MySQL, MongoDB, OracleDB
Git, GitLab, GitHub
Sublime Text, VS Code
AWS S3, Azure
Redux, Redux (with Saga and Thunk)
Amazon Web Services(Cognito, SNS, S3, Dynamo DB, AppSync)
An Angular app built with features such as real-time text Messaging , media Messaging , the ability to make audio and video calls . The App also has the feature to thread a message ( i.e. keep on replying under a particular message ) . We could create groups and start polls in a group about certain topics , the members of the group could answer the poll using the options provided by the poll creator.
It was very similar to google drive. I used Angular for frontend, the back-end consisted of a root folder, in which you can create multiple folders and save files using spring-boot REST API , you could also create folders within the folders, just like our normal systems, there were validation on type and size of the file that could be uploaded, the directory-structure was a collection in MongoDB, each directory holding the folders it contains and a list of foreign keys, using which we could get the required file from fileStore-collection in MongoDB.
The App represented business operations-critical data in pictorial form. I used Angular and AmCharts library to generate different types of charts PI, BAR, etc as per business needs, for the best possible Representation of the key point indicators Data. The spring boot API held the logic for the manipulation of the fetched information from the Mysql Database.
A React.js app built with SignUp and Login using AWS Cognito user pool service. It uses redux to store user cart Information. The app also had a subscription feature to display products to user, that was added newly added from the backend in real-time.