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About Me
My Name Is Nandhan Varma.
-> I had completed my Computer Science and Engineering In Institute Of Aeronautical Engineering(IARE)-HYD.
-> Currently Working as a System Engineer (Digital) @ TCS Hyderabad.
-> My Primary Skills Are Python,Java,SQL
-> I Always Strive To Learn New Things.
-> My Major Intrests Are In The Backend Development and Deep Learning Fields.
-> I Had Done Various Projects Based On Deep Learning and Web Development
-> Learnt From Various Instructors And Passed Various Tests To Obtain Certification.
My Motto Is "Learn Develop Excel"
Academics
Throughout My Academics I Had Scored 80% And Above Which Shows I Am Enthusiastic Towards My Studies
School
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School:
Vidya Mandir E.M. High School
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Place:
Kadapa
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Board:
CBSE
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CGPA:
9.0
High School
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College:
Sri Chaitanya JR College
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Place:
Hyderabad
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Board:
TSBIE
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Marks:
920/1000
Undergraduate
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College:
Institute Of Aeronautical Engineering
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Branch:
Computer Science Engineering
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Place:
Dundigal, Hyderabad
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CGPA:
8.18
Stats in Various Coding Websites
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Website:
Codechef
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Username:
nandhan_8374
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Max Rating:
1638
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Solved:
297 Problems
- Account
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Webiste:
Codeforces
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Username:
Nandhan_8374
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Max Rating:
851
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Solved:
106 Problems
- Account
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Website:
Leetcode
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Username:
nandhan11
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Max Rating:
1465
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Solved:
415 Problems
- Account
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Website:
Hackerrank
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Username:
nandhanvarma
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Rank:
78146
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Score:
1519
- Account
Projects
Number Guess Game
- A Simple Game Using JS where the user had to guess the number between 1 and 30
- It has Restart Of Game Also Has The Implementation Of High Score
- Maximum Chances are 20
- For Every Wrong Attempt the Score Decrease By 1
- If the user guess is greater than the secret number it shows "The Guess is High"
- If the user guess is lower than the secret number it shows "The Guess is Low"
- If the user guess is correct then the background color changes and high score gets updated if it is a high score than previous high score
Tech Used
Face Mask Detection
- A Deep Learning Based Project Which Was Then Integrated With The Web Application
- Making Use Of Convolutional Neural Networks Where They Obtain Useful Information From The Images For Prediction Purpose.
- We Trained A Deep Learning Model With Hyperparameters like loss-function,learning rate and added fully connected layers to the existing pre-trained neural network.
- We Acheived Greater Accuracy In Prediction With MobileNetV2 Model.
- The Obtained Model Weights Are Then Combined With The Face Detection Model Weights.
- This Is Then Integrated With The Open CV Where Live Detection Of Person Happens And Warns The Person Who Is Not Wearing The Mask.
- With The Help Of Flask We Then Implemented Sign In And Sign Up Where We Stored User Mail and Phone Number In A Database.
- With This Web Application We Are Able To Successfully Send An Alert To The User Registered Mail Id Along With The Image During Capture.
Tech Used
Prediction Of Respiratory Diseases
- A Deep Learning Based Project Where Dataset Consist Of 3 Types Of Respiratory Disease X-Ray And Normal Chest X-Ray.
- With The Obtained Dataset, We Then Trained and Evaluated The Dataset Images With Various Neural Networks.
- The Image Which Is Uploaded By User Which Is Not In The Dataset.
- The Deep Learning Model Tries To Predict Which Type Of Respiratory Disease It Is Or The Person Is Not Affected With Any Respiratory Disease
Tech Used
Technologies Known
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