Hyderabad, Telangana

adofa5@r.postjobfree.com

937-***-****

I am very much curious about things happening around me. I thrive to acquire new skills which help me in building my career and also overall development. Bachelor of Technology 2017-2021

National Institute of Technology CGPA 8.86

Central Board (Top 20%)

Langol, Manipur.

10+2 Grauduated, March 2017

Sri Chaitanya Junior College Marks 89.1%

State Board

Madhapur, Hyderabad.

Senior Secondary Graduated, April 2015

Slate-The-School CGPA 9.3

State Board

Abids, Hyderabad.

Python C C++

OpenCV Tensorflow Sklearn

Pytorch Pandas Tkinter

SQL Algorithms Object Oriented Programming

Excel Word Powerpoint

GazeChat - helping the paralyzed communicate

GazeChat is a novel, efficient gaze-based text input method for the severely paralyzed population, which has the advantage of low cost and robustness. Users can type in words by looking at an on-screen keyboard and blinking. Rather than estimate gaze angles directly to track eyes, we introduce a method that divides the human gaze into nine directions. This method can effectively improve the accuracy of making a selection by gaze and blinks. We built a Convolutional Neural Network (CNN) model for 9-direction gaze estimation. On the basis of the 9-direction gaze, NAYAKWADI SUSHANTH

NAYANANAYANNANAYANAYA

KEWADI

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we use a nine key T9 input method. A word prediction model that automatically predicts the most probable words based on the sequence of characters entered is also added to further increase the efficiency of our model. Additional technical details can be found here:

https://drive.google.com/file/d/1V4729QpDn8NccrpDPgT_O4zMBFWgldfa/view?usp=sharing Blink detection to help the paralyzed communicate

ALS is a nervous system disease that weakens muscles and impacts physical function affecting about 100 thousand people every year in India. Our project helps these patients communicate through their eyes. This ML project recognizes patient's eyes and classifies it into one of the four categories: left eye is closed and the right eye is open (CO)- 0 right closed and left open (OC) - 1

both the eyes are closed (CC)- 2

both the eyes are open (OO)- 4

The patient is scanned continually, and each time, the ML algorithm runs, producing a class label as output. This produces a sequence of class labels which is converted to morse code as follows: 0 indicates a .(dot)

1 indicates a _(dash)

2 indicates end of a word

3 indicates end of a sentence

This morse code is converted to its English equivalent which exactly represents what the patient is trying to convey.

Telugu Hindi English

Date of Birth: January 09, 2000 Nationality: Indian Gender: Male I completed Stanford’s CS229(Machine Learning) and CS230(Deep Learning) courses on Youtube, although, there is no way to prove that to you because Youtube doesn't provide certificates. I also got a little experience on Kaggle, played around with some of the datasets they provide. Languages

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I implemented different ml algorithms like logistic regression, svm, decision trees, random forests, neural networks, etc. and also worked with some data visualization python libraries like matplotlib, seaborn, etc. In addition to using the existing ml libraries and packages, I also wrote the entire code for some of these ml algorithm’s like logistic regression, neural networks, etc. by myself.

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