Koushik Vejendla

Efficient Cloud Engineer with years of experience assembling cloud infrastructure. Utilizes strong managerial skills by negotiating with vendors and coordinating tasks with other IT team members. Implements best practices to create cloud functions, applications and databases.

• Certified in AUTOMATION ANYWHERE of Robotic Automation Process.
• Certified in Udemy of Complete Python Boot camp from Zero to High in Python.
• Certified in Natural language of Processing, Internet of things.

Recognition of Facial Expressions and Drowsiness using Landmarks, International Journal of Psychosocial Rehabilitation, 1475-7192, 04/30/2020,

 Reference Link: "https://www.psychosocial.com/article/PR300196/23520/".

Online Grocery Store, 09/2022-12/2022,

• We worked and developed the web based online grocery store with team size of 3 members by using HTML, Flask, Python, CSS, SQLite, Bootstrap.
• By using this web-based application customers can order whatever groceries they need in their daily life.
• In our project there are 3 roles: Customer, System admin and Manager.
• There is initially Login System that the user can login and access the data in our systems, there are forgotten password and sign-up options too.
• Customers can be able to see the items available in the store and the quantity of those items as well.
• The new categories of items are added to the store and all the details are managed by the Manager and System Administrator.
• The System Administrator has rights to make user as Manager and can be able to remove a user s manager too.
• The Manager will be able to glance at the orders placed by the customer and categories of the items in the store.
• This online grocery store was good for the individuals who plan their certain budget on the groceries and excellent for lazy people like me.
• It’s like everyone can order their groceries through their mobile and even have them shipped to their doors.

Recognition of Facial Expressions and Drowsiness using Landmarks 

• Developed this project “Recognition of Facial Expressions and Drowsiness using Landmarks” with team size of 3 members by using Python.
• This project is about to recognize the expression of the person’s face like Smile, Sad, Anger and Drowsiness.
• The process is to capture the image of the person’s face and we have applied the landmarks on the image of the person’s face.
• Then it will calculate the distance between these landmark points on the image of the person’s face.
• After measuring the distance between the landmark points and based upon the distance it will show the expression of the face that means Anger, Sad, Happy and Drowsiness.