This flow shows how a single exam script travels across all layers of CrazyGoldFish’s AI reasoning stack:
Evaluation → Personalization → Content Generation → Observation → back to Evaluation. It demonstrates how the system closes the loop to deliver measurable outcomes.

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Step-by-Step Journey

1

Exam Evaluation

  • Student’s handwritten exam is uploaded.
  • The Exam Evaluation Suite applies rubric/model-answer grading.
  • Outputs: scores, feedback JSON, annotated copies.
2

Personalization with Action Plans

  • Student Plans → personalized targets, practice tasks, milestones.
  • Teacher Plans → reteach strategies, group insights, extension content.
  • Parent Plans → activity packs + simplified progress reports.
3

Content Generation in AI Studio

  • Lesson Plan Builder → creates NEP-aligned, editable teaching scripts.
  • Worksheet Builder → generates remedial practice worksheets.
  • Outputs: ready-to-teach lesson packets, practice sets, and answer keys.
4

Classroom Observation via ClassTrack

  • Class sessions recorded and analyzed for pedagogy, engagement, and pacing.
  • Teacher Growth Reports, Parent Engagement Reports, Principal Dashboards are generated.
5

Continuous Improvement Loop

  • Observation data refines rubrics and evaluation criteria.
  • Teaching insights adjust lesson plans and worksheets in AI Studio.
  • Ecosystem loop resets for the next cycle of exams/assignments.

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Stakeholder Benefits

  • Students → Clear progress pathways, faster remediation, adaptive practice.
  • Teachers → Save 8–10 hours weekly on prep, guided reteaching strategies.
  • Leaders → Access dashboards for performance, compliance, and governance.
  • Parents → Transparent progress updates and activity packs.

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Ecosystem Integration

  • Evaluation Layer → Exam/Assignment grading.
  • Personalization Layer → Action Plans for Students, Teachers, Parents.
  • Content Generation Layer → Lesson Plans + Worksheets from AI Studio.
  • Observation Layer → ClassTrack analysis closes the loop.