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शिक्षाby Grow10x
A smart laundry guard style build, as students make in Class 6
Class 6 · Foundations

Sense & respond.Smart Laundry Guard

Arduino basics, light and water sensing, servo logic and training data. Showcase build: a Smart Laundry Guard with sensor control and AI advice, each explained on its own.

  • 16 projects8 robotics, 4 AI, 4 integrated
  • 20 to 80Sessions by plan
  • Scratch to ArduinoMain language
  • Human in the loopAI to hardware
Class 6 at a glance

What students do, and what they prove.

Showcase build06

Smart Laundry Guard

A Smart Laundry Guard with sensor control and AI advice, each explained on its own.

Learning check. Build a sensor-response prototype and compare rule-based and learned decisions.

Individual check. Every learner, on their own: “Change a threshold.”

Entry task

Explain a closed circuit and read a simple block sequence.

Robotics core

Digital input and output, light and water sensing, servo control, if/else and thresholds.

AI layer

Training versus testing, balanced examples, confidence as a model score, and human review.

Code & tools

Scratch blocks, then short scaffolded Arduino C/C++. Arduino IDE, Tinkercad Class Seats, Teachable Machine.

Cross-subject link

Tables, thresholds, averages and fair tests.

Scaffolding

Short sketches with labelled pins. Change one variable at a time.

How AI meets hardware here

Human-mediated link between AI and hardware, with an optional trainer USB demo.

Class 6 project sequence

Sixteen projects, four blocks of twenty sessions.

Each block follows the same pattern: two builds, one AI project, then one integrated project. Open any project to see its five sessions.

  • RRobotics
  • AAI
  • IIntegrated
Block 1Sessions 01-20In every plan, from Discovery (3 months)

  1. 01
    Ask & understand · Week 1
    Breadboard and LED safety
  2. 02
    Build & design · Week 1
    Arduino upload and pin names
  3. 03
    Implement · Week 2
    Use setup, loop and timed outputs
  4. 04
    Test & improve · Week 2
    Debug a deliberate wiring or code fault
  5. 05
    Explain & reflect · Week 3
    Explain a working signal sequence
Materials

UNO, USB, breadboard, LEDs, resistors

Minimum test

Five repeats plus one corrected fault.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 06
    Ask & understand · Week 3
    Input-process-output and LDR
  2. 07
    Build & design · Week 4
    Read analog values and set a threshold
  3. 08
    Implement · Week 4
    Move a servo between safe positions
  4. 09
    Test & improve · Week 5
    Test threshold changes and power stability
  5. 10
    Explain & reflect · Week 5
    Explain the decision using if/else
Materials

UNO, LDR, resistors, servo, rated external supply

Minimum test

Five bright/dark cycles; no servo stall or board reset.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 11
    Ask & understand · Week 6
    Image examples versus water sensing
  2. 12
    Build & design · Week 6
    Label dry/wet fabric photos
  3. 13
    Implement · Week 7
    Train and keep test images separate
  4. 14
    Test & improve · Week 7
    Compare mistakes under different backgrounds
  5. 15
    Explain & reflect · Week 8
    Produce a small model card
Materials

Computer, no-code model tool, prepared fabric images

Minimum test

Twelve held-out images; report results rather than claim reliable rain prediction.

AI project

A model, an evaluation study or an AI-checking workflow.

Open the project page

  1. 16
    Ask & understand · Week 8
    Separate sensor rules from AI advice
  2. 17
    Build & design · Week 9
    Create an override decision chart
  3. 18
    Implement · Week 9
    Use AI predictions to advise the model operator
  4. 19
    Test & improve · Week 10
    Compare sensor readings with model advice
  5. 20
    Explain & reflect · Week 10
    Demonstrate disagreement handling
Materials

P02 servo rig, P03 model, fabric images, indicator

Minimum test

Eight scenarios; uncertain advice never triggers unsupervised motion.

Human in the loop

The AI suggests. A person checks and operates the hardware.

