Internship report on topics of artificial intelligence , machine learning and industrial internet of things

1. A4441–Internship-I
VARDHAMAN COLLEGE OF ENGINEERING, HYDERABAD
Autonomous institute, affiliated to JNTUH
AI,ML & IIOT
Cognibot
715-A, 7th Floor, Spencer Plaza, Suite No.678,
Mount Road, Anna Salai, Chennai - 600 002
+914428505171 contactus@cognibot.ml
By
19885A0419 – A. RakeshUnder the guidance of
Dr. D. Krishna
Designation, Dept. of ECE
29/12/2020 1Dept. of Electronics and Communication Engineering

2. 29/12/2020 2Dept. of Electronics and Communication Engineering
Certificate of Internship:
AI ,ML & IIOT

3. AI ,ML & IIOT
29/12/2020 3Dept. of Electronics and Communication Engineering
Outline:
• Objectives (Crisp in 3-4 statements)
• History (Images)
• Introduction (Bullets with Images/Background knowledge)
• Architecture/Block Diagrams
• Methodology adapted in objectives achieved
• Skills (scientific and professional) learned during the internship
• Results/observations/work experiences
• Applications
• Conclusions
• References

4. 29/12/2020 4Dept. of Electronics and Communication Engineering
Objectives:
AI ,ML & IIOT
 Understanding The Importance of AI , ML & IIOT Systems.
 Python Programming.
 Understanding python modules which are used for ML concepts.
 Analysis of various types of ML.
 Key features and Four distinct components of IIOT Systems.
 Understanding how the things are meeting scientific goals.
 Understanding the available major sections of IOT architectural environment.

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History:
[1943-1955] The gestation of artificial intelligence
 Two undergraduate students at Harvard, Marvin Minsky and Dean Edmonds,
built the first neural network computer in 1950. The SNARL, as it was called,
used 3000 vacuum tubes and a surplus automatic pilot mechanism from a B-24
bomber to simulate a network of 40 neurons.
 Alan Turing gave lectures on the topic as early as 1947 at the London
Mathematical Society and articulated a persuasive agenda in his 1950 article
"Computing Machinery and Intelligence." Therein, he introduced the Turing
Test, machine learning, genetic algorithms, and reinforcement learning
AI ,ML & IIOT

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8. 1/8/2021 8Dept. of Electronics and Communication Engineering
Introduction:
Artificial Intelligence is an approach to make a computer, a robot, or a product to
think how smart human think. AI is a study of how human brain think, learn,
decide and work, when it tries to solve problems. And finally this study outputs
intelligent software systems. The aim of AI is to improve computer functions
which are related to human knowledge, for example, reasoning, learning, and
problem-solving.
Artificial intelligence (AI) is the simulation of human intelligence by computers.
Machine learning is a branch of AI where algorithms are used to learn from data
to make future decisions or predictions.
Deep learning is a specific subset of machine learning using artificial neural
networks (ANN) which are layered structures inspired by the human brain.
Source: Google AI Education
AI ,ML & IIOT

9. 29/12/2020 9Dept. of Electronics and Communication Engineering
Architecture/Block Diagrams:
AI ,ML & IIOT

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Methodology adapted in objectives
achieved:
AI ,ML & IIOT

11. 29/12/2020 11Dept. of Electronics and Communication Engineering
Methodology adapted in objectives
achieved:
• Hands on implementations of machine learning
models in python.
• Participation in competitions on kaggle
platform.
• Knowing the real time implementation of many
advanced algorithms
for instance : email spam filter, data
preprocessing & training models.
AI ,ML & IIOT

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Skills (scientific and professional) learned
during the internship :
Skills learned during the internship:-
 Python Programming
Basics of OOPs
Numpy module
Matplotlib module
 Data Optimization
Problem Solving
 Team-work
planning/prioritizing
Time management
AI ,ML & IIOT

13. 29/12/2020 13Dept. of Electronics and Communication Engineering
Results/observations/work experiences:
• During the internship observed decision tree implementation and many
machine learning models, F-score calculation ,About ANNOVA Etc.
• Done a project on Building machine Learning model for Titanic data analysis
problem statement and implemented through Cloud Space interpreter Called
Colab.
Titanic Data Analysis Machine Learning Model below
https://github.com/Rakeshpro/Projects/blob/master/Titanic_Data_
Analysis_project-%7C.ipynb
My kaggle profile:
https://www.kaggle.com/showbot
AI ,ML & IIOT

14. Problem statement
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15. Example Dataset
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17. 29/12/2020 17Dept. of Electronics and Communication Engineering
Applications:
AI ,ML & IIOT

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19. 29/12/2020 19Dept. of Electronics and Communication Engineering
Conclusions:
 This Internship has introduced me to ML & basics of IIOT. Now, I
know that Machine Learning is a technique of training machines
to perform the activities a human brain can do, albeit bit faster
and better than an average human-being. Today we have seen
that the machines can beat human champions in games such as
Chess. which are considered very complex. I have seen that
machines can be trained to perform human activities in several
areas and can aid humans in living better lives.
AI ,ML & IIOT

20. 29/12/2020 20Dept. of Electronics and Communication Engineering
Any
Questions/Discussions
???
AI ,ML & IIOT

21. 29/12/2020 21Dept. of Electronics and Communication Engineering
References:
[1] Google AI Education-Discover collections tools and resources.
https://ai.google/education/ [Accessed May 19 2020].
[2] Machine Learning guide-developer.
https://developers.google.com/machine-learning/guides
[Accessed Jun 7 2020].
[3] Deep Learning-guide geeks for geeks.
https://www.geeksforgeeks.org/introduction-deep-learning/
[Accessed Jun 13 2020].
AI ,ML & IIOT

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Thank
You !!!
AI ,ML & IIOT