05 / CASE STUDY2026 Edition

EduMind + EduMind AI

One product ecosystem with clear boundaries between the core application, AI services, and human decisions. It supports students, parents, teachers, psychologists, school admins, and system admins.

Client / OrganizationSchool wellbeing ecosystem
RoleTechnical Leadership & Software Engineering
Year2026 Edition
THE CHALLENGE

The requirements inventory spans 76 sub-features across 28 feature areas, while sensitive wellbeing insight needed secure integration, backend validation, fallback behavior, logging, and human review.

CONTRIBUTION

A data-driven school wellbeing platform with an AI layer for emotion-story classification, reflective insight, and human-reviewed recommendations.

OUTCOME

Mapped and supported delivery of a role-based wellbeing system with emotion check-ins, assessments, journaling, appointments, referrals, monitoring dashboards, and a governed AI support layer.

CAPABILITIES

What the work involved.

  1. 01Technical leadership
  2. 02System mapping and documentation
  3. 03Role-based wellbeing workflows
  4. 04FastAPI and Flask AI services
  5. 05Secured LLM integration
  6. 06Quality assurance and delivery
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