Case Studies

Overview

At Smartify Software Solutions, we are continuously investing in research and innovation to solve real-world challenges using advanced technologies. One of our recent R&D initiatives focuses on transforming public service inspections through AI/ML-powered systems across Education, Healthcare, and Women & Child Welfare sectors.

Though not yet deployed or implemented commercially, this self-initiated research aims to reimagine inspection frameworks through digitization, automation, and intelligent analytics — laying the groundwork for data-driven governance.

Objective

To develop a unified, AI/ML-enabled public service monitoring system capable of:

  • Automating inspection processes
  • Enhancing data accuracy and transparency
  • Providing real-time insights for timely interventions
  • Improving policy delivery outcomes across key sectors

Education Monitoring System

Our AI-driven solution is designed to digitize and automate school inspections, empowering assessors with mobile-based tools for real-time evaluations.

Core Modules and Features

Pre-Data Modules

Pre-Data Modules

Includes student-teacher counts, infrastructure inventory, and nutritional plans.

Accessors Management

Automates inspection scheduling and field task allocation.

Custom Forms

Enables configurable MCQs, rating scales, remarks, and binary questions.

AI-Driven Inspections:

  • Attendance Tracking

    Using AI image processing

  • Mid-Day Meal Monitoring:

    With food recognition

  • Infrastructure Checks:

    For benches, boards, ICT tools

  • Quality Insights:

    on curriculum delivery and classroom engagement

Key Benefits:

  • Predict school dropout patterns

  • Drive targeted educational reforms

  • Monitor equitable resource distribution

  • Generate geo-based performance dashboards

Health Sector Monitoring System

Our AI/ML-based hospital inspection system enables healthcare quality monitoring at the grassroots.

Core Modules and Features:

  • Pre-Data Modules:
  • Doctor rosters
  • maternal programs
  • vaccination records

Inspection Modules

Doctor Availability

Verification with geo-tagged evidence

Medicine Inventory Audits

Track inventory levels (Full, Half, Low, Empty).

Patient Records Review

With AI quality validation

Maternal & Child Health Checks

Vaccination Storage & Compliance Reviews

Key Benefits

  • Improve public healthcare delivery

  • Address critical medicine shortages

  • Detect staffing gaps

  • Enable timely interventions and trend-based forecasting

Women & Child Welfare Monitoring

Our AI/ML solutions also extend to Women and Child Welfare by enabling accurate tracking of Anganwadi services, nutritional programs, and developmental schemes.

Core Modules and Features

Preloaded Data

  • Center details, staff information, scheme mapping.

Service Inspection Categories:

  • Nutrition, immunization, education, and safety

AI Integration Highlights:

  • Media validation through feature-matching
  • Service scoring (1–10 scale)
  • Smart form analysis with AI-verified evidence

Key Benefits:

  • Track malnutrition and service gaps

  • Validate scheme implementation

  • Improve transparency and operational efficiency

Technology Stack

AI/ML

For image recognition, data validation, predictive analytics

Geo-Tagging

For physical inspection traceability

Mobile Platforms

For offline/online inspection apps

Dashboards

For real-time data visualization and decision-making

Conclusion

While still in the R&D and prototyping phase, this case study represents Smartify’s visionary approach to public service transformation through AI/ML innovation. These systems, once adopted, have the potential to modernize governance, enhance accountability, and improve outcomes in critical sectors affecting millions.

We are open to collaboration with government agencies, development partners, and nonprofits for field-testing and implementation pilots.