DAY 1

INTRODUCTION TO MACHINE LEARNING AND OPENCV

·Introduction to Machine Learning and ANN structure

·Upgrading Library Files

·Advanced Features & classifications of Image Processing

·Open Cv Image Processing

​

DAY 2

OPENCV BASED IMAGE PROCESSING TECHNIQUES AND MACHINE LEARNING ALGORITHMS

• Multi-Assessments on Opencv computer vision and features in image processing

• Watermark implementation in live streaming Video feed

​

DAY 3

TRAINING TEXT DATASETS

• Training Text Dataset using KNN,CNN,Naive baiyes ,Decision tree algorithm using Keras,Tensorflow ,Numpy

​

DAY 4

FACE RECOGNITION USING LBPH ALGORITHM

• Face Dataset Collection Using Opencv

• Face Training using Collected Dataset Using LBPH Algorithm

• Face Recognition Using Live trained model

• Interactive Exercise on Live trained Model

​

DAY 5

MATPLOTLIB,SKLEARN,TENSORFLOW,KNN,CNN,KERAS FUNCTIONS

• Training Image Dataset using SVM,MLP, Random Forest algorithm using Keras,Tensorflow ,Numpy

• Training Text Dataset using KNN,CNN,Naive baiyes ,Decision tree algorithm using Keras,Tensorflow ,Numpy

• Ploting of Prediction Dataset using matplotlib and sklearn

• Real Time Object Detection using YOLO Algorithm

​

 

DAY 6

MASK-RCNN,SCIKIT LEARN BASED FUNCTIONS

• Matterpot Mask-RCNN for Object Detection Using,Keras,ScikitLearn

• Deep learning based Hydroponics health system without physical interference with medical plants

​

DAY 7

INTRODUCTION TO HANDS ON EXPERIENCE ON RASPBERRY PI

• Raspberry pi introduction

• Raspberry pi configuration and OS installation

• Raspberry pi GPIO PINS

• Raspberry pi Basic led Control using Digital Sensor

SECURITY, MEDICAL APPLICATION IN MACHINE LEARNING

• Real time Object Detection over network with Computer vision and Image ZMQ

• Detecting Parkinsons Disease with opencv,Computer vision

​

DAY 8

ML BASED AUTOMATIC CHATBOT

• Installing Telepot Python Package And executing the Program

• Creating Telegram Bot

​

DAY 9

KERAS,CRÈME,LIBRARY FUNCTIONS AND THEFT DETECTION SYSTEM

• Incremental learning with Keras and Crème

• Linear Classification with python and scipy

• Raspberry pie Theft detection System

​

DAY 10

KNN CLASSIFIER AND IMAKE AUGMENTATION USING KERAS

• Knn Classifier for Image Classifcation

• Image Data Generation and Augmentation Using Keras

​

DAY 11

MNIST DATASET CLASSIFICATION,TRAINING A CNN

• Fashion MNIST With Keras and Deep Learning

• Training a Convolutional Neural Network for regression prediction with Keras

​

DAY 12

VIRTUAL ASSISTANT BOT

• Creation of Own Virtual Assistant Engine using tensorflow , keras , scikitlearn.

• Multiple Object Detection Using CAFFE Model Input File

​

DAY 13- DAY 15

INDUSTRIAL PROJECT TRAINING

• Optical character recognition using OCR engine google tesseract

• Machine learning based License Plate Recognition of automobiles using tesseract ,opencv computer vision

• Real Time Object Detection using YOLO Algorithm

• Multiple Object Detection Using CAFFE Model Input File