GIANTY developed a cutting-edge AI Classroom Analysis system that uses video analysis to help schools and skill classes better understand student engagement and participation.
Every teacher knows the feeling: you’re focused on explaining a lesson, but at the same time, 30 students are in front of you – some listening, some distracted, some lost but too shy to say so. Parents, meanwhile, rarely get to see what happens in class. They only see grades or hear a quick summary at the end of the day.
The truth is, much of the classroom dynamic goes unnoticed. Early signs of disengagement or confusion slip through the cracks. Teachers rely on memory and personal observation, and parents remain in the dark. That’s where AI can help.
The Challenge
Classrooms are complex, fast-moving environments. Teachers can’t monitor every student’s focus, body language, or participation in real time. Parents want more transparency, but schools struggle to provide meaningful insights beyond test results.
Challenges include:
- Hard for teachers to track each student’s attention and participation.
- Parents have little insight into their child’s daily learning.
- Early signs of confusion or disengagement are often missed.
- Teachers rely on personal observation, which can be inconsistent.
- No clear data to guide changes in teaching or to support students better.
To address these challenges, we developed an AI Classroom Analysis System designed to turn classroom recordings into clear, structured insights for teachers and parents.
Project Overview
To address these gaps, GIANTY set out to design an AI Classroom Analysis System: a proof-of-concept project to turn ordinary classroom recordings into clear, structured insights for teachers, parents, and students.
The goal was simple: show how video analysis and speech transcription could make the invisible visible, all while keeping students anonymous and protecting privacy.
- Client’s Domain: Education
- Country: Singapore
- Duration: 2 months pilot
- AI Models: Google Gemini, ByteTrack/SORT
- Outcome: A working prototype that processes recorded lessons and delivers meaningful reports for different stakeholders.
AI Classroom Analysis System: How It Works in Real Classrooms
So what does AI Classroom Analysis system actually look like?
Here’s a simplified, non-technical picture:
- Anonymous tracking: Each student in a recorded classroom video is represented by a number, not a face. The system “remembers” who is who across frames without storing any biometric data.
- Visual analysis: The AI observes participation signals — who raises their hand, who is leaning forward in focus, who seems distracted.
- Speech transcription: The lesson’s audio is converted into text, and dialogue is attributed to the correct students where possible.
- Data fusion: Visual and verbal information are merged into a single timeline. This lets teachers see who was present, what was said, and how students responded.
- Reporting: The system generates clear reports for different stakeholders. Teachers might get detailed metrics; parents see a simpler view of engagement. Students receive recaps and personalized quiz questions based on areas where confusion was detected.
The result isn’t a futuristic robot teacher. It’s a digital assistant that helps human educators and parents understand the invisible dynamics of learning.
Results & Benefits
Even in this early stage, the pilot delivered clear insights and proof of concept for AI Classroom Analysis:
- Objective insights for teachers: see patterns of attention, participation, and confusion beyond what is visible in real time
- Enhanced parent transparency: parents receive meaningful snapshots of their child’s in-class behavior
- Personalized learning support: recaps and quizzes targeted to students’ weak points
- Pilot validation: the prototype processed multiple classroom videos end-to-end, demonstrating the viability of the approach
Impact snapshots of the AI Classroom Analysis system:
- Faster detection of students needing help
- More data-driven feedback loops
- Confidence in the practicality of AI in classroom settings.
Final Thoughts
The AI Classroom Analysis System is a glimpse into the future of education: one where lessons aren’t just delivered, but measured for effectiveness. Where teachers, parents, and students all gain visibility into the learning journey.
At GIANTY, we believe the future of AI development in education lies in making classrooms more transparent, measurable, and supportive for everyone involved.
Do you have ideas for how AI could reshape learning? Let’s explore them together – contact GIANTY to turn your vision into reality.
