Robome
AI (Artificial Intelligence),
Machine Learning
We are hearing these words more often.
What do they mean ?
We are already surrounded by a lot of products and services which are built by AI, Machine Learning, and Deep Learning.
Robome Mobile App Coding
Objectives
to see the desired results based on data collection and analysis.
that can be found in everyday life.
6 Hands-On AI & Machine Learning Practice Modules
Moving beyond passive coding tutorials, students actively gather training data, construct real-time neural models, and build smart interactive applications directly on mobile tablets.
Speech-to-Text (STT) & Speech Synthesis (TTS)
Understand how intelligent systems perceive sound. Students program conversational AI agents that listen to spoken human speech, translate acoustic input into text, and synthesize vocal answers.
Number Recognition & Voice Math Calculator
Fuse voice parsing with mathematical computation. Children speak multi-step arithmetic problems out loud, while the algorithm identifies numbers, calculates solutions, and speaks back results.
Optical Character Recognition (OCR) & English Sentences
Turn the tablet camera into an optical scanner. Students build programs that inspect printed English words and phrases, decode visual typography, and trigger automated linguistic responses.
Interactive 3D Pyramid Hologram Coding
Combine optics and spatial projection. Learners project four-quadrant 3D graphics into a physical holographic pyramid, orchestrating dynamic character dance routines through real-time speech commands.
Custom Vision Models & Real-Time Accuracy Testing
Complete end-to-end machine learning lifecycle. Students snap training photos, assign categorical labels, train custom neural vision models, and evaluate prediction confidence scores (%) with the live camera.
Facial Landmarks, Emotion Detection & AR Filters
Analyze human expressions in real time. The app pinpoints key facial coordinates, classifies emotion states (happy, surprised, neutral), and overlays animated Augmented Reality (AR) masks that adapt dynamically.
See Robome Mobile App in Action
Watch how effortlessly elementary students navigate block-based coding, train machine learning vision models, and control 3D holographic projections directly from their tablets.
Official 3-Volume Curriculum Roadmap
Official 3-volume sequential scope & sequence designed for on-device AI, AR face masks, voice interaction, and 3D holograms on mobile devices.
Robome App: Start AI Coding
Foundational block coding and camera-based recognition. Students master object, number, text, gesture, brand, and face recognition mini games.
- Getting to Know the Coding Assistant
- Learning the Block Categories
- Real-Time Object Recognition
- Number Prediction & Mini Game
- Printed Character OCR Recognition
- Hand Gesture Triggers & Actions
- Brand Mark & Logo Detection
- Face Recognition Basics & Game
- Drawing Custom Face AR Masks
- Number Baseball AI Program
Robome App: Explore AR & Voice AI
Project-based course connecting AR masks with Speech-to-Text (STT/TTS) voice commands, conditionals, loops, lists, and AI accuracy labs.
- Core AR Blocks & Mask File Prep
- Put a Mask on a Face
- STT vs TTS & Voice Addition
- Voice Command Face Transforms
- Voice Variables & Final Scene
- Spoken Score & Grade Evaluator
- 1 to 10 Sum Loops & Voice Exit
- Large Number Voice Addition Lab
- List Data Extraction & Insertion
- Object Recognition Accuracy Rate
- Number Prediction Accuracy Rate
- English Letter Recognition Lab
Robome App: Create Hologram AI
Creative multimedia engineering with 3D pyramid holograms, speech synthesis (TTS), piano blocks, 11 voice-controlled character routines, and video playback.
- Face Mask Assets & DATA Download
- 3D Hologram Images & Delay Timing
- Hologram Speech TTS & Music Loops
- Character & Motion Configuration
- Motion Sequence Lists & Loops
- Spatial Hologram Performance
- Repeating Piano Notes & Timers
- Musical Note Lists & Melodies
- 11 Voice Commands (Walk, Sit, Jump...)
- Synchronized Video Projection
- Video Sound & Media Management
Recommended Devices
Samsung Galaxy Tab (S6 Lite / S9 / S10 series recommended) or Android Smartphones. 1:1 student device setup recommended.
Robome App 1.0
Available on Google Play Store. Free classroom installation with fast 1-click student account onboarding.
Classroom Environment
Operates smoothly over standard school Wi-Fi. Screen mirroring via smart TV or HDMI projector for instructor demos.
Robome PC Avatar App Coding
Objectives
without requiring expensive hardware, from image data collection and analysis to various outcomes.
