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Home AI & Robotics
New Programme · 2025–26

AI & Robotics
School

From the first resistor to autonomous robots and machine learning — a complete hands-on journey for curious minds of all ages.

⚡ Electronics Basics
🤖 Arduino & Sensors
🧠 AI & ML
🐍 Python Coding
🎓 Ages 8–18
8+
Age Group
5★
Rated
12
Core Modules
3
Skill Levels
20+
Hands-on Projects
36
Weeks Full Course
100%
Practical Learning

Three Levels, One Journey

Every student starts from the fundamentals and progresses through structured levels — no prior experience needed.

🌱
Beginner
Electronics Foundations & Introduction to Robotics
Ages 8–12 · 12 Weeks
Electricity, voltage & current basics
🔧
Components: resistors, LEDs, capacitors
💡
Build simple circuits on breadboards
🤖
Introduction to Arduino microcontroller
🐍
Block-based coding & Scratch basics
⚙️
Intermediate
Robotics Engineering & Python Programming
Ages 12–16 · 12 Weeks
🐍
Python programming fundamentals
📡
Sensors, actuators & motor control
🚗
Build line-follower & obstacle robots
📶
IoT basics — WiFi, Bluetooth control
📊
Data collection with sensors
🧠
Advanced
Artificial Intelligence & Machine Learning
Ages 14–18 · 12 Weeks
🧠
AI concepts & neural networks
👁️
Computer vision & image recognition
💬
Natural language processing basics
🤖
Autonomous robot with AI brain
🏆
Final capstone AI project

All Course Modules

Every module is hands-on — you learn by building, experimenting, and solving real problems.

M1
Electricity & Electronics Basics
Electronics

Understand how electricity works — from atoms and electrons to voltage, current and resistance. The foundation of everything you will build.

What is electricity? Conductors & insulators
Ohm's Law — V = I × R in practice
Series & parallel circuits
Using a multimeter safely
Reading colour-coded resistors
M2
Electronic Components & Breadboards
Beginner

Get hands-on with real components. Learn to identify and use resistors, capacitors, LEDs, transistors and diodes on a prototyping breadboard.

Resistors, capacitors, inductors
LEDs, diodes & transistors
Breadboard prototyping techniques
Build: LED flasher circuit
Build: Touch sensor circuit
M3
Introduction to Arduino
Beginner

Meet the Arduino — the brain of your first robot. Learn to set it up, write simple programs, and control real-world outputs like lights and buzzers.

What is a microcontroller?
Arduino IDE setup & first sketch
Digital I/O — blink an LED
Analog input — reading sensors
Build: Traffic light controller
M4
Sensors & Actuators
Beginner

Robots sense their environment and act on it. Learn to use ultrasonic distance sensors, temperature sensors, servo motors and buzzers.

Ultrasonic sensor (HC-SR04)
Temperature & humidity (DHT11)
PIR motion sensor
Servo motors & DC motors
Build: Automatic door opener
M5
Python Programming Fundamentals
Intermediate

Python is the language of AI. Master the essentials — variables, loops, functions, lists and logic — with fun mini-projects along the way.

Variables, data types & operators
Conditionals & loops
Functions & modules
Lists, tuples & dictionaries
File handling & error handling
M6
Robot Chassis & Motor Control
Intermediate

Build your first wheeled robot from scratch. Learn about motor driver ICs, PWM speed control, and how to program precise movements.

Robot chassis assembly
L298N motor driver module
PWM speed control
Encoder-based precision movement
Build: 4-wheel drive robot car
M7
Line Following & Obstacle Avoidance
Intermediate

Program intelligent robot behaviours. Use IR sensors for line following and ultrasonic sensors to detect and avoid obstacles automatically.

IR sensor array for line detection
PID control algorithm basics
Obstacle detection logic
State machine programming
Build: Autonomous line-follower bot
M8
IoT & Wireless Control
Intermediate

Connect your robot to the internet. Control it from a smartphone app, send sensor data to the cloud, and explore the world of connected devices.

ESP8266 / NodeMCU WiFi module
Bluetooth HC-05 control
Blynk IoT dashboard
MQTT protocol basics
Build: WiFi-controlled robot car
M9
Introduction to Artificial Intelligence
Advanced

What is AI and how does it think? Explore the history of AI, the difference between AI, ML, and Deep Learning, and how machines learn from data.

History & types of AI
AI vs ML vs Deep Learning
Training data & datasets
Supervised vs unsupervised learning
Hands-on: Teachable Machine
M10
Computer Vision & Image Recognition
Advanced

Give your robot the power to see. Use OpenCV and a camera module to detect faces, recognize objects, read QR codes and follow colored targets.

How cameras & image data work
OpenCV basics with Python
Face detection with Haar Cascades
Colour detection & object tracking
Build: Camera-guided robot
M11
Machine Learning with Python
Advanced

Train your own AI models. Use scikit-learn to build classifiers that can recognise patterns, predict outcomes, and make decisions from real sensor data.

NumPy & Pandas for data
Linear regression & classification
Decision trees & random forests
Neural networks with TensorFlow Lite
Deploy model on Raspberry Pi
M12
Capstone: Autonomous AI Robot
Advanced

The ultimate challenge — design, build and program a fully autonomous robot that uses AI to perceive its environment and make independent decisions.

Project design & planning
Sensor fusion (camera + ultrasonic)
AI decision-making integration
Testing, debugging & iteration
🏆 Demo Day presentation

Your Learning Journey

A structured path from zero to AI-powered robotics.

Phase 1 · Weeks 1–4
Electronics Foundations
Master the physical world — circuits, components, and how to read schematics. Build real circuits that light up, buzz, and sense your touch.
M1 · M2
🤖
Phase 2 · Weeks 5–8
Arduino & Sensors
Program your first microcontroller. Make it respond to the real world using distance, temperature, and motion sensors.
M3 · M4
Phase 3 · Weeks 9–12
Python & Robot Building
Learn Python — the language AI is built with. Simultaneously build your first robot chassis and control it with code.
M5 · M6
🐍
🚗
Phase 4 · Weeks 13–17
Intelligent Behaviours & IoT
Make your robot smart — it can follow lines, avoid walls, and be controlled wirelessly from your smartphone over WiFi.
M7 · M8
Phase 5 · Weeks 18–22
Artificial Intelligence
Enter the world of AI — understand how machines learn, train your own image classifiers, and explore neural networks.
M9 · M10
🧠
📊
Phase 6 · Weeks 23–28
Machine Learning
Train and deploy ML models with Python. Collect real sensor data, build classifiers, and run a neural network on a Raspberry Pi.
M11
Phase 7 · Weeks 29–36
🏆 Capstone Project
Design and build your autonomous AI robot. Integrate everything you've learned. Present your creation at EduNext Demo Day.
M12
🏆

Tools & Technologies

Industry-standard hardware and software used by engineers and researchers worldwide.

🔌
Arduino Uno
Microcontroller
🍓
Raspberry Pi
Mini Computer
🐍
Python 3
Programming
👁️
OpenCV
Computer Vision
🧠
TensorFlow Lite
Machine Learning
📊
scikit-learn
ML Library
📡
ESP8266 / IoT
Wireless
🔧
Multimeter
Measurement
⚙️
Servo & DC Motors
Actuators
📷
Camera Module
Vision Sensor
🌡️
DHT11 / HC-SR04
Sensors
💻
VS Code / IDE
Code Editor

What You'll Build

Every project is a real, working creation you can take home and show off.

💡BEGINNER
LED Traffic Light Controller
Build a working traffic signal with Arduino, controlling red, yellow and green LEDs with timed sequences using code.
🚪BEGINNER
Automatic Door Opener
Use a PIR motion sensor to detect people and trigger a servo motor that automatically opens and closes a door model.
🚗INTERMEDIATE
Line-Following Robot
A wheeled robot that uses infrared sensors to detect and follow a black line track on the floor, autonomously.
📱INTERMEDIATE
WiFi Robot Car
Control a fully built robot car from your smartphone browser over your home WiFi network using ESP8266.
🌡️INTERMEDIATE
IoT Weather Station
Collect temperature, humidity and air quality data and display it live on a cloud dashboard accessible from anywhere.
👁️ADVANCED
Face-Detection Security Bot
A Raspberry Pi robot that uses a camera and OpenCV to detect faces, sound an alarm for unknowns, and greet known persons.
🗑️ADVANCED
AI Waste Sorter
Train an image classifier to identify recyclable vs non-recyclable items and control a sorting mechanism automatically.
🏆CAPSTONE
Autonomous AI Robot
Your final masterpiece — a fully autonomous robot with computer vision, ML decision-making, and wireless communication. Presented at Demo Day.

Projects for School Competitions

Perfect for science fairs, school exhibitions, and inter-school competitions. Each project lists every module and component students need — so you know exactly what skills are required before you begin.

Class 6–8
🌱
Smart Plant Watering System
Automatic irrigation using soil moisture detection
📦 Modules Used
M2 · Electronic Components M3 · Arduino Basics M4 · Sensors & Actuators
🔩 Components Needed
🔌Arduino Uno
💧Soil Moisture Sensor
⚙️5V Relay Module
🔧Mini Water Pump
💡LED Indicators (R/G)
🔋9V Battery / Adapter
🎯 Concepts Demonstrated
Analog sensor reading · Threshold logic · Relay switching · Real-world automation
● Easy ⏱ 3–4 hrs build time 🏆 Exhibition Ready
Class 6–8
🌡️
Digital Thermometer & Fever Alert
Temperature monitor with buzzer alarm for fever detection
📦 Modules Used
M2 · Electronic Components M3 · Arduino Basics M4 · Sensors & Actuators
🔩 Components Needed
🔌Arduino Uno
🌡️DHT11 / DS18B20 Sensor
📺16×2 LCD Display
🔔Piezo Buzzer
💡Red LED (alert indicator)
🔲I2C Module for LCD
🎯 Concepts Demonstrated
Sensor calibration · LCD display output · Conditional alerts · Health monitoring basics
● Easy ⏱ 2–3 hrs build time 🏆 Exhibition Ready
Class 6–8
💡
Smart Street Light System
Lights that turn on automatically at dusk and off at dawn
📦 Modules Used
M1 · Electricity Basics M2 · Electronic Components M3 · Arduino Basics
🔩 Components Needed
🔌Arduino Uno
☀️LDR (Light Dependent Resistor)
⚙️5V Relay
💡White LEDs (street lights)
🔧10kΩ Resistor
🏗️Cardboard model town
🎯 Concepts Demonstrated
LDR voltage divider · Analog threshold · Relay control · Energy conservation
● Easy ⏱ 2–3 hrs build time 🏆 Exhibition Ready
Class 9–10
🌫️
Air Quality Monitor
Real-time AQI display with pollution level alerts
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M8 · IoT & Wireless
🔩 Components Needed
🔌Arduino Uno / NodeMCU
💨MQ-135 Air Quality Sensor
💨MQ-7 CO Sensor
📺OLED Display (0.96")
🔔Buzzer (alarm)
📡WiFi module (optional live dashboard)
🎯 Concepts Demonstrated
Gas sensor calibration · PPM calculation · OLED I2C · Data logging · Environmental science
● Medium ⏱ 4–5 hrs build time 🥇 Competition Favourite
Class 9–10
🦺
Blind Person Navigation Assistant
Ultrasonic obstacle alert wearable with haptic feedback
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M6 · Robot & Motor Control
🔩 Components Needed
🔌Arduino Nano
📡HC-SR04 Ultrasonic Sensor ×2
📳Vibration Motor Module
🔔Piezo Buzzer
🔋Li-Po Battery 3.7V
🧢Wearable glove / belt mount
🎯 Concepts Demonstrated
Distance measurement · PWM haptic control · Proximity zones · Assistive technology · Social impact
● Medium ⏱ 5–6 hrs build time 🥇 Best Innovation Award
Class 9–10
🌊
Flood & Water Level Alert System
Early warning system with SMS / buzzer notification
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M8 · IoT & Wireless
🔩 Components Needed
🔌Arduino Uno / NodeMCU
💧Water Level Sensor
📡HC-SR04 Ultrasonic Sensor
📺LCD 16×2 Display
🔔Buzzer + Red/Green LEDs
📱GSM SIM800L (SMS alert)
🎯 Concepts Demonstrated
Multi-level threshold detection · GSM communication · Disaster management · IoT alerts
● Medium ⏱ 5–6 hrs build time 🥇 Competition Favourite
Class 9–10
🚦
Smart Traffic Management System
Density-based adaptive traffic signals using IR sensors
📦 Modules Used
M2 · Electronic Components M3 · Arduino Basics M4 · Sensors & Actuators
🔩 Components Needed
🔌Arduino Mega / Uno ×2
🔴IR Obstacle Sensors ×4
💡RGB LEDs × 12 (4 junctions)
📺7-Segment display (countdown)
🔧Resistors & jumper wires
🏗️4-way road model (cardboard)
🎯 Concepts Demonstrated
Adaptive algorithms · Sensor array logic · Urban planning · Traffic flow optimization
● Medium ⏱ 6–8 hrs build time 🥇 Best Engineering Project
Class 11–12
☀️
Solar Panel Auto-Tracker
Dual-axis solar tracker for maximum energy harvesting
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M6 · Motor Control M5 · Python Basics
🔩 Components Needed
🔌Arduino Uno
☀️LDR sensors ×4
⚙️Servo Motors SG90 ×2
🔆Mini Solar Panel
📊Voltage / Current sensor
📺OLED Display
🎯 Concepts Demonstrated
Servo PWM control · Light direction algorithm · Renewable energy · Efficiency comparison
● Advanced ⏱ 6–8 hrs build time 🥇 Best Science Project
Class 11–12
❤️
Heart Rate & SpO₂ Monitor
Pulse oximeter with live display and alert system
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M8 · IoT & Wireless M5 · Python
🔩 Components Needed
🔌Arduino Uno / ESP32
❤️MAX30100 / MAX30102 Sensor
📺OLED 0.96" Display
🔔Buzzer (low SpO₂ alarm)
📱WiFi (ESP32) — live dashboard
🔋Li-Po battery pack
🎯 Concepts Demonstrated
Photoplethysmography (PPG) · I2C protocol · BPM calculation · Health IoT · Medical electronics
● Advanced ⏱ 7–9 hrs build time 🥇 Best Innovation
Class 11–12
🏠
Smart Home Automation System
Voice + app controlled lights, fan, and security from anywhere
📦 Modules Used
M3 · Arduino Basics M4 · Sensors & Actuators M8 · IoT & Wireless M9 · AI Introduction
🔩 Components Needed
📡NodeMCU ESP8266
⚙️4-Channel Relay Module
🌡️DHT11 (temp/humidity)
🔒PIR Sensor (security)
📱Blynk IoT App
🎤Google Assistant integration
🎯 Concepts Demonstrated
MQTT / HTTP API · Voice control · Smart home protocols · Energy monitoring · Remote access
● Advanced ⏱ 8–10 hrs build time 🥇 Best Technology Project
Class 11–12
🚮
AI Garbage Segregator
ML model classifies waste as wet / dry / recyclable automatically
📦 Modules Used
M5 · Python M6 · Motor Control M10 · Computer Vision M11 · Machine Learning
🔩 Components Needed
🍓Raspberry Pi 4
📷Pi Camera Module
⚙️Servo Motor ×3 (bin doors)
🧠TensorFlow Lite model
📺HDMI monitor (demo display)
🗑️3-compartment bin model
🎯 Concepts Demonstrated
Image classification · TensorFlow Lite inference · Servo actuation · Swachh Bharat relevance · AI for social good
● Advanced ⏱ 10–12 hrs build time 🥇 National Level Ready
Class 11–12
🧑‍🦽
Gesture-Controlled Wheelchair
Hand tilt gesture via MPU-6050 controls wheelchair direction
📦 Modules Used
M3 · Arduino Basics M6 · Robot Motor Control M7 · Autonomous Behaviours M8 · Wireless Control
🔩 Components Needed
🔌Arduino Uno ×2 (TX & RX)
🔄MPU-6050 Gyroscope/Accel
L298N Motor Driver
🚗DC Gear Motors ×4
📡NRF24L01 RF Module
🔋12V Li-ion Battery
🎯 Concepts Demonstrated
I2C gyroscope data · RF wireless link · PWM motor direction · Assistive tech · Rehabilitation engineering
● Advanced ⏱ 10–12 hrs build time 🥇 National Level Ready
📋
Need a Components Kit for Your Project?

