| We are happy to inform that we are organizing a Four Weeks Internship on IoT with Machine Learning & Artificial Intelligence ” in association with National Institute of Technology , Surathkal from 9th July 2018 to 3rd August 2018. |
What will you learn?
Node MCU 5 DAYS AGENDA (Week 1)
DAY – 1| Introduction to Node MCU and IDE
- Basic NODE MCU and ARDUINO Uno Presentation
- Software Installation Node MCU in ArduinoIde
- Basic Embedded C
- Starting with our Normal GPIO control (Led, Buzzer)
- Input control (IR/PIR Applications) Serial receive/ Transmitting
Day – 2 | UART communication and Ultrasonic
- (Switch Application) on/off using char and string Receive
- Working of ultrasonic sensor
- Ultrasonic sensor distance measuring and display on serial monitor
- Ultrasonic sensor with buzzer “obstacle detected,” on serial monitor
- Security Alert using I/O devices like PIR
DAY – 3 | ADC &IoT (using Wi-Fi)
- Starting with local server Led/buzzer on off button from wifi control
- Comparison of ESP8266 wifi circuit and NODE MCU
- Connecting Analog sensors (Analogue read)
- ON/OFF Switching of appliances or home device
- Creating a webpage in html/php
- Reading sensor values and passing it to local server- Task 1
DAY – 4 | Internet of things with free Cloud service
- Thingspeak introduction
- Account creation in thingspeak and getting API key
- Passing analog and digital sensor values to thingspeakusing API key
- Remote controlling of the devices – Task 2
- Project implementation
DAY – 5 | Task with digital sensor and IoT
- PWM with ultrasonic sensor
- Changing the intensity of buzzer with respect to distance
- NODE MCU (PWM) with LED
- Project implementation
- Question and Answer
PYTHON AND OPENCV 5 DAYS (Week 2)
DAY – 6 | Introduction to Python
- Introduction to Basic programming and concepts
- Core objects and Built-in-Functions
- Conditional statements and loops
- Hands on Training with Python Programmes
Day – 7 | Python
- Inheritance
- File Handling With Python
- Classes, methods, functions and set of objects
- Exception handling
- Creating a new data type
DAY – 8| Python for IoT
- Weather application with python
- Weather notification
- Python with Thingspeak application
- Python GUI creation basics
- Project implementation
DAY – 9 | Open CV- image processing with python
- Open CV basics
- Basic image commands in opencv
- Colour conversions
- Object detection
- Threshold segmentation – binary , colouretc
DAY – 10 | Task with digital sensor and IoT
- Video processing
- IP CAM android app- using wireless method for video and image capturing
- Video frame conversion
- DEMO: Face recognition
- Multiple object tracking based on colour
- Digital ART Demo.
- Vehicle and pedestrian detection Demo
- Question and Answer
Raspberry Pi & IoT 5 Days (Week 3)
DAY – 11 | Raspberry Pi & Its Programming
- Raspberry pi 3 with python fundamentals
- OS installation
- Python Programme on Peripheral Interface
- Peripheral interface with Pi – led and buzzer.
DAY – 12 | Hardware Peripheral Interface with Pi
- Peripheral interfacing
- IR sensor for object detection
- PIR sensor for security application
- Smart room using PIR Sensor – person count
DAY – 13 | Sensors and Camera Interface with Pi
- Internet of things with raspberry pi 3
- Ultrasonic with rpi
- Object detection with distance measurement- blind spot detection
- Camera interfacing for security application
- Capturing and sending image on sensor detection through mail
DAY – 14 | Sensors and Camera Interface with Pi
- Creating webpage for controlling devices
- Espeak software introduction
- Audio output for sensor detection for visually impaired person
- Passing Sensor Information To Our Webpage
DAY – 15 | Pi interface with Open Source Cloud
- Thingspeak with rpi
- Writing and reading values from thingspeak
- Thingspeak security system
- Android app with raspberry and thingspeak for controlling devices
MACHINE LEARNING Using PYTHON AND AI 5 DAYS (Week 4)
DAY – 16 | Python on Machine Learning
- Introduction to Algorithm
- File handling, Exception handling, Command line arguments, modules and packages
- Functions, String, List
- Python Regular Expressions
- Accessing CSV,JSON,XML files and Logging in python
DAY – 17 | NumPy, Pandas in for Data analysis and ML
- Data types:Array creation, I/O with NumPy, Indexing,Broadcasting,Byte-swapping,Structuredarrays,Subclassingndarray
- Data Visualization
- 2D plotting with Matplotlib
- Advanced data visualization with Seaborn
- Exploring Data with Pandas
- Data manipulation with Pandas
- Statistical analysis with Pandas
- Time series analysis with Pandas
DAY – 18 | Machine Learning Theory with hands on Programming
- Design a Learning System
- Issues in Machine Learning
- Bayesian Learning Techniques {Theory, Coding}
- Linear models for Regression/Classification
- {Theory, Coding}
- Non-linear Models:
- Decision Trees
DAY – 19 | Machine Learning Algorithms
- Instance-based Learning:
- k-Nearest Neighbor Learning
- Support Vector Machine:
- Linearly separable data
- Non-linearly separable data
- K-means clustering
- Genetic Algorithm
DAY – 20 | Machine Learning Projects Walkthrough
- Data cleaning and formatting , Exploratory data analysis, Feature engineering and selection
- Establish a baseline and compare several machine learning models on a performance metric
- Perform hyperparameter tuning on the best model to optimize it for the problem
- AI Integration and Project Concepts.
- Demonstration and Discussion on Mini Projects based on IoT with Node MCU.
Here is the pre registration Link
https://docs.google.com/forms/d/e/1FAIpQLSd9ke1JGXeyufq6cHQmzuVnS6lrMu56jfF7jiXlyzvJ2LnXaA/viewform
| Registration Fee : For Faculty / Industry Persons / Staffs / Students : Rs.8400/- Certificate of Participation will be provided by National Institute of Technology , NIT,Surathkal Participant Seats are limited to 60 . This will be on First Come , First Serve basis . For Pre Registration Please feel free to call the undersigned for any further clarifications . Co ordinators: Srinivasan.N Mobile : 9840974407 srinivasan.n@pantechmail.com Dr.B.Venkatesa Perumal Mail : bvperumal@nitk.edu.in / nagendrappa@gmail.com |
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