Open the project page
Block 2Sessions 21-40From the Builder plan (6 months)

  1. 21
    Ask & understand · Week 11
    Water sensor and dry-board layout
  2. 22
    Build & design · Week 11
    Read values and choose a threshold
  3. 23
    Implement · Week 12
    Build an LED/buzzer alert
  4. 24
    Test & improve · Week 12
    Test low/high levels with teacher handling
  5. 25
    Explain & reflect · Week 13
    Explain limitations of a classroom probe
Materials

Water sensor, UNO, buzzer/LED, spill tray

Minimum test

Three levels, three repeats; keep board outside the wet tray.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 26
    Ask & understand · Week 13
    Servo mechanism and joint limits
  2. 27
    Build & design · Week 14
    Read a push button reliably
  3. 28
    Implement · Week 14
    Program two door positions
  4. 29
    Test & improve · Week 15
    Test obstruction-free movement and override
  5. 30
    Explain & reflect · Week 15
    Present a clear state diagram
Materials

UNO, servo, button, external supply, cardboard door

Minimum test

Ten movements without forcing the servo.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 31
    Ask & understand · Week 16
    Goal, context and constraints
  2. 32
    Build & design · Week 16
    Build a science-explainer instruction template
  3. 33
    Implement · Week 17
    Compare teacher-generated responses
  4. 34
    Test & improve · Week 17
    Verify claims and rewrite unclear steps
  5. 35
    Explain & reflect · Week 18
    Save the reusable recipe and checks
Materials

Teacher AI access or printed outputs, reference cards

Minimum test

Three outputs checked against supplied sources.

AI project

A model, an evaluation study or an AI-checking workflow.

Open the project page

  1. 36
    Ask & understand · Week 18
    Define paper and plastic examples
  2. 37
    Build & design · Week 19
    Train a model using clean packaging pictures
  3. 38
    Implement · Week 19
    Map predictions to a manually approved servo position
  4. 39
    Test & improve · Week 20
    Test look-alike and unknown items
  5. 40
    Explain & reflect · Week 20
    Explain a model failure without hiding it
Materials

Computer, object images, P06 servo, manual button

Minimum test

Twelve unseen objects/pictures; ambiguous cases stay at neutral.

Human in the loop

The AI suggests. A person checks and operates the hardware.

Open the project page
Block 3Sessions 41-60Innovation plan (12 months)

  1. 41
    Ask & understand · Week 21
    Inputs, elapsed time and fair testing
  2. 42
    Build & design · Week 21
    Choose a stimulus and response rule
  3. 43
    Implement · Week 22
    Program LED start and button finish
  4. 44
    Test & improve · Week 22
    Take repeated readings and reject false starts
  5. 45
    Explain & reflect · Week 23
    Compare results without ranking pupils
Materials

UNO, LED, resistor, button, serial display

Minimum test

Five trials on the bench; record false-start handling.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 46
    Ask & understand · Week 23
    Analog sampling and serial output
  2. 47
    Build & design · Week 24
    Record LDR values into a table
  3. 48
    Implement · Week 24
    Build a live reading display
  4. 49
    Test & improve · Week 25
    Check repeated measurements at fixed light
  5. 50
    Explain & reflect · Week 25
    Explain measurement noise
Materials

UNO, LDR, resistors, computer

Minimum test

Three conditions with five readings each.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 51
    Ask & understand · Week 26
    Labels and missing examples
  2. 52
    Build & design · Week 26
    Inspect a deliberately poor dataset
  3. 53
    Implement · Week 27
    Repair labels and balance the classes
  4. 54
    Test & improve · Week 27
    Retest using unchanged held-out examples
  5. 55
    Explain & reflect · Week 28
    Document what improved and what did not
Materials

No-code model tool, prepared object-image dataset

Minimum test

One fixed twelve-case test set used before and after repair.

AI project

A model, an evaluation study or an AI-checking workflow.