6 Hands-On PC Vision AI & Avatar Modules
Zero hardware cost barrier. Utilizing standard desktop PCs and webcams, students experience full-cycle machine learning—from image collection and model training to real-time interactive computer vision.
3D Virtual Robot Avatar Programming
Program an interactive 3D Robome robot avatar on screen. Students write block logic to control robot expressions, head rotation, and animated reactions synchronized with real-time code events.
468 Facial Landmarks & Emotion Analysis
Analyze live webcam video using a dense 468-point facial mesh. The AI calculates real-time geometric coordinates to classify emotional states (Angry, Happy, Neutral) and mirrors them on the avatar.
Virtual Air-Keyboard & Contactless Touch
Transform physical air into a functional keyboard. Students map camera coordinates to virtual key boundaries, enabling users to type text and trigger hotkeys simply by hovering fingertips in mid-air.
Hand Skeletal Tracking & Gesture Game AI
Track 21 skeletal joints per hand simultaneously. Build an interactive Rock-Paper-Scissors referee that detects hand poses in real-time and evaluates victory conditions dynamically against the 3D avatar.
End-to-End TensorFlow Model Training
Experience authentic deep learning pipeline on PC. Capture multi-angle datasets (bag, pen, mouse, laptop), train a MobileNetV2 CNN model with real epoch/loss telemetry, and evaluate live accuracy (99.4%).
AI Game Engine & Strategic Gomoku Algorithms
Develop game intelligence using state-space search and minimax heuristics. Program board evaluation rules (3x3 restriction, 5-in-a-row detection) and challenge the AI in strategic board matches.
See Robome PC Avatar in Action
Experience 100% English block coding and computer vision AI in real time. Elementary students master AI concepts, train custom neural networks, and interact with 3D avatars directly using standard classroom PCs and webcams.
Official 3-Volume Curriculum Roadmap
Official 3-volume sequential scope & sequence designed for PC webcam Computer Vision, AR face filters, voice interaction, and 3D holograms.
Robome Avatar: Learn AI
Foundational block coding and camera-based recognition. Students master object, number, text, gesture, brand, and face recognition mini games.
- Getting to Know the Coding Assistant
- Learning the Block Categories
- Real-Time Object Recognition
- Number Prediction & Mini Game
- Printed Character OCR Recognition
- Hand Gesture Triggers & Actions
- Brand Mark & Logo Detection
- Face Recognition Basics & Game
- Drawing Custom Face AR Masks
- Number Baseball AI Program
Robome Avatar: Build with AI
Project-based course connecting AR masks with Speech-to-Text (STT/TTS) voice commands, conditionals, loops, lists, and AI accuracy labs.
- Core AR Blocks & Mask File Prep
- Put a Mask on a Face
- STT vs TTS & Voice Addition
- Voice Command Face Transforms
- Voice Variables & Final Scene
- Spoken Score & Grade Evaluator
- 1 to 10 Sum Loops & Voice Exit
- Large Number Voice Addition Lab
- List Data Extraction & Insertion
- Object Recognition Accuracy Rate
- Number Prediction Accuracy Rate
- English Letter Recognition Lab
Robome Avatar: Apply AI
Creative multimedia engineering with 3D pyramid holograms, speech synthesis (TTS), piano blocks, 11 voice-controlled character routines, and video playback.
- Face Mask Assets & DATA Download
- 3D Hologram Images & Delay Timing
- Hologram Speech TTS & Music Loops
- Character & Motion Configuration
- Motion Sequence Lists & Loops
- Spatial Hologram Performance
- Repeating Piano Notes & Timers
- Musical Note Lists & Melodies
- 11 Voice Commands (Walk, Sit, Jump...)
- Synchronized Video Projection
- Video Sound & Media Management
PC & Laptop Friendly
Windows 10 / 11 desktop or laptop. Standard school computer labs can run the software immediately with zero hardware upgrades.
Webcam Powered
Any standard built-in laptop webcam or budget USB external camera. Powers all facial mesh, hand tracking, and CNN models.
Zero Equipment Costs
No fragile motors, sensors, or expensive robot kits to purchase or maintain. Maximizes school budgets while teaching real AI.
Robome Image Recognition
Hardware & Software
Objectives
Robome Image Recognition Hardware & Software
A comprehensive physical computing and Edge AI course structured specifically for Middle and High School students. Students explore embedded Linux on Raspberry Pi 4, Arduino serial actuation, real-time facial recognition security systems, and deep learning neural networks.
Linux OS & Python 3 Programming
Set up Raspberry Pi 4 desktop environment, master essential Linux terminal commands (Bash), and develop structured algorithms using the Geany Python 3 IDE.
