PRE-PILOT COMPLETE · HISAR, HARYANA

India's Resilient
Offline-First
Health Platform

Empowering frontline ASHA & ANM health workers to capture family records, track immunization calendars, and detect maternal risks in real-time — with or without active cellular networks.

Offline Sync Queue
100% On-Device DB
721 Beneficiaries
Surveyed in Hisar
Swasthya Doot App Interface Mockup

The Frontline Realities

Frontline health workers lose 40% of their time to paperwork

ASHA workers are the backbone of public health, yet they carry heavy paper ledgers through blocks without cellular networks. Manual record-keeping delays maternal risk identification and deprives decision-makers of real-time insights during critical disease outbreaks.

Clipboard Lag

High manual data entry delays pregnancy triage.

40% Time Lost

Zero Network

Cloud apps break down completely in rural blocks.

60% Lacks 4G

Data Silos

CMOs and medical staff lack outbreak alerts.

0 Triage Alerts
Computer Vision Pill & Medicine Detection
ON-DEVICE AI VISION
Pill & Medicine Scanning

Frontline health workers scan medicine packages and liquid syrups on the spot. The AI engine auto-detects drug descriptions and verifies expiration status instantly.

Health Dynamics of India

The Frontline Scale & The Data Chain Lag

India's public health frontline is one of the largest volunteer networks in the world. Yet, the flow of vital health intelligence is crippled by paper registries and manual processing.

12+ Lakh
ASHA Workers
First responders in village households
2+ Lakh
ANM Workers
Sub-centre supervisors & vaccinators
40,000+
PHC Doctors
Primary care clinical decision makers
26,000+
CHC Specialists
Secondary care & regional hospitals
The Paper Reality
Health Data Chain & Latency Timeline

Same data written multiple times—paper first, apps later. Situation changes before CMO sees it.

ASHA
Home Visit
Paper registry & triple entry
Day 0
ANM
Sub-Centre
Manual digitisation & compile
Day 7
PHC
Primary Health
Verifying Excel spreadsheets
Day 14
CHC
Community Health
Regional tally rollup
Day 21
CMO
Chief Medical Office
Delayed local resource planning
Day 28
State HQ
DGHS Director
Retrospective policy updates
Day 30+

The Platform Suite

One app. Every health worker.
Zero connectivity needed.

Swasthya Doot couples resilient on-device databases with predictive cloud-based analytics, providing a real-time bridge from ground health workers to state command offices.

1. Edge Capture (Offline)

Frontline ASHAs register families on-device using a lightweight schema in their local Isar DB. Camera OCR captures Aadhaar numbers in under a second.

2. Silent Sync Service

A background synchronization worker triggers whenever 4G networks become active, pushing encrypted local payloads to central Firestore clusters.

3. Live Dashboard Triage

Medical Officers at Primary Health Centers (PHC) instantly receive synced vitals, displaying automated high-risk triage lists for immediate action.

→ Interact with the live device simulation on the right to trigger sync queue.
Offline Mode
ASHA Ground Diary
Raj Rani (ANC)
Pending Upload
PHC Command Center
Live Streams
Anita Devi (26)
BhaganaSevere Anemia (Hb 6.8)
10 mins ago
Synced
Kiran Bala (29)
Satrod KhurdDiabetes Tracked
1 hr ago
Synced

Command Center Interface

SwasthyaOS Clinical Dashboards

Explore the web dashboards deployed at Primary Health Centers (PHC) and District Headquarters to monitor beneficiary health profiles and network connections.

Maternal & Child Health Dashboard: Beneficiary Management & Vitals Triage
PHC Vitals Dashboard
MCH Program Overview & Active Register

Provides Medical Officers with automated high-risk triage alerts, pregnancy calendars, upcoming checkup alerts, and postnatal visit logs updated in real-time as ASHAs sync field data.

App Connect & Interoperability Control Panel
Pairing & Interoperability
ANM Devices & District CMO Link

A secure authentication and pairing panel that coordinates offline-to-online field force syncing, pairing ANM tablets, and connecting local PHC nodes to the District CMO Command.

AI-Powered Workforce Guidance

Educate through Guidance,
Not Complex Forms

We empower ASHA and ANM workers through dynamic, intelligent assistance on the spot. Swasthya Doot replaces confusing data inputs with voice, vision, and natural language.

📢 Ask Didi (Voice Help)

Instant answers in Hindi and English. Frontline workers ask questions verbally and receive audio-visual guidelines directly at the point of care, bypassing tedious navigation lists.

