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Development of Scalable Attendance Tracking SaaS Platform with Enhanced Security and Automation Features
  1. case
  2. Development of Scalable Attendance Tracking SaaS Platform with Enhanced Security and Automation Features

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Development of Scalable Attendance Tracking SaaS Platform with Enhanced Security and Automation Features

softkraft.co
Education
Business services

Current Challenges in K12 Attendance Management

Manual attendance tracking processes consume excessive administrative time, lack automated intervention triggers, and require improved system scalability and security to support growing educational institutions.

About the Client

K12 attendance tracking solution provider automating student attendance, parent communication, and early interventions for educators

Key Goals for System Enhancement

  • Automate attendance tracking and parent communication workflows
  • Implement real-time intervention alerts based on attendance thresholds
  • Enhance system security with multi-factor authentication
  • Improve scalability to support multiple school districts
  • Reduce administrative workload through automated reporting

Core System Functionalities

  • Real-time attendance monitoring dashboard
  • Automated SMS/email notifications for absences
  • Multi-factor authentication (MFA) implementation
  • District-specific attendance threshold configurations
  • Incident tracking with intervention plan templates
  • PDF report generation for administrative records

Technology Stack Requirements

Python
Django
Pivotal Tracker
Sentry

External System Integrations

  • SMS gateway services (Twilio/Plivo)
  • Email delivery APIs (SendGrid)
  • Single Sign-On (SSO) providers
  • School district data management systems

System Performance Standards

  • 99.9% uptime SLA
  • Sub-200ms response time for core operations
  • Role-based access control (RBAC)
  • HIPAA-compliant data handling
  • Horizontal scalability for 1000+ concurrent users

Expected Business Outcomes

Reduction of administrative attendance management time by 60%, 40% faster intervention response times, and 30% lower operational costs through automated workflows and enhanced system reliability.

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