Open the project page

  1. 56
    Ask & understand · Week 28
    Define light-cover examples
  2. 57
    Build & design · Week 29
    Train an image-based recommendation model
  3. 58
    Implement · Week 29
    Compare its advice with LDR readings
  4. 59
    Test & improve · Week 30
    Use a person to approve the servo response
  5. 60
    Explain & reflect · Week 30
    Present a disagreement log
Materials

P10 logger, P02 servo rig, teacher model viewer

Minimum test

Ten scenarios including three disagreements or unknowns.

Human in the loop

The AI suggests. A person checks and operates the hardware.

Open the project page
Block 4Sessions 61-80Innovation plan (12 months)

  1. 61
    Ask & understand · Week 31
    Map water level to a safe actuator
  2. 62
    Build & design · Week 31
    Plan separate power and wet/dry zones
  3. 63
    Implement · Week 32
    Program a model gate response
  4. 64
    Test & improve · Week 32
    Test threshold hysteresis and manual override
  5. 65
    Explain & reflect · Week 33
    Explain why the model is not a real tank controller
Materials

UNO, water sensor, servo, tray, approved power

Minimum test

Three levels and an override test; no mains or real plumbing.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 66
    Ask & understand · Week 33
    Combine light and water signals
  2. 67
    Build & design · Week 34
    Create a small truth table
  3. 68
    Implement · Week 34
    Program status LEDs and buzzer rules
  4. 69
    Test & improve · Week 35
    Test all sensor-state combinations
  5. 70
    Explain & reflect · Week 35
    Explain difference between conditions and forecasts
Materials

UNO, LDR, water sensor, LEDs, buzzer

Minimum test

All four bright/dark and wet/dry combinations.

Hands-on build

A physical circuit, sensor or mechanism, built and tested on the bench.

Open the project page

  1. 71
    Ask & understand · Week 36
    What a good explanation contains
  2. 72
    Build & design · Week 36
    Create a reusable review checklist
  3. 73
    Implement · Week 37
    Ask the teacher tool to explain a supplied circuit
  4. 74
    Test & improve · Week 37
    Identify a wrong pin or unsupported claim
  5. 75
    Explain & reflect · Week 38
    Improve the recipe using evidence
Materials

Teacher outputs, circuit diagram, source cards

Minimum test

Verify five technical claims and flag one seeded error.

AI project

A model, an evaluation study or an AI-checking workflow.

Open the project page

  1. 76
    Ask & understand · Week 38
    Define the cover-control specification
  2. 77
    Build & design · Week 39
    Assemble and label the rule-based model
  3. 78
    Implement · Week 39
    Add a supervised visual-condition adviser
  4. 79
    Test & improve · Week 40
    Test sensor/model disagreement and override
  5. 80
    Explain & reflect · Week 40
    Deliver a model card and engineering demo
Materials

Laundry kit, approved servo power, computer, P03/P11 model

Minimum test

Ten combined trials; safety/override checked independently of model accuracy.

Human in the loop

The AI suggests. A person checks and operates the hardware.

Open the project page
How thinking grows

Class 6 adds one more layer of judgement.

Hardware thinking

Thresholds and bounded servo response

AI & data thinking

Train and test examples, balanced data

Programming depth

Blocks to short Arduino sketches

Reusable skill

Goal, inputs, steps and expected answer.

Tool and permission habit

A code library adds functions. It is not intelligence.

Evidence

Three checked examples.

Arduino IDETinkercad Class SeatsTeachable Machine
Two teachers guiding uniformed students as they build a robot car in a classroomFor school leaders

Bring Class 6
to your school.

Start with the four Discovery projects for Class 6 (20 sessions), review the evidence together, then extend to Builder or Innovation.

  • Prospectus and class-wise plan
  • Kit and readiness check
  • Pilot one class first
  • Evidence at every milestone
School enquiry

Let's plan your pilot.

Share a few details and we will send the right plan for your classes.

Classes you are considering

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