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Class 6 ยท Ages 11โ€“12 ยท ๐Ÿ”ฅ Intermediate+

Class 6
๐Ÿง  Machine Learning & IoT

Train AI models, connect to the internet, and design PCBs! Hands-on projects, simulators, and challenges aligned with NCERT and IB curriculum.

Class 6
Ages 11โ€“12
NCERT Aligned
IB Framework
6 Modules
4 Projects

What You'll Learn

6 comprehensive modules covering everything from theory to hands-on projects!

๐Ÿง 
Intro to Machine Learning
Train an image classifier using Google Teachable Machine. Teach it to recognise gestures, objects, and faces. Export the model and embed it in a webpage!
Teachable MachineImage ClassificationMLBrowser AI
๐Ÿ
Python + Data Science
Use Python pandas and matplotlib to analyse and visualise real datasets. Create bar charts, scatter plots, and pie charts. Understand what data scientists actually do!
pandasmatplotlibCSVData Analysis
โ˜๏ธ
IoT โ€” Internet of Things
Connect an ESP8266 to WiFi. Send sensor readings to ThingSpeak cloud. Monitor your room temperature from anywhere in the world on your phone!
ESP8266WiFiThingSpeakCloud IoT
๐Ÿ”Œ
PCB Design with EasyEDA
Understand resistors, capacitors, and transistors. Design a simple LED circuit on EasyEDA (PCB software). Learn how professional electronics are designed!
EasyEDAPCBResistorsElectronics
๐Ÿš—
Obstacle Avoidance โ€” Advanced
Build a maze-solving robot using multiple ultrasonic sensors and a left-hand-rule algorithm. Navigate a full maze autonomously โ€” just like self-driving cars!
MazeLeft-Hand RuleUltrasonicAutonomous
๐Ÿ–จ๏ธ
Fusion 360 โ€” Advanced 3D
Design robot components in Fusion 360: gears, brackets, and sensor mounts. Understand tolerances, constraints, and parametric design for functional parts.
Fusion 360ParametricGearsEngineering

Try It Right Now!

8 interactive simulators โ€” code editor, robot sim, circuit lab, quiz, binary game, AI pattern, sequences, and sorting!

๐Ÿ–ฅ๏ธ Remesys Interactive Lab โ€” Class 6

class6_code.py
โ–ถ Click "Run Code" to see output!
Ready
๐Ÿ•น๏ธ CONTROLS
๐Ÿ“ก LIVE SENSORS
๐Ÿ”Š Ultrasonic --
๐ŸŒก๏ธ Temperature 28ยฐC
๐Ÿ’ก Light (LDR) --
๐Ÿ”‹ Battery 85%
Select a component above, then click on the canvas to place it!
Score: 0
Q: 1/5
Level: Beginner ๐ŸŒฑ

Convert the decimal number to binary! Score streak points!

Convert this number to binary:

Score: 0 | Best: 0
2โท
128
2โถ
64
2โต
32
2โด
16
2ยณ
8
2ยฒ
4
2ยน
2
2โฐ
1

Draw a pattern, teach the AI, then draw a similar one and see if it recognises it!

Spot the number pattern and type the next number โ€” just like AI sequence prediction!

Drag each item into the correct bin โ€” just like an AI sorting algorithm!

๐ŸŽ FRUIT
๐Ÿš— VEHICLE
๐Ÿถ ANIMAL
Correct: 0 | Wrong: 0

Class 6 Projects

Real hands-on projects you'll build during the year!

๐Ÿง 
โšก Medium
AI Gesture Classifier
Train a Teachable Machine model to recognise 5 hand gestures and trigger Arduino actions!
โฑ๏ธ 8 hrs
๐ŸŒค๏ธ
๐Ÿ”ฅ Advanced
IoT Weather Station
Real-time temp/humidity/light station that uploads data to ThingSpeak cloud dashboard!
โฑ๏ธ 10 hrs
๐Ÿ“Š
โšก Medium
Data Science Dashboard
Python script that reads CSV sensor data and creates beautiful matplotlib visualisations.
โฑ๏ธ 5 hrs
๐Ÿ 
๐Ÿ”ฅ Advanced
Smart Home v2 โ€” IoT Connected
Upgraded smart home from Class 5 with cloud connectivity and remote smartphone control!
โฑ๏ธ 14 hrs

Class 6 Roadmap

2 classes per week, quarterly projects, and the Annual Innovation Showcase

6

Class 6 โ€” Full Year Schedule

40 weeks ยท 2 classes/week ยท 80 sessions

Wk 1โ€“4Google Teachable Machine โ€” train image classifier
Wk 5โ€“6Python pandas + matplotlib data analysis
Wk 7โ€“10IoT โ€” ESP8266 WiFi + ThingSpeak
Wk 9โ€“10Q1 Project โ€” IoT Weather Station ๐ŸŒค๏ธ
Wk 11โ€“12PCB design with EasyEDA
Wk 13โ€“16Maze-solving robot โ€” left-hand rule
Wk 17โ€“18Fusion 360 โ€” gear and bracket design
Wk 19โ€“20Q2 Project โ€” AI Gesture Classifier ๐Ÿง 
Wk 21โ€“28Data science projects, ML deepening
Wk 29โ€“40Annual Showcase โ€” Smart IoT Invention ๐Ÿ†

Common Questions

Does the AI actually learn in Class 6 projects? โ–ผ
Yes! Google Teachable Machine is a real ML tool. Students train a genuine neural network model that can classify images in real time.
Is IoT safe for students to use? โ–ผ
We use safe, education-grade cloud services (ThingSpeak) and WiFi modules that only transmit temperature/sensor data. No personal data is ever transmitted.
How does the quarterly project work? โ–ผ
Every 10 weeks, students complete a major project. They design, build, test and present it to the class. Feedback is given by teachers and peers. This mirrors real engineering and design-thinking workflows!
Can I use this simulator to practise at home? โ–ผ
Yes! The simulators on this page work in any modern browser โ€” no installation needed. Students can practise coding, circuit design, and robot control from home anytime!
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