nikhilraj1997

Safetysign_detetection_with_haptic-feedback

This Repo will include Code, documentation and dataset for the project.

countryfy

Android MVVM architecture implementation with Retrofit, RxJava and Unit tests by Mockito

fraco-front

fracO

go-learn

This is a repository of me learning Go and jotting down what I am learning in a consise form

graphql-tut

Hangman-Basic

Hangman Game using java swing

hedwig

Offline (intranet) asynchronous chat system

knn-scratch

Implementation of K-Nearest Neighbours (KNN) from scratch

Lung-Disease-Detection-using-CT-Imaging

Computer tomography (CT) scans are one of the only ways to diagnose lung diseases. With the rise of lungrelated issues in recent times, it would be a boon if a system existed that would aid medical professionals to diagnose diseases from chest CT scans. This paper proposes to develop such a system in the form of two separate modules using basic image processing techniques and convolutional neural networks (CNN). The image processing module uses basic image processing to reduce computational complexity and produce excellent results, while the classification module is reliable while also training at an acceptable rate. Our proposed system predicts lung disease with an average accuracy of 98.11% which is on par with other methods that are far more complex and use significantly higher computational resources.

Searching-Efficient-Models-for-Human-Activity-Recognition

Searching Efficient Models for Human Activity Recognition

nikhilraj1997/go-learn

This is a repository of me learning Go and jotting down what I am learning in a consise form

nikhilraj1997/hedwig

Offline (intranet) asynchronous chat system

nikhilraj1997/countryfy

Android MVVM architecture implementation with Retrofit, RxJava and Unit tests by Mockito

nikhilraj1997/fraco-front

fracO

nikhilraj1997/graphql-tut

nikhilraj1997/Hangman-Basic

Hangman Game using java swing

nikhilraj1997/knn-scratch

Implementation of K-Nearest Neighbours (KNN) from scratch

nikhilraj1997/Lung-Disease-Detection-using-CT-Imaging

Computer tomography (CT) scans are one of the only ways to diagnose lung diseases. With the rise of lungrelated issues in recent times, it would be a boon if a system existed that would aid medical professionals to diagnose diseases from chest CT scans. This paper proposes to develop such a system in the form of two separate modules using basic image processing techniques and convolutional neural networks (CNN). The image processing module uses basic image processing to reduce computational complexity and produce excellent results, while the classification module is reliable while also training at an acceptable rate. Our proposed system predicts lung disease with an average accuracy of 98.11% which is on par with other methods that are far more complex and use significantly higher computational resources.

nikhilraj1997/Searching-Efficient-Models-for-Human-Activity-Recognition

Searching Efficient Models for Human Activity Recognition

nikhilraj1997/least-mean-square

nikhilraj1997/markitech-assessment

nikhilraj1997/mehfil-frontend

nikhilraj1997/nikhilraj1997

About me

nikhilraj1997/nvim

nikhilraj1997/react-expensify

nikhilraj1997/react-indecision-tut

nikhilraj1997/stock-market-prediction

nikhilraj1997/two048

2048 game in java that runs in command prompt