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
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
Hands-on Robotics and AI
Training at IIT Mandi
PRAYAS 3.0 is an upcoming one-month residential program on Robotics and Artificial Intelligence organized by the Indian Institute of Technology (IIT) Mandi. Scheduled to commence on June 10, 2025, this program aims to provide participants with hands-on experience in these cutting-edge technologies.
Building upon the success of its predecessors, PRAYAS 1.0 & 2.0, the third edition is set to introduce a robotics competition, elevating the program to a new level. Previous iterations have seen over 200 participants, including students, teachers, & Industrial Training Institute (ITI) trainers, engaging in comprehensive training sessions.
During the four-week camp, participants will attend classes on Robotics and AI, learning to utilize various programming techniques, sensors, actuators, communication devices, and power devices to assemble and program robots. The curriculum is designed to foster practical skills and encourage innovation among the youth.
PRAYAS 3.0 reflects IIT Mandi's commitment to inspiring youth and promoting skill development in emerging technological fields. By participating in this program, individuals will have the opportunity to enhance their practical knowledge and contribute to the growing landscape of technology and innovation.
Prayas 3.0 Tentative Overall Plan
- Project Demo
- Introduction to embedded systems and its applications
- Computer Languages and Algorithms
- Basics of Arduino C Programming
- Introduction to Arduino Simulator
- Arduino Sketch Structure and Flow
- 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 )
- 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)
- Temperature Sensors , LDR Sensor, DHT Sensor
- Arduino IDE installation and driver installation
- Testing the Arduino Development board and running onboard Led Blink Program
- Visit to Central Workshop/ Tinkering Lab
- MCQ Test
- Robotic Arm (3-DoF), Forward and Inverse Kinematics
- Arduino Interfacing withTemperature Sensors and LDR Sensor
- Arduino Interfacing with Ultrasonic Sensor
- Aerial Robot , Mathematical Model
- Arduino Interfacing with DHT sensor and Data Logging
- Minor Project- I
- Servo Motor and PWM concept
- Arduino Interfacing with DC motor, Forward and Reverse direction control
- Arduino Interfacing with Servo motor
- Essential components of Two Wheeled Mobile Robot
- Arduino Interfacing with Bluetooth Module
- Android Mobile App: Blynk and its features, Turning on-off Led Exercise
- Assembly of Mobile Robot-I ( Lab )
- Assembly of Mobile Robot-II
- Testing of Mobile Robot
- Visit to Robotics Lab
- MCQ Test
- Porgramming Concept and Demostration of Mobile Robot
- Smart Phone Control Mobile Robot
- Smart Phone Control Mobile Robot
- Developing Obstacal Avoidance Algorithm-II and Robot Demonstartion
- Two Wheeled Obstacle Avoidance Robot
- Two Wheeled Obstacle Avoidance Robot
- Developing Line following Algorithm-II and Line Following Robot Demonstartion
- Line following robot
- Line following robot
- Developing Wall following Algorithm-II and Wall Following Robot Demonstartion
- Wall following robot
- Wall following robot
- Introduction to Jupyter Notebook and Google Colab
- Setting up Python and Jupyter Notebook
- Python Programming Exercises
- Plantation Drive
- MCQ Test
- For and While Loops in Python
- Python Programming Lab Exercise-III
- Data Visualization notebook: Plotting and analysing real world data
- Introduction to Neural Networks : Perceptron Model
- Python Programming for Perceptron Model
- Trianing and Testing of Perceptron Model for ANDLogic
- Multilayer Neural Network (MLNN)
- Python Programming for MLNN
- Python Programming for MLNN -XOR dataset
- Object Detectin using YOLO
- Image Classification Exercise
- Object detection Exercises
- Basics of Computer Vision-I
- Basics of Computer Vision-II
- OpenCV based CV Exercise-I
- OpenCV based CV Exercise-II
- Basics of Computer Vision-III
- Basics of Computer Vision-IV
- OpenCV based CV Exercise-III
- OpenCV based CV Exercise-IV
- MCQ Test
- Expert Lecture - II
- Demonstration of Robotics Projects
- Demonstration of AI projects
- Closing Ceremony