AnubhavJohri
GenAI | Full-Stack Dev | Machine Learning | Deep Learning | Coder | Kubernetes
Dview.ioBengaluru
Pinned Repositories
college-listing-app
This web app shows the colleges with their basic information and mainly focuses on implementing lazy load
graphor-app-backend
Converts CSV file/JSON into Graphical format
Parkinson-Detection
We have implemented an extensive empirical evaluation of CNNs (Convolutional Neural Networks) on large-scale image classification of grait signals converted to spectrogram images and deep dense ANNs (Artificial Neural Networks) on the voice recordings to predict whether a patient is suffering from Parkinson disease or not.
Ransomware-Detection
RansomwareElite is an android application which detects the presence of ransomware in the apps installed on an android device by checking the presence of any threatening text in app code or by verifying the permissions requested by the app from the user. In this paper, we focused on improving the performance of RansomwareElite app by extending its features. Now, the RansomwareElite app also searches the presence of any threatening image or file containing threatening text by analyzing the Android Package Kit(APK) file of android app. Moreover, it also detects some specific methods and classes in the code of the APK which could be used for locking the device and checks some specific permissions requested, for uninstalled apps now. Further, it maintains a database on the online server for the records of all the suspicious and ransomware apps detected by RansomwareElite. We have tested RansomwareElite with 9 Test Apps which are manually created based on the features of ransomware family and on 48 android devices. After analyzing the test results, we have found that the performance of RansomwareElite is improved after incorporating the new features and RansomwareElite app detects the presence of ransomware in installed as well as uninstalled apps present on an android’s device in an efficient manner.
silk-road-service
silk-road-ui
Text-Classification-NLP-
Manually Breaking Tweets into features using and classifying tweets into various categories using many supervised algos in SKLearn Library
Textor-app-backend
Extracts texts from Images using Google Cloud Vision api.
Textor-app-frontend
Textor extracts texts from images
Twitter-US-Airline-Sentiment-Analysis
This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.
AnubhavJohri's Repositories
AnubhavJohri/Twitter-US-Airline-Sentiment-Analysis
This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.
AnubhavJohri/Parkinson-Detection
We have implemented an extensive empirical evaluation of CNNs (Convolutional Neural Networks) on large-scale image classification of grait signals converted to spectrogram images and deep dense ANNs (Artificial Neural Networks) on the voice recordings to predict whether a patient is suffering from Parkinson disease or not.
AnubhavJohri/Text-Classification-NLP-
Manually Breaking Tweets into features using and classifying tweets into various categories using many supervised algos in SKLearn Library
AnubhavJohri/college-listing-app
This web app shows the colleges with their basic information and mainly focuses on implementing lazy load
AnubhavJohri/graphor-app-backend
Converts CSV file/JSON into Graphical format
AnubhavJohri/Ransomware-Detection
RansomwareElite is an android application which detects the presence of ransomware in the apps installed on an android device by checking the presence of any threatening text in app code or by verifying the permissions requested by the app from the user. In this paper, we focused on improving the performance of RansomwareElite app by extending its features. Now, the RansomwareElite app also searches the presence of any threatening image or file containing threatening text by analyzing the Android Package Kit(APK) file of android app. Moreover, it also detects some specific methods and classes in the code of the APK which could be used for locking the device and checks some specific permissions requested, for uninstalled apps now. Further, it maintains a database on the online server for the records of all the suspicious and ransomware apps detected by RansomwareElite. We have tested RansomwareElite with 9 Test Apps which are manually created based on the features of ransomware family and on 48 android devices. After analyzing the test results, we have found that the performance of RansomwareElite is improved after incorporating the new features and RansomwareElite app detects the presence of ransomware in installed as well as uninstalled apps present on an android’s device in an efficient manner.
AnubhavJohri/Silk-Road-Backend
AnubhavJohri/silk-road-service
AnubhavJohri/silk-road-ui
AnubhavJohri/Textor-app-backend
Extracts texts from Images using Google Cloud Vision api.
AnubhavJohri/Textor-app-frontend
Textor extracts texts from images
AnubhavJohri/bcg-app-service
An express REST Api working for bcg-ui-app React app. Uses Mongo for backend.
AnubhavJohri/bcg-ui-app
It's an app that holds data of insurance policies active right now and gives users the features to get and update the details of existing policies also, see the number of policies bought/month in a particular region.
AnubhavJohri/CEHv10
Leaked slides and labs
AnubhavJohri/Decision-Tree-Build-Code-
AnubhavJohri/graphor-app-frontend
Converts a CSV file/JSON into Graph
AnubhavJohri/Hello-World
Beginner
AnubhavJohri/JavaDemo
First Java Project
AnubhavJohri/Keras-TensorFlow
Implementing Deep Neural Nets built on Keras and Tensor-Flow Framework
AnubhavJohri/Machine-Learning-Practise
Working on some good practices like Feature Scaling and trying to reduce cost effectively using Multi-Variable Gradient Descent . Also implementing Clustering , Logistic Regression and Image classification on Olivetti datasets. Datasets used are obtained from SKLearn.
AnubhavJohri/practice-app
AnubhavJohri/ranger
Apache Ranger - To enable, monitor and manage comprehensive data security across the Hadoop platform and beyond
AnubhavJohri/RNN
AnubhavJohri/test-app
AnubhavJohri/Titanic-Assignmen