Pinned Repositories
BlogSentimentAnalysis
Blog Sentiment Analysis Platform features a Spring Boot backend, a Flask app for sentiment analysis, and a React frontend. Comments are sent to Flask for sentiment evaluation using own nlp model , then returned to Spring Boot via kafka and persisted in MongoDB. The React frontend displays comments sorted from positive to negative.
ProjectManagerApp
This project is a multi-module microservices architecture built with Spring Boot, featuring two services: Product Service for managing product details (add, retrieve, delete) and Price Service for updating product prices. It utilizes PostgreSQL for data storage and Apache Kafka for asynchronous communication between services.
PingPongScores
This project monitors live Ping Pong scores through a Spring Boot backend and MongoDB database, with real-time updates and display managed by a React frontend. This setup ensures an interactive and up-to-date score tracking experience.
Diagnostics
A monolithic lab test sales application built with Java Spring Boot (backend) and React (frontend). It uses Redux for state management, PostgreSQL for data storage, and Kafka for asynchronous messaging. This integrated solution handles test orders, processing, and results.
LeaseManagement
BloodPoint
CVstreamer
OpenCV powered streamer : This project showcases a 2D face animation application that utilizes computer vision to create dynamic character expressions based on real-time facial feature detection.
Lease
MemeTemplates
NoMouse
PaulChinta7's Repositories
PaulChinta7/BloodPoint
PaulChinta7/LeaseManagement
PaulChinta7/MemeTemplates
PaulChinta7/PingPongScores
This project monitors live Ping Pong scores through a Spring Boot backend and MongoDB database, with real-time updates and display managed by a React frontend. This setup ensures an interactive and up-to-date score tracking experience.
PaulChinta7/ProjectManagerApp
This project is a multi-module microservices architecture built with Spring Boot, featuring two services: Product Service for managing product details (add, retrieve, delete) and Price Service for updating product prices. It utilizes PostgreSQL for data storage and Apache Kafka for asynchronous communication between services.
PaulChinta7/BlogSentimentAnalysis
Blog Sentiment Analysis Platform features a Spring Boot backend, a Flask app for sentiment analysis, and a React frontend. Comments are sent to Flask for sentiment evaluation using own nlp model , then returned to Spring Boot via kafka and persisted in MongoDB. The React frontend displays comments sorted from positive to negative.
PaulChinta7/PaulChinta7
PaulChinta7/Lease
PaulChinta7/ProductManager
ProductManager is an application to publish product price change.
PaulChinta7/Diagnostics
A monolithic lab test sales application built with Java Spring Boot (backend) and React (frontend). It uses Redux for state management, PostgreSQL for data storage, and Kafka for asynchronous messaging. This integrated solution handles test orders, processing, and results.
PaulChinta7/NoMouse
PaulChinta7/Pagination_ReactJS
PaulChinta7/paulchinta7-public
PaulChinta7/CVstreamer
OpenCV powered streamer : This project showcases a 2D face animation application that utilizes computer vision to create dynamic character expressions based on real-time facial feature detection.