this is pptx for internship weekly report

1. Gujarat Power Engineering & Research
Institute
Managed By Gujarat Technological University (GTU)
BE Semester 8th
Department of Computer Engineering
Internship 3180701
Internal Review 1
RUPAM BISWAS (201040107059)

2. INDEX:
Company Overview
Role at Company
Goals and objectives of Internship
Technical Skills learnt
Weekly Tasks detail
Internship Experience
Conclusion

3. Company Overview :
GTU-Code Unnati centre of excellence on emerging technologies:
In alignment with the Government of India's Skill India and Digital India
missions, the Gujarat Technological University has collaborated with Edunet
Foundation and SAP to run a Centre of Excellence on Emerging
technologies.
SAP:
SAP India is the Indian subsidiary of SAP SE, the multinational software
corporation headquartered in Germany. SAP India plays a crucial role in
providing SAP's software solutions and services to businesses across India. It
serves customers in various industries including manufacturing, retail,
healthcare, financial services, telecommunications, and more.
Edunet Foundation:
Edunet Foundation is a social enterprise which was founded in 2015 and
focuses on bridging the academia-industry divide, enhancing student
employability, promoting innovation and creating an entrepreneurial
ecosystem in India. Working primarily with emerging technologies, and
striving to leverage them to augment, upgrade the knowledge ecosystem and
equip the beneficiaries to become contributors themselves, we work
extensively to build a workforce with an IR 4.0 enabled career.

4. Role at Company
Data Analyst Intern:
Responsibilities may include data cleaning, data exploration, and generating basic
insights from datasets
Data Visualization Intern:
Specializing in creating compelling and informative visualizations using tools like
Matplotlib, Seaborn, or Tableau.
Machine Learning Intern:
Exploring and implementing basic machine learning models with different algorithm
under the guidance of more experienced team members.Contributing to model
evaluation and tuning.
Artificial Intelligence intern:
Designing and deploying intelligent systems and improvement the accuracy of the
intelligent model with machine learning and deep learning algorithms.
IoT Intern:
An IoT (Internet of Things) intern role typically involves working on projects related
to the design, development, implementation, and testing of IoT solutions within an
organization.
Employability Skills:
Responsibilities may include communication, leadership, team work and and problem
solving

5. Goals and
objectives of
Internship
Skill
Development
Real-world
Application
Project
Experience
Communication
Problem Solving Networking

6. Technical Skills learnt
• Using Python for data manipulation, analysis, and visualization
Python Programming
• Working with numerical operations and arrays in Python
NumPy
• Data manipulation and analysis using the Pandas library.
Pandas
• Creating static, interactive, and 3D visualizations in Python
Matplotlib
• Enhancing the visual aesthetics of Matplotlib visualizations
Seaborn
• Skills related to acquiring, loading, and cleaning datasets for analysis
Data Accessing and Cleaning

7. Technical Skills learnt
Machine learning
• Works with different machine learning algorithm
Deep Learning
• Worked with Artificial neural network for deep learning algorithm
Open vino
• Deploying in deep learning models efficiently on various Intel
hardware platforms.

8. Technical Skills learnt
IoT:
Iroduction,Architecture,Servers in IoT .WE have also worked on IoT cloud data
processing,Local processing devices and protocols.We worked on several hands-
on projects with Arduino and Ras-Pi
Cyber-Security:
We worked in various attacks like supply chain attack,SQL injection,people
centric attack and awareness towards the cyber attacks.Also I worked with Tor
Browser and Duck_Duck go search engine.
Employability skills:
We have gone through an expert session on enhamcement of our various
employability skills like lradership,group discussion,networking and people
engagements.Also my linked in optimization.
Computer Vision:
In this part I worked on various object detection and image processing works like
video capture and analysis,edge detection image filtering.
SAP Tool:
I worked with several SAP tools like SAP Hana And Sap ABAP programming
language

9. Weekly Tasks detail
WEEK-1
1)Introduction to
python
2)Datatypes,Variable,
3)Different Operator
4)String
5)Use of List
WEEK-2
1)Python Libraries for
AI and ML 2)Use of
Numpy
3)Use of Pandas
4)Use of Seaborn
5)Use of matplotlib
WEEK-3
1)Machine learning
Basics
2)Data Preprocessing
3)Feature Engineering
4)Supervised
Algorithms
5)Unsupervised
Algorithms
WEEK-4
1)Deep Learning Basics
2)Creating ANN
3)Deep Learning
algorithm
4)Platform Setup
5)OpenVino

