divya-av's repositories
COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
hello-world
first repository
Implementaion-of-Private-Cloud-using-ownCloud
Implementation of Private Cloud using ownCloud. ownCloud is a suite of client–server software for creating and using file hosting services. This repository explains implementing ownCloud on an Ubuntu VM running on top of a Windows host for secure cloud storage
ModSecurityCRS
Implementation of ModSecurity, Core Rule Set (CRS) on Apache server. ModSecurity, sometimes called Modsec, is an open-source web application firewall. ModSecurity was installed and configured on an Ubuntu VM using Virtual Box
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall