 2018 to 2023

    CHETRA joins those three gaps into one loop, per institution, on money already sanctioned.

    National evidence

    Not our opinion. The official record.

    Real published figures, each labelled with its source and edition. Separate from the simulated numbers this demonstration runs on.

    14.71 lakh

    Schools tracked in one national register, of which 10.17 lakh are government run

    UDISE+ 2023-24, Ministry of Education, released January 2025

    79.5%

    Shortfall of specialists at community health centres against sanctioned requirement

    Rural Health Statistics 2021-22, MoHFW, released 12 January 2023

    About 62%

    Share of approved Samagra Shiksha budgets that states actually spent in 2024-25

    Compiled from official records by research bodies. Secondary source

    About 10 lakh

    Sanctioned teaching posts vacant nationally, alongside 1.1 lakh single teacher schools

    Parliamentary Standing Committee on Education, 368th report, August 2025

    Integrations

    Built on the rails that already exist

    CHETRA is designed to read the data departments already collect, not to replace the systems they already run.

    ABDM

    CHETRA is being built to the same FHIR standard the National Health Authority uses for its Health Facility Registry.

    Reads: Facility identity, type and location for government hospitals, in the government's own health data format.

    UDISE+ and open school data

    The same enrolment, staffing and infrastructure data India already reports every year, published under the government's own open data license.

    Reads: Enrolment, teacher posts and sanctioned strength, classrooms, toilets, water, power and connectivity.

    State school and health systems

    Built to connect where a state already runs its own school or hospital MIS, not to sit apart from it.

    Reads: Whatever the state system already holds: attendance, postings, stock, works and sanction status.

    Public financial data

    The same sanctioned and released fund data already tracked through India's public financial systems.

    Reads: Sanctioned amount, released amount and utilisation, per scheme and per institution.

    What we measure

    Two institutions. One discipline.

    The signals that decide whether a school or a hospital works, held against one record.

    Live in this demonstration In development

    Government schools

    • Student attendance
    • Teacher presence
    • Midday meal served
    • Salary and staffing cost
    • Sanctioned versus actual spend
    • Enrolment and dropout
    • Building, water and power
    • Toilets and sanitation
    • Safety

    Government hospitals

    • Patient load and wait times
    • Roster versus presence
    • Medicine stock and expiry
    • Vendor and payment trail
    • Cost per episode
    • Equipment uptime
    • Wards and sanitation
    • Oxygen and power
    • Safety
    Before and after

    Same officials. Same budget. Different loop.

    No new law, no new cadre, no new sanction. The same facts, joined and ranked.

    Seeing an institution
    Four registers, one paper file.
    One live record, updated daily.
    Deciding what to fix first
    Whoever escalates hardest.
    A published formula ranks every institution.
    Allocating the envelope
    District quota, adjusted by request.
    Most service improvement per rupee.
    Signing off completion
    Certificate, photograph, trust.
    Evidence compared, or no sign off.
    Answering an audit query
    Weeks of file retrieval.
    Score, inputs and evidence on one screen.
    Worked example

    One school. One hospital. End to end.

    Illustrative walkthroughs on simulated data, using the arithmetic the product runs.

    Government school

    Upper Primary School, block headquarters

    612 students, 14 sanctioned posts

    Priority

    81

    1

    See

    Two of six toilets unusable, no running water, roof leaking.

    2

    Decide

    612 children dependent, safety pulled down by structure.

    3

    Build

    Water line and sanitation first, roof second.

    4

    Verify

    Taps running and roof sealed, checked against intake photographs.

    Before

    38

    Condition, 0 to 100

    After

    71

    The arithmetic

    The formula is not a secret. It is the product.

    The exact weights this site scores with, read straight from the engine.

    Condition, 0 to 100

    condition = sum(group average x weight) / sum(weights)

    • Structural25%
    • Utilities15%
    • Sanitation15%
    • Safety15%
    • Equipment10%
    • Accessibility10%
    • Digital infrastructure10%

    Priority, 0 to 100

    priority = sum(factor value x factor weight)

    • Condition risk30%
    • Population served20%
    • Service criticality15%
    • Safety risk15%
    • Cost efficiency10%
    • Equity and underserved10%

    AI reads photographs and notes into findings. It never sets a score, a rank or an allocation.

    Honesty

    What officials ask us first.

    Short answers. Open one.

    Pilot

    One district. One institution type. Ninety days.

    Exploring this site is free. Running audits on real data needs an approved account.

    01Week 1

    Scope

    One district, schools or hospitals, one nodal officer.

    02Weeks 2 to 6

    Score

    Every institution scored and ranked on the published formula.

    03Weeks 7 to 12

    Prove

    Allocation against your envelope, verified on evidence.

    What we need from you

    • One district, schools or hospitals
    • A named nodal officer
    • Read access to existing registers
    • Permission for sample field capture

    What you get back

    • Every institution scored
    • A ranked list of what to fix first
    • An allocation plan for your envelope
    • Evidence gated verification