Case Studies

Our Journey of Innovation Through Client Stories

Odisha OPID Act – High-Volume Claim Document Management System

Artificial Intelligence (AI) and Machine Learning (ML) are transforming how businesses operate—enhancing automation, personalization, and decision-making across industries. At Secuodsoft, we deliver cutting-edge AI and ML development services tailored to solve real-world business challenges. Whether it’s predictive analytics, intelligent automation, or smart recommendations, we help companies unlock the true potential of their data.

Challenges

  • 6–7 documents per applicant across 45M+ claims
  • Secure multi-level officer access.
  • Tamper-proof storage and audit compliance.

Key Results

  • 99% faster processing via smart workflows.
  • Secure access for 1000+ officers.
  • Instant retrieval, zero data loss.
  • Scalable performance during peak loads.

Mukhyamantri Sikhya Puraskar (MSP) – Award Application DMS

A centralized digital system was deployed to manage scholarship and award applications across 60,000+ schools, streamlining document handling and eligibility checks.

Challenges

  • Massive document uploads from students and staff.
  • Fair, criteria-based evaluation.
  • Multi-stakeholder secure access.

Key Results

  • Faster application processing.
  • Transparent & traceable selection process.
  • Efficient document handling, reducing manual work.

Mo Booth – Smart Polling Booth Locator

The Mo Booth mobile app was designed to streamline the voting process by enabling citizens to locate their assigned polling booths and monitor real-time crowd density. The system successfully supported 15 lakh users in a single day, maintaining stability during peak traffic periods.

Challenges

  • Real-Time Crowd Analytics: Preventing overcrowding by providing accurate, up-to-the-minute crowd status updates.
  • Scalability Under High Load: Ensuring app performance during surges (e.g., morning voting hours).
  • Precision in Booth Mapping: Avoiding errors in booth assignments and navigation.
  • Cross-Platform Reliability: Delivering a consistent experience across iOS, Android, and low-end devices.

Solution Implemented

  • Live Crowd Heatmaps: Color-coded booth status (green/yellow/red) updated every 5 minutes using IoT sensors and user check-in data.
  • Cloud-Based Elastic Scaling: Deployed on AWS with auto-scaling groups and load balancers to handle 12,000+ concurrent users.
  • GPS + Voter ID Validation: Ensured booth accuracy by cross-refercing voter IDs with electoral rolls.
  • Offline Functionality: Cached booth locations and directions for areas with poor connectivity.

Results

  • Enhanced Voter Experience: 92% user satisfaction rate reported in post-election surveys.
  • Zero Downtime: Achieved 99.99% uptime during election day.

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