The document summarizes an internship focused on Python and machine learning. It describes the company K-AKA Technology Services, which provides training, development, SaaS, and consultancy services. The internship involved two phases - training in Python application development and machine learning, followed by developing an ATM project and bio-medical toolkit. Key tasks included designing apps with Tkinter, working with databases like SQLite and MySQL, and performing machine learning tasks like regression and k-means clustering. Two sample projects were an ATM balance checker app using Tkinter and Firebase, and a medical prediction app for diabetes, BMI, and heart failure using various machine learning algorithms.

1. PYTHON AND MACHINE LEARNING
INTERNSHIP
K-AKA TECHNOLOGY SERVICES
Presented By,
1.Annapoorna B A – 1VA17CS005
2.Nisarga Y N – 1VA17CS031
3.Rachana R Shastry – 1VA17CS039
Under the guidance
Abhinav Kumar Abhay

2. CONTENTS
About Company
About Department
Tasks Performed
Project Assigned
Reflection Note
Reference
 Problem Statement
 Tools used
 Design Model
 Screenshots

3. ABOUT COMPANY
K-AKA is a fast and growing software company, Bangalore
started in the year 2019 to prove the best services to the
users need's. It is a (SaaS) Software as a service company,
currently growing its network in the Bangalore, New-Delhi,
etc.
This company focuses on the multiple domain such as :
•Training
•Development
•SaaS(Software as a Services)
•Consultancy

4. ABOUT DEPARTMENT
Phase 1: Training
 Python Application development
 Machine Learning
Phase 2: Development
 ATM project
 Bio-Medical Toolkit

5. TASKS PERFORMED
• Python Application Development:
• Learnt Front-end framework.
• Learnt Backend Technologies such as MySQL, Sqlite3, Firebase.
• Designed Simple Calculator using tkinter.
• Registration form design using tkinter and backend
technologies.
• Machine Learning:
• Learnt regression algorithm, k-means algorithm.
• Learnt decision tree.
• Check whether a message contains abusing words or not.
• Predict whether a boy plays on particular day or not.

6. Widget
Presentation
controls
Label
Text
MessageBox
Operable
controls
Entry
TextBox
RadioButton
MenuButton
Button
SpinBox DatePicker
ComboBoxCheckButton
Tkinter : It is a Front-end Python Framework.
FRONT END FRAMEWORK

7. Sqlite3 Create
Update
Read
Delete
MySQL Create
Update
Read
Delete
Firebase Email and Password Authentication
Email Sign up
Store Data into real-time database
Access the data from real-time database
Store Image into realtime database
BACKEND TECHNOLOGY

8. Design of Simple Calculator

9. Username and Password validation Page

10. Sign Up or Student Registration Page

11. Displays whether message contains an abusing words or not

12. Predict whether a boy plays on particular day or not.

13. ⮚ Send a message using
• Fast2SMS
• Text.local.in
⮚ Send an Email using SMTP module
⮚ Validation of username and password
⮚ Generate unique password using user phone
number and random numbers.
⮚ Conversion of text to speech
⮚ Conversion of Speech to text
⮚ Encryption of a message using cryptographic
method
Other tasks performed

14. PROJECT ASSIGNED
Problem Statement:
The application of our system helps the customer in checking the balance
and transaction of the amount by validating the pin number
Tools Used:
• Front-end : Tkinter Framework
• Back-end : Firebase
• Language used: Python 3.8
• IDE Used : Spyder

15. Design Model

16. Fig :
Welcome Page
Fig :
Home Page
Project
Snapshots

17. Fig :
Menu Page
Fig :
Card Page
Project
Snapshots

18. Fig :
Balance display
Page
Fig :
Card_no entry
Page
Project
Snapshots

19. Fig :
Account_Create
Page
Fig :
Account_details
Page
Project
Snapshots

20. Fig :
Transaction success
Page
Fig :
Withdraw Page
Project
Snapshots

21. Fig :
CardPin_change
Page
Fig :
Deposited
successfully Page
Project
Snapshots

22. Fig :
Final Page
Fig :
Transaction failed
Page
Project
Snapshots

23. Project
Snapshots
Fig: Snapshot of Text sms sent to the user

24. Demo of the project

25. PROJECT ASSIGNED
Problem Statement:
 Prediction of diabetes
 Prediction of BMI
 Prediction of Heart failure
 Covid-19 Data Analysis
Tools Used:
• Front-end : Tkinter Framework
• Language used: Python 3.8
• IDE Used : Spyder
Bio-Medical Toolkit

26. Home Page
Covid-19
data analysis
Prediction of
Diabetes Page
Prediction of BMI
Page
Prediction of heart
failure Page
Data
Input
Machine
learning
Model
Result
(Yes/No)
Data
Input
Data
Input
Decision Tree
Algorithm
Regression
Algorithm
Kmeans
Algorithm
Design Model
Data
analytics
Data
Visualization

27. Fig : Home Page
Fig : Prediction of diabetes page
Project
Snapshots

28. Fig: Prediction of heart failure page
Fig: Prediction of BMI page
Project
Snapshots

29. Fig: Prediction of BMI page
Fig: Covid-19 data analysis page
Project
Snapshots

30. Fig: Covid-19 data analysis page
Fig: Covid-19 data analysis page
Project
Snapshots

31. Demo of the project

32. REFLECTION NOTE
We are really glad to share our experience about the
internship.
We have learnt a lot of things related to python and
machine learning. Internship was very informative
and we gained a lot of knowledge about python and
machine learning. We got a good experience with
hands on session which was very helpful.
We thank our trainer for teaching so well.

33. REFERENCES
• https://www.geeksforgeeks.org/python-
tkinter-tutorial/
• https://www.tutorialspoint.com/firebas
e/index.htm