SIH26095SoftwareSmart Automation
₹1,50,000 Prize (₹75k Joint)
•
Deadline: 20 September 2026
•
Submitted Ideas: 0/500

Smart Real-Time Monitoring & Inspection Mobile App

Ministry / Organization: Ministry of Social Justice and Empowerment (MoSJE)
Department: Department of Social Justice and Empowerment
Technical Complexity
8/10
Dataset Accessibility
7/10
36h Hackathon Viability
9/10
Step 0 • Zero-Jargon Layman Summary

“This is a digital watchdog app for government-funded projects. It uses live video, surprise video calls, and smart AI to ensure that NGOs and institutes are actually doing the work they claim to be doing, preventing fraud and improving service quality.”

The DecodeX PS Decoder™

Deconstructed Problem Blueprint

Step 1

WHAT TO BUILD?

A centralized mobile and web-based monitoring platform featuring live CCTV integration, automated random inspection scheduling, and AI-driven anomaly detection for field operations.

Step 2

WHO IS IT FOR?

Primary users: DoSJE officials (monitors), PMU teams (inspectors). Secondary users: NGO staff, institute heads, and beneficiaries.

Step 3

WHY DOES IT EXIST?

Manual inspections are infrequent, prone to corruption, and easily bypassed by 'proxy' reporting. There is currently no real-time, tamper-proof way to verify if beneficiaries are receiving services or if infrastructure projects are active.

Step 4

INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE

01 • Inputs & Telemetry

Live RTSP/HLS CCTV streams, GPS coordinates, inspection forms, beneficiary attendance logs, and automated inspection schedules.

02 • Processing & AI Core

AI-based attendance verification, anomaly detection (e.g., empty classrooms/centers), geo-fencing validation, and randomized scheduling algorithms.

03 • Actionable Deliverables

Real-time dashboards, automated alert notifications (SMS/Push), geo-tagged inspection reports, and audit-ready compliance logs.

Step 5

CONSTRAINTS

  • Must function in low-bandwidth/intermittent network areas
  • Data privacy and security for beneficiary information
  • Offline-first capability for field inspectors
  • Scalability across thousands of geographically dispersed NGOs
Step 6

JURY METRICS

  • System latency for live video streaming
  • Accuracy of AI-based attendance/anomaly detection
  • UI/UX ease of use for non-technical field staff
  • Tamper-proof integrity of geo-tagged reports
Step 7

CORE BOTTLENECK

The 'Randomized Inspection Assignment' logic must be mathematically fair and unpredictable to prevent collusion, while simultaneously handling the massive data load of real-time CCTV streams without crashing the server.

Why You Should Choose This PS (Pros)

  • High social impact with clear government alignment
  • Strong potential for real-world deployment
  • Clear, modular features that allow for rapid prototyping

Challenges & Risks to Watch (Cons)

  • High dependency on existing CCTV infrastructure at remote sites
  • Complex integration with legacy government systems
  • Potential resistance to adoption by field staff
Hackathon Blueprint

Recommended Tech Stack & Grand Finale Features

Frontend & Mobile
Flutter (for cross-platform mobile)React.js (for Admin Dashboard)
Backend & APIs
FastAPIWebSockets for real-time alertsNode.js
AI / ML & Models
YOLOv11 for object/person detectionMediaPipe for attendance verification
Database & Cloud
PostgreSQLRedis for real-time state managementAWS S3/MinIO for report storage

Killer Features to Impress the SIH Jury

Blockchain-based immutable audit trail for inspection reports
Offline-first 'Sync-on-Connect' architecture for remote field work
AI-powered 'Liveness Detection' during surprise video calls to prevent deepfakes
Predictive analytics to flag high-risk NGOs based on historical data
View Official SIH 2026 Portal Raw Text
▼
•Problem Statement Develop a centralized mobile application for real-time monitoring, surprise inspections, CCTV surveillance integration, and random inspection assignment for projects/institutes/NGOs running under DoSJE schemes.
•Key Features
•Live CCTV feed integration from projects/institutes
•Random Video Conferencing (VC) connectivity with Project Incharge/Staff/Beneficiaries
•Real-time monitoring dashboard for Department officials
•Mobile-based inspection module for PMU/Inspection Teams
•Random assignment of inspection duties through AI/automation
•Geo-tagged inspection reports and live evidence capture
•AI-based anomaly and attendance analytics
•Stakeholders
•DoSJE Divisions
•PMU Teams
•NGOs/Institutes
•Beneficiaries
•State/District Authorities
•Expected Outcomes:
•Improved transparency and accountability
•Reduction in fake reporting and proxy functioning
•Real-time monitoring of projects
•Better inspection governance and compliance
•Enhanced citizen-centric service delivery