Big Data Preprocessing & Analytics
Collect and clean public datasets and multi-sensor streams. Utilize Python Pandas dataframes and Matplotlib charting to render live distributions, trendlines, and correlation metrics.
Dual-Controller Architecture & Sensors
Bridge Raspberry Pi 4 (master compute) and Arduino Uno (real-time I/O) via serial protocols. Wire breadboard circuits featuring ultrasonic, OLED, PIR motion, and RGB LED modules.
Smart Face Recognition Door Lock
Capture high-speed webcam video frames, detect facial landmarks using Haar Cascades, train a custom face model, and trigger an automated servo door lock with buzzer and LED indicators.
Edge AI Vision Classifier & CNN
Execute full-pipeline deep learning: image data collection, labeling, augmentation, Convolutional Neural Network (CNN) training, and low-latency edge inference on the embedded device.
LLM RAG Chatbot & Game Agent AI
Build a school FAQ chatbot using TF-IDF and Retrieval-Augmented Generation (RAG). Engineer an autonomous 2D dodge game agent using state-action-reward reinforcement learning.
Smart Door Lock with Facial Recognition
Witness secondary students connect Raspberry Pi 4 camera vision with Arduino physical computing. The system captures live facial frames, executes real-time identity verification, and actuates a micro servo door lock with instant audio-visual feedback.
💡 Complete stand-alone computing environment. Students can connect directly to standard monitors, mice, and keyboards without requiring a separate host PC.
Robome IoT Device Kit Components
An enterprise-grade physical computing kit engineered for secondary school computer labs, maker spaces, and STEM academies.
Raspberry Pi 4 Model B
Broadcom 64-bit Quad-Core ARM CPU, 4GB RAM, dual micro-HDMI 4K outputs, Gigabit Ethernet, dual-band Wi-Fi, and Raspberry Pi OS Linux.
Arduino Uno R3 Microcontroller
Dedicated ATmega328P microcontroller managing real-time PWM servo signals, analog sensor readings, and low-level digital I/O without OS jitter.
HD Vision Camera Module
High-resolution CSI/USB camera module mounted on an adjustable acrylic rig for capturing facial datasets, gestures, and object streams.
Smart Security Actuator Pack
Precision micro servo motor, custom clear acrylic "ROBOGRAM Door Lock" assembly, tri-color RGB indicator LEDs, and piezo buzzer alarm.
Touchscreen & Chassis
Integrated TFT touchscreen display and custom robotic acrylic chassis ("Robome") providing a self-contained portable workstation.
Multi-Sensor Suite
HC-SR04 ultrasonic distance sensor, PIR motion detector, I2C OLED display, MQ-2 gas/smoke sensor, joystick, and light sensors.
Prototyping Breadboard
830-point solderless breadboard, premium male-to-male and male-to-female jumper cables, resistors, push buttons, and safety fuses.
Heavy-Duty Storage Case
Compartmentalized high-durability organizer case designed for classroom deployment, quick component inventory, and easy storage.
Engineered Specifically for Middle & High School Students
Moving beyond block coding, secondary students gain authentic experience with text-based Python 3, Linux system administration, and circuit schematics.
Students collaborate in teams to solve real-world engineering challenges: from automated building access control to smart agriculture telemetry and conversational AI school assistants.
Progressive Engineering Curriculum
Structured in 4 progressive stages to guide secondary students from foundational systems to advanced edge intelligence.
Linux OS & Big Data Analytics
Raspberry Pi 4 configuration, Linux Bash commands, Geany IDE, public dataset preprocessing, and Matplotlib data visualization.
Dual-Controller IoT Circuits
Arduino and Raspberry Pi serial protocol design, breadboard circuit wiring, servo actuation, and multi-sensor interfacing.
Computer Vision & Smart Security
Webcam stream acquisition, facial landmark training, automated smart door lock deployment, and custom CNN object classification.
LLM Chatbot & Reinforcement AI
Building a school FAQ chatbot with TF-IDF/RAG, engineering a reinforcement learning game agent, and presenting team capstone projects.
Standalone Workstation
No PC host required. Simply plug in standard HDMI monitors, USB keyboards, and mice directly into the Raspberry Pi 4.
College Prep & Portfolio
Secondary students graduate with authentic GitHub repositories, Python code artifacts, and working physical computing prototypes.
Turnkey School Package
Complete instructor guides, student workbooks, pre-configured SD cards, and reusable hardware organizer kits for school labs.