Speech-to-Text Offline Engine

💊 Pill & Medicine Scanning

On-device computer vision allows workers to scan packaging, strip pills, or syrup bottles. The app auto-detects drug descriptions, verifies expiry status, and reduces distribution errors.

Edge Computer Vision Model

🏠 Family-Centered Care

A single unified digital record for maternal ANC, child immunization, and chronic NCD tracking. Eliminates redundant registry books and ensures longitudinal family medical history tracking.

Unified Longitudinal Schema

System Pipeline

The Journey of a Vitals Entry

Tracking data flow from rural villages to district-level health command networks.

01

Edge Collection

ASHA inputs pregnancy data, hemoglobin counts, and blood pressure levels. The client app validates metrics locally.

02

Encrypted Push

Workmanager scheduler queues sync routines. Once a network is found, AES-encrypted vitals are uploaded securely.

03

Risk Scoring

The Python AI Hub parses incoming structures. On-device ONNX models classify risks, and Neo4j links relatives.

04

PHC Triage Alerts

Local doctors receive automated alerts for high-risk pregnancies, while district CMOs view geographic outbreak clusters.

Swasthya Doot End-to-End AI Workflow
End-to-End System Pipeline

The Unified Data Flow

1
ASHA Mobile Edge (Left)

Frontline workers use the offline-first mobile app in remote villages to log patient vitals, query 'Ask Didi' voice assistance, and perform AI-driven Pill & Medicine scans.

2
Intelligent AI Gateway (Center)

Syncs offline databases as network coverage is detected, routing encrypted payloads through our central AI models to flag critical risks, analyze trends, and coordinate updates.

3
SwasthyaOS Dashboard (Right)

Aggregated inputs instantly populate MCH dashboards for Primary Health Centers (PHC) and Chief Medical Officers, displaying pregnancy risks and tracking village statistics in real-time.

Core Capabilities

Engineered for Frontline Resiliency

Deep-tech features purpose-built for low-connectivity Indian healthcare environments.

On-Device OCR Helpers

Leverages Google ML Kit directly on edge devices to scan Aadhaar cards, auto-populating complex registry profiles in 1 second with zero network dependency.

Adoption Gamification

Built-in streak tracking, daily activity caps, and regional leaderboard points incentivize frontline workers to maintain strict pregnancy follow-up schedules.

HIPAA-Aware Security

Protects sensitive patient health information (PHI) via local AES-256-GCM database encryption, DPDP compliant consent loops, and end-to-end HTTPS transfers.

Predictive Disease Outbreaks

Time-series forecasting models (ARIMA & LSTM) process aggregated PHC data to identify forming geographic clusters of diseases like anemia or fever.

Neo4j Knowledge Graph

Maps spatial relationships (Mother→Child→Risk) across families to trace hereditary vulnerabilities and deliver context-aware support.

Multi-Tier Access Control

Tailors dashboard views for the 3-tier administration (PHC Local, CMO District, NHM State) protecting patient privacy while sharing insights.

Comparative Advantage

Completing the Health Loop
Where Traditional Systems Stop

Unlike existing NHM applications that focus only on passive data collection, Swasthya Doot provides a fully integrated, active coordination suite.

CapabilityExisting NHM Apps (RCH/ANMOL)Swasthya Doot
Offline data entry in remote villages
Limited
Voice + OCR intelligent inputs (Hindi/English)
Unified family health record (Pregnancy + Child + NCD)
Limited
Real-time block & village dashboards
Limited
Auto-sync with active data validation
Ask Didi – built-in voice training guidance
Pill detection & medicine info scanning
Integrated monitoring (ASHA → ANM → CMO → State)
Limited
Instant automated PDF / Excel report generation
Multi-language user interface & local voice support
Limited

*Consequence: Less duplicate data entry, faster medical exception review, and same-day operational visibility at block/district level.

*Note: Existing NHM platforms (RCH/ANMOL) have basic offline caching and local text interfaces, but suffer from sync bugs, lack integrated voice/OCR, run separate NCD databases, and lack real-time cross-tier monitoring.

Traction & Deployment

Verified Pre-Pilot:
Hisar District, Haryana

Swasthya Doot underwent a rigorous live field assessment in Haryana (Bhagana and Satrod villages) from **October 28, 2025, to February 7, 2026**. Frontiers of ASHA, ANM, and Medical Officers validated the on-device architecture, logging records and syncing profiles under zero connectivity.

