Rashi Agarwal's Projects
Managing non relational database in AWS
Text Captcha generator using python
This is built using python. Residents can let the management know about the problems they face in the area by using this Complaint Management System.
This repository contains javascript code files which will help you operate on dynamodb tables with the help of AWS-SDK.
This repository contains file to configure a CI/CD pipeline for the application using: Git, Jenkins and Docker. The application will not exist on the same machine as Jenkins , and the application's docker image will be pushed to docker hub on each commit automatically.
This project proposes a web application for the users to identify the disease they have been infected with based on the symptoms they have been suffering with a given confidence score. It also includes the capability of recommending home remedies as a treatment for the disease that the user may be infected with.
TRAIVIS Project focused on building a working model which would grade the students based on the answers they submit to a subjective question using Machine Learning, Natural Language Processing.
We will propose a hybrid architecture with voice and spiral drawing dataset information analysis to predict Parkinson’s disease in an easy manner.
This repository contains placement resources and interview experiences of various companies.
All Algorithms implemented in Python
This is a web application that would help the users to store their data securely on cloud by using different encryption algorithms .The method involves encrypting a file , then decrypting it with a private key. The files can be stored by the user on cloud (AWS S3) and viewed and downloaded. The website is also secured using AWS WAF.
Minor 1 project based on self driving car simulation with two-step authentication
This is a cloud application development project. This project is a multithreaded HTTP server rendering a dynamic Shopping website named: YourStyle. The project also implements big-data analytics on Amazon review data and map-reduce on text files. Project is deployed on AWS cloud platform.