EduNext Academy provides ready-to-use project kits with all components, a printed circuit guide, and code — perfect for school exhibitions and competitions.

🛒 Enquire About Project Kits →

Ready to Build Your First Robot?

Fill in the form below and our team will get in touch to find the right level and batch for your child.

📞
Call Us
+91 94451 57447
💬
WhatsApp
+91 94451 57447
🌐
Website
crect.org
📍
Location
Trichy & Tamil Nadu

Frequently Asked Questions

Absolutely not! The Beginner level starts from the very basics of electricity and assumes no prior knowledge. We begin with "what is a circuit?" and build from there. All you need is curiosity and enthusiasm.
The Beginner level is designed for students aged 8 and above. Intermediate suits ages 12+, and the Advanced AI level is ideal for students 14+. However, every child is different — contact us for a personalised assessment.
The AI & Robotics programme is primarily an in-person, hands-on programme at our Trichy centre, as physical hardware and lab work are core to learning. However, select theory sessions are available online. Contact us for batch details.
All hardware — Arduino boards, sensors, motors, components and tools — is provided at the centre during lab sessions. Students only need to bring a laptop (Windows/Mac/Linux) for programming sessions. A component kit can optionally be purchased to take home for practice.
Yes, with a placement assessment. Students who have prior electronics or programming experience can join at the appropriate level. We conduct a short assessment to ensure each student is placed in the right batch for the best learning outcome.
Yes! Students who complete each level receive an EduNext Academy certificate by CRECT Trust. Completing the full 36-week programme and presenting at Demo Day earns a special AI & Robotics Programme Completion certificate.
Batches run on weekends and weekday evenings for school students. Fees vary by level and are available on enquiry. We offer sibling discounts and early-bird pricing for annual enrolments. Fill the enquiry form or WhatsApp us for current fee details.