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  • šŸ‘‹ Hi, Iā€™m ravi
  • šŸ‘€ Iā€™m interested in philosophy which is super irrelevant to the coding (which follows logic), but I enjoy both LOL!!!
  • šŸ’žļø Iā€™m looking to collaborate on Data design and development

Raviteja Kase's Projects

canadatourism icon canadatourism

Developed a website and an app that enables users to view the tourist places and book a ticket from the app or website.

crispfeednewsapplication icon crispfeednewsapplication

A real time news is fetched from news api and stored in Firebase and android app is created which refreshes the news according to the region selected

foodably icon foodably

Foodably website allows users to create their profile, post recipes and subscribe to other users for their recipes.

learning_management_system icon learning_management_system

A serverless application which is built MS) using a multi-cloud deployment model, and backend-as-a-service (BaaS). The LMS provides customization feature and additional services for instructors, and limited services to students. The LMS provides online virtual assistance, which can quickly answer the queries of users, and in addition, it provides a chat functionality between the registered user.

sentiment-semantic-analysis icon sentiment-semantic-analysis

Tweets are collected and stored in AWS and performed analysis using PySpark by creating a Spark application and polarities of tweets are stored and represented the analysis visually in Tableau and Cognos BI.

smartcommunity icon smartcommunity

Using the android application, users can be able to take part in surveys needed by clients and as the app was created during the covid19 pandemic, response pf public getting adjusted to the situation is captured and stored in MongoDB atlas for visualization. Technologies used - Android SDK, Java, NodeJS, Docker hub, AWS

userregistration-and-gcloud icon userregistration-and-gcloud

APIs are built using spring boot and containerized using Docker. Built containers are tagged to Google Cloud registry. Container images are run using Google Cloud run. End points are consumed in angular application.

web-scrapong-database-management icon web-scrapong-database-management

Using selenium and Beautiful soup large sets of data is extracted and schemas are created and normalised and loaded into database for further analysis

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