School-Bot
School-Bot is the flagship innovation program at 6D.Varsity — a purpose-driven initiative that empowers learners to co-create an AI-enabled, modular, digital teaching assistant designed to deliver education in underserved, rural, and remote regions across the world.
What is School-Bot?
School-Bot is more than a robot. It’s a platform for solving the real challenges of education inequality. Designed and prototyped by students themselves, the bot can teach, assess, interact, sense emotion, and operate in multilingual, low-resource settings. It reflects the spirit of humanitarian engineering and grassroots innovation.
Futuristic Co-Learning by All Generations
School-Bot fosters cross-generational collaboration:
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Young learners (PUPS | Pre-University Problem Solvers) bring fresh empathy and creative vision.
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Tech students (Future Techies) build and integrate software, hardware, and interfaces.
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Researchers (Future Scientists) develop advanced models for emotion recognition, AI ethics, and human-machine interaction.
This collaborative process mirrors how real-world innovation happens — across disciplines and age groups, with a shared purpose.
How to Join the School-Bot Program
You can enter the School-Bot program through any of our three learning tracks:
Every chapter in the 6D ecosystem works on localized School-Bot projects with global visibility. Join a movement that is reimagining education — one innovation at a time.
PUPS in Action: School-Bot
Admission Paths
PUPS
Target Learners: Ages 8–16 (School Students)
Learning Objectives: Empathy, Observation, Basic Prototyping
Problem Engagement: Understanding school challenges in underserved areas
Core Skills Developed: Creative Thinking, Storyboarding, Empathy Mapping
Key Activities: Empathy interviews, sketching bot features, making simple models
Tools & Technologies: Cardboard, Markers, Clay, Craft Kits
Output Examples: Visual storyboards, clay models of classroom bots, use-case sketches
Future Techies
Target Learners: U.G., P.G. & Working Professionals
Learning Objectives: Build and integrate working School-Bot modules
Problem Engagement: Designing and developing real-time functional systems
Core Skills Developed: Embedded Systems, Robotics, UI/UX Design, IoT Integration
Key Activities: Bot hardware design, coding speech modules, creating interfaces
Tools & Technologies: Arduino, Raspberry Pi, Figma, Python, Sensors, ML APIs
Output Examples: Voice-enabled bot, digital attendance system, emotion display screens
Future Scientists
Target Learners: Researchers, U.G., P.G. & Working Professionals
Learning Objectives: Develop cognitive, behavioral, and adaptive models for School-Bot
Problem Engagement: Exploring deep AI models and human interaction frameworks
Core Skills Developed: Behavioral Analytics, AI Ethics, Educational Neuroscience
Key Activities: Model training, simulation, data analysis, ethics case studies
Tools & Technologies: TensorFlow, NLP Models, Eye Tracking, Design of Experiments
Output Examples: Emotion-responsive AI modules, attention-mapping engine, ethical decision matrix for bots