Project Roadmap

Phase 1: R&D & Core Build
Completed · On-device database architecture configured.
Phase 2: Hisar Field Pilot
Completed · Oct 2025 - Feb 2026. 19 active workers deployed.
Phase 3: State-Scale Rollout
In Progress · Currently presenting pilot reports to Haryana NHM.
Registered Staff
19
Active ASHAs, ANMs, & MOs
Surveyed Households
166
Unique families mapped
Beneficiaries Mapped
721
Frontline profiles captured
ABDM Compliance
72%
Guiding Principles verified
ABDM HSPA Assessed Principles
ABHA IntegrationSNOMED-CT CodingDPDP Consent LoopsPII maskingOffline DBBilingual⚠️FHIR R4 Pending

Field Deployment Gallery

Active Ground Adoption in Hisar

Real-world moments capturing our frontline health workers using the offline-first mobile application in their daily maternal checkup routines.

Frontline ASHA Worker Team in Hisar, Haryana
Haryana Pre-Pilot Team
ASHA Workers at Bhagana PHC

ASHA and ANM worker cohort validating the offline data collection registry and syncing metrics in Hisar, Haryana.

ASHA Workers Peer-to-Peer Training & Collaboration
Community Training
Ground-Level Collaboration

Peer-led digital training session where frontline workers collaborate to review offline diaries and track high-risk patient records.

Core Infrastructure

The Three-Pillar System
Swasthya Doot App

ASHA/ANM field application featuring off-line registry capture, local Isar DB query indexing, background syncing queues, and smart validation forms.

  • Offline-first local storage
  • Instant 92% sync < 24h
  • Camera-based Aadhaar OCR
Intelligent Layer

Edge-to-cloud AI system routing vital signals, running automated triage lists, triggering risk flags, and enabling offline voice guidelines.

  • Neo4j semantic relationships
  • Offline Hindi & English Voice
  • ARIMA disease predictions
SwasthyaOS Core

Command center suite providing administrative access levels, epidemiological heatmaps, stock inventory alerts, and instant reports.

  • District Chief Medical Office Link
  • Unified State HQ dashboards
  • Instant PDF/Excel generation
Regulatory & Program Alignment
DPIIT
Startup India recognized
MSME
Registered Enterprise
Copyright
Software IP Protected
GeM Portal
Procurement ready
ABDM
HSPA compliant
DPDP Act
Patient privacy ready
EHR Standards
MoHFW certified
CERT-IN
Security audited
Patent Pending Innovation

Hybrid supply distribution &
UPI-like deferred settlement

Our priority-aware supply redistribution system separates physical medical stock movement from administrative accounting ownership to eliminate critical medicine stockouts in under-served villages.

1. Peer-to-Peer Redistribution Network

When a village or PHC faces stockout risk, our decision engine analyzes local surplus nodes and initiates direct horizontal peer-to-peer transfers (PHC ↔ PHC) instead of waiting for top-down district distribution.

Falls back to vertical escalation (PHC → CHC → District) only if nearby peer nodes are exhausted.

2. UPI-Like Deferred Ledger Settlement

Enables instant on-ground physical movement of life-saving medicines. The transaction is logged on a permissioned ledger instantly, while financial and budgetary reconciliation is aggregated and settled at the district level later.

Nets transactions periodically (e.g. PHC A sends 100 to B, B sends 80 to A → Net Settlement of 20 units).

3. Governance & Cryptographic Auditing

Integrates three validation tiers: Level 1 (Auto-approved small quantity nearby transfers), Level 2 (Supervisor notification), and Level 3 (District CMO manual approval). Maintains a secure, unalterable ledger history.

Tracks source, destination, timestamps, quantities, clinical urgency, and approval keys.
Surplus NodePHC Bhagana (A)
Surplus: +150 Units
Instant P2P Transfer (Iron Tablets)
Deficit NodePHC Satrod (B)
Deficit: -120 Units
District Settlement Engine
Physical inventory moves **instantly** to avoid medical shortages. Ledger nets A & B transactions at the end of the monthly supply schedule, adjusting subsequent stock rollouts from the District Warehouse automatically.
Netting ActiveBudget Safe

Partner With Us for a State Pilot

Are you representing a State National Health Mission (NHM), municipal corporation, or public healthcare NGO? We are currently booking partnerships for Phase 3 rollout blocks. Discuss customized FHIR API mappings and deployment options with our healthcare unit.

Download Swasthya Doot APK

Download the release binary directly to your Android test device or inspect it on the store.

Open on Play Store →

Request a State Pilot

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