Secure, Interactive 3D Virtual AI for K12
LabCraft develops secure, interactive 3D virtual AI image recognition systems for K12 education. Students examine virtual biological and physical specimens on screen, see how an AI model recognises what it is looking at, and connect that experience to the topics they are studying in class.
Engages students with immersive virtual biological and physical specimens while supporting curriculum-aligned learning modules.
What the work covers
Interactive 3D virtual AI image recognition systems designed specifically for K12 educational environments.
- Interactive 3D specimens: virtual biological and physical objects that students can rotate, compare and examine from different angles.
- Visible image recognition: students watch a model label and classify what it sees, making an abstract technology concrete.
- Curriculum-aligned modules: learning activities organised around the topics teachers already cover, rather than a stand-alone novelty.
- Secure by design: systems planned around the privacy and access expectations of schools and districts from the outset.
Learning through classification
A recognition exercise asks students to predict how an object will be classified, test the prediction in the virtual scene, and discuss why the result came out as it did. The goal is curiosity and reasoning, not memorising labels.
Built around the classroom
Lessons need to fit a class period, work on the devices a school already has, and give teachers a clear view of what students did. Scope for teacher-facing views and module structure is agreed with each school during planning.
Where it applies
- Life science lessonsExploring virtual biological specimens where physical samples are limited, fragile or unavailable.
- Physical science and shapesExamining virtual physical objects and how their features drive recognition.
- Introduction to AI literacyShowing students, step by step, how image recognition reaches a decision.
- Elective and STEM programmesProject-based modules for clubs, enrichment sessions or technology electives.
How we work together
- Discovery with educators: grade levels, subjects, devices and any privacy requirements.
- Module planning: which specimens, recognition activities and learning goals to include.
- Iterative development with classroom review points.
- Deployment support and refinement based on teacher feedback.
Email an inquiry
To discuss 3D virtual AI image recognition for K12, write to business@labcraft.store. It helps to include:
- Grade levels and subjects you have in mind
- Devices and platforms used in your classrooms
- Privacy or data requirements from your school or district
- Preferred timeline for a pilot or rollout