10. Weekly Tasks detail
WEEK-5
1)Computer Vision
2) Datatypes, Variable,
3)React.JS
4)Open Vino
5)Intel One API
WEEK-6
1)Master Class on linear
Regression
- binary, multiclass
classifications
2)IoT
-Local processing
-Protocols
3)Presentation feedback
WEEK-7
1)Employability Skills
2)PPT Skills
3)Liked In optimasation
4)Instant Presentation
5)Group Discussion
6)Mock Interview
WEEK-8
1)Cybersecurity
2)SAP
3)SAP Tools:
-SAP HANA
-ABAP
4)Project Improvement
Discussion

11. Project Contribution:
Project title: PlantAI – advance approach to
plant disease detection
In this project, I will create a convolutional neural network which
will be able to predict whether a plant is suffering from a disease.
We will use different layers and other hyperparameters for
building, training, and testing this classification model. We will be
using tensorflow and keras for this project.

12. Project Improvement:
Created the Deep learning model with
tensorflow and keras.Which can detect the
disease with 98% accuracy.My project can
work with a real time footage and stock
pictures as well.Created a streamlit web
app what can be hosted in web server and
powered by my CNN model.

13. Why we need this:

14. App Details:
I have used streamlit for making my app and host on web.Plant Ai is a web-based
application.This application has 5 pages.We can easily navigate between the pages using
sidebar.
Technologies Used:
>Python
>Tensorflow
>Keras
>Numpy
>Mathplotlib
> Open Ai
>Pandas
>CSS
>Seaborn
>Streamlit

15. PLANT-AI
:Homepage
This is my APP homepage.Where I have provided a user
manual to operate the app easily for the user.Also I have
described the motivation and wow factor of my app.

16. Sidebar:
This a sidebar what can be possible to hide.Using
this side bar we can navigate anotherpage of the
app from anypage.

17. Model Details: Second page is about model details.How I created the model
for the app and other information related to the model.

18. Disease Identification:
There are two ways we can provide plant leaf picture to the
app.
1.By accessing devices in built camera and
2.By uploading picture from the gallery
After predicting the app we can also see the uploaded
picture from here by clicking “See uploaded picture”

19. Help from Ai:
I have made an OPEN-API ,ChatGPT
powerd Chat bot and assembled with my
app.
After finding the disease anyone can ask
probable solution of the disease, how they
can protect their plant from future attack
and anything to the chat bot.
My chat bot is powerful enough to provide
the solutions.

20. About Me Page: In the last page of my app I have provided my
contact information .Where after clicking on my
email address ,it will automatically redirect to the
Email app and then they can contact with me
directly.

21. Future Scopes:
In future we can provide all in one platform for
the farmars.Where
1.With disease identification ,appropriate
medicine will also be shown to the user.
2.Even they can purchased the medicine from the
portal.
3.Even from this portal user can trade their
vegetables.
4.It will also shows collect the record of the user
and can predict the problems about their farming
by analyzing users history.

22. Internship Experience
Hands-on Work Experience:
Internships provide opportunities to apply theoretical
knowledge gained in the classroom to real-world situations.
Industry Insights:
Internships provide invaluable insights into how industries
operate, including organizational structures, workflows,
industry trends, and best practices.
Professional Etiquette and Workplace Culture:
Internships expose you to professional etiquette, workplace
norms, and corporate culture. Understanding how to navigate
these aspects of the workplace is essential for success in your
future career.

23. Conclusion
Over the past few weeks of internship ,I am grateful for
the opportunities and experiences that have shaped my
journey thus far.
As I continue my internship journey, I am excited
about the opportunities for growth and learning that lie
ahead. I remain committed to maximizing my
experience and contributing positively to the team's
success.
As I continue my internship journey, I am excited
about the opportunities for growth and learning that lie
ahead. I remain committed to maximizing my
experience and contributing positively to the team's
success.

24. THANK YOU