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Internship on AI (Tamil) 30 Days
Warriorsway Community Link
Mandatory Step First Step - Join the Community Here
Day - 1
Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow) (46:15)
DAY – 2
How to install Python & Libraries | Basics of python Programming for AI. (38:00)
DAY – 3
Introduction to Computer Vision| How to install computer vision libraries (42:12)
DAY – 4
Moving Object Detection and tracking using OpenCV (62:50)
DAY – 5
Face Detection and Tracking using OpenCV (33:55)
DAY – 6
Object Tracking based on color using OpenCV (49:46)
DAY – 7
Face Recognition using OpenCV (55:25)
DAY – 8
Face Emotion recognition using 68-Landmark Predictor OpenCV (37:30)
DAY – 9
Introduction to Deep learning | How to install DL libraries (57:05)
DAY – 10
Designing your First Neural Network (74:37)
DAY – 11
Object recognition from Pre-trained model (53:08)
DAY – 12
Image classification using Convolutional Neural Network (55:59)
DAY – 13
Hand gesture recognition using Deep Learning (42:26)
DAY – 14
Leaf disease detection using Deep Learning (51:40)
DAY – 15
Character recognition using Convolutional Neural Network (52:20)
DAY – 16
Label reading using Optical Character recognition (36:13)
DAY – 17
Smart Attendance system using Deep Learning (54:24)
DAY – 18
Vehicle detection using Deep Learning (23:41)
DAY – 19
License plate recognition using Deep Learning (35:36)
DAY – 20
Drowsiness detection using Deep Learning (44:16)
DAY – 21
Road sign recognition using Deep Learning (33:10)
DAY – 22
Introduction to Machine learning| How to install ML libraries (35:48)
DAY – 23
Evaluating and Deploying the various ML model (47:30)
DAY – 24
Fake news detection using ML (49:39)
DAY – 25
AI snake game design using ML (31:24)
DAY – 26
Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK (34:33)
DAY – 27
Title Formation from the paragraph design using NLP (30:37)
DAY – 28
Speech emotion analysis using NLP (67:23)
Day - 29
AI Cloud (44:47)
Day -30
AI in Hardware (43:48)
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Moving Object Detection and tracking using OpenCV
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