CrazyGoldFish unifies fragmented tools — evaluation, personalization, content generation, and observation — into one AI reasoning layer that drives measurable outcomes for students, teachers, leaders, and parents.

Core Product Line

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Evaluate

Automate multi modal subjective assessment at scale.
  • Supports handwritten scans, typed responses, diagrams, audio, and video.
  • Flexible methods: rubric-based or model-answer/marking-scheme evaluation.
  • Transparent workflows with re-evaluation and queries.
Next → Evaluation results feed directly into Personalization APIs.

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Personalize

Convert evaluation data into actionable learning pathways.
  • Student Action Plans: learning targets, practice tasks, progress tracking.
  • Teacher Action Plans: reteach strategies, extension materials, group insights.
  • Parent Engagement Plans: weekly activities, simple explanations, guided support.
Next → Personalization drives tailored content generation in AI Studio.

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Generate

Instantly create curriculum-aligned educational content.
  • Lesson Plans: NEP-aligned, Bloom’s-structured with objectives and assessments.
  • Worksheets: adaptive difficulty, remedial content, printable/digital formats.
  • Exams & Model Answers: syllabus-aligned, skill-tagged, and consistent.
Next → Generated content adapts dynamically based on observation insights.

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Observe

Capture real classroom signals to enhance teaching effectiveness.
  • Classroom Recordings → AI processes talk-time, questioning, pacing, engagement.
  • Feedback Dashboards → Rubric-based teaching insights and coaching.
  • Adjustment Loop → Automatically refine lesson plans and worksheets.
Next → Observation data loops back into Evaluation and Content Generation.

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Engage

Close the loop with transparent communication and connection.
  • Students: annotated feedback and milestone roadmaps.
  • Teachers: grouped error insights and ready-to-use reteach strategies.
  • Leaders: compliance-ready dashboards and cohort analytics.
  • Parents: activity packs, homework updates, and simple reports.
Engagement ensures every stakeholder benefits from the integrated AI stack.