START LEARNING TODAY
Enroll in Prayas
3.0
Enroll in Prayas
3.0
One Month Residential Program at IIT
Mandi
If you wish to pay the fees in installments,
please contact us on
+91
9910943386
LEARNING OUTCOMES
Skills and Expertise You will Develop Here
This curriculum ensures a balanced mix of theory and application, preparing students for future opportunities in technology and innovation. The students will:
Develop a strong foundation in Arduino, Python,
and AI- Integrate sensors and process real-time data
- Build machine learning models and apply computer
vision
- Gain practical experience through hands-on
projects
Embedded Systems & Arduino Basics
Advanced Arduino & Sensor Integration
Python & AI Fundamentals
Computer Vision & Project Implementation
STUDENTS SYLLABUS
Prayas 3.0 Tentative Overall Plan
Day 1
Inaguration ceremony (Starts at 9:30 am)
- Project Demo
- Introduction to embedded systems and its applications
- Computer Languages and Algorithms
Day 2
Embedded Development board:Arduino Uno and Arduino IDE
software
- Basics of Arduino C Programming
- Introduction to Arduino Simulator
- Arduino Sketch Structure and Flow
Day 3
Arduino Sketch Main Loop, Calling Functions,Tokens (5 Types),
Variables (int, float, string),Data Types
- Arithmetic and Logical, Relational, and Increment Operators , Conditional Statements (If , If else, If-else-If )
- Arduino Programming Exercise-I( Main Loop, Calling Functions, Data types)
- Arduino Programming Exercise-II((If , If else, If-else-If )
Day 4
Arduino Functions, Returning a Value from a Function, Serial
Funtions, User Defined Functions
- Arduino Programming for Loop , While loop, Arrays, Strings,Basic input/output
- Arduino Programming Exercise-III(Functions, Serial Funtions, User Defined Functions)
- Arduino Programming Exercise-IV (Loop , While loop, Arrays, Strings,Basic input/output)
Day 5
Introduction to Analog digital Concepts, Sensors ( IR sensor,
Ultrasonic Distance Sensor)
- Temperature Sensors , LDR Sensor, DHT Sensor
- Arduino IDE installation and driver installation
- Testing the Arduino Development board and running onboard Led Blink Program
Day 6
Visit to Central Workshop/ Tinkering Lab
- Visit to Central Workshop/ Tinkering Lab
Day 7
MCQ Test
- MCQ Test
Day 8
Introduction to Robotics and Its applications
- Robotic Arm (3-DoF), Forward and Inverse Kinematics
- Arduino Interfacing withTemperature Sensors and LDR Sensor
- Arduino Interfacing with Ultrasonic Sensor
Day 9
Wheeled Mobile Robot, Mathematical Model
- Aerial Robot , Mathematical Model
- Arduino Interfacing with DHT sensor and Data Logging
- Minor Project- I
Day 10
Introduction to DC Motor , Types of DC motors used in
Robotics
- Servo Motor and PWM concept
- Arduino Interfacing with DC motor, Forward and Reverse direction control
- Arduino Interfacing with Servo motor
Day 11
Wireless Communication via Bluetooth Module, Configuring
Bluetooth Module
- Essential components of Two Wheeled Mobile Robot
- Arduino Interfacing with Bluetooth Module
- Android Mobile App: Blynk and its features, Turning on-off Led Exercise
Day 12
Mobile Robot Programming (Arduino Simulator)
- Assembly of Mobile Robot-I ( Lab )
- Assembly of Mobile Robot-II
- Testing of Mobile Robot
Day 13
Visit to Robotics Lab
- Visit to Robotics Lab
Day 14
MCQ Test
- MCQ Test
Day 15
Inducstry 4.0, Internet of Things and Its applications
- Porgramming Concept and Demostration of Mobile Robot
- Smart Phone Control Mobile Robot
- Smart Phone Control Mobile Robot
Day 16
Developing Obstacal Avoidance Algorithm-I
- Developing Obstacal Avoidance Algorithm-II and Robot Demonstartion
- Two Wheeled Obstacle Avoidance Robot
- Two Wheeled Obstacle Avoidance Robot
Day 17
Developing Line following Algorithm-I
- Developing Line following Algorithm-II and Line Following Robot Demonstartion
- Line following robot
- Line following robot
Day 18
Developing Wall following Algorithm-I
- Developing Wall following Algorithm-II and Wall Following Robot Demonstartion
- Wall following robot
- Wall following robot
Day 19
Basics of Python Programming Language
- Introduction to Jupyter Notebook and Google Colab
- Setting up Python and Jupyter Notebook
- Python Programming Exercises
Day 20
Plantation Drive
- Plantation Drive
Day 21
MCQ Test
- MCQ Test
Day 22
Conditional Statements in Python
- For and While Loops in Python
- Python Programming Lab Exercise-III
- Data Visualization notebook: Plotting and analysing real world data
Day 23
Introduction to AI and Machine Learning
- Introduction to Neural Networks : Perceptron Model
- Python Programming for Perceptron Model
- Trianing and Testing of Perceptron Model for ANDLogic
Day 24
Multilayer Neural Network (MLNN)
- Multilayer Neural Network (MLNN)
- Python Programming for MLNN
- Python Programming for MLNN -XOR dataset
Day 25
Image Classification using CNN
- Object Detectin using YOLO
- Image Classification Exercise
- Object detection Exercises
Day 26
Basics of Computer Vision-I & II
- Basics of Computer Vision-I
- Basics of Computer Vision-II
- OpenCV based CV Exercise-I
- OpenCV based CV Exercise-II
Day 27
Basics of Computer Vision-III & IV
- Basics of Computer Vision-III
- Basics of Computer Vision-IV
- OpenCV based CV Exercise-III
- OpenCV based CV Exercise-IV
Day 28
MCQ Test
- MCQ Test
Day 29
Expert Lecture - I
- Expert Lecture - II
- Demonstration of Robotics Projects
- Demonstration of AI projects
Day 30
Closing Ceremony
- Closing Ceremony
