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
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.
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
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
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.
