Srinath Sai Tripuraneni's repositories
Registration-and-Login-System
A simple user-friendly and expandable registration and login system developed using Spring Thymeleaf, Spring Security and Spring Validation.
Netflix-recommendation-challenge
implemented model and refined with another model which stands 3rd in the contest of 1million$ prize worth, that aims to decrease original rmse by 10 percent with efficient time-complexity.
Data-Structures-and-Algorithms-Notes
It contains all the data structures and computer fundamentals notes I made while preparing for placements.
Foundations-of-Network-Science
This repository is a progressive project focusing on main concepts which highlights the evolution of Network science in the field of Graph data.
Google-pagerank-algorithm-on-Wikipedia
A memory efficient algorithm for finding which pages need to have importance in recommendations
Movie-recommendation-using-Apriori-algorithm
This project aims to perform fruitful recommendations on big data of movie names using Apriori algorithm with pyspark and without the use of inbuilt libraries.
Todo-Management-with-Spring-Security
A TODO management developed with additional Spring security which is an extension of my previously built application called User management .
An-Interactive-search-Engine
This project implements the information retrieval of search engine which plays a crucial role in retrieving information after the query is given.
Analyzing-clustering-with-pyspark
2 Famous algorithms called Kmeans and Kmeans++ are analyzed with pyspark without any inbuilt libraries.
Building-SpringBoot-MicroServices
This repository deals with the highlighting of the importance of Microservices in real world scenarios by building them from scratch to building Apache Kafka and RabbitMq to handle real streaming data
Full-stack-web-based-application
A full stack ecom store application has been built using PHP with atleast one trigger, one procedural call and one view.
Time-Series-Forecasting-of-Political-bias-in-Twitter-and-GAB
Predicting, how many left, left-leaning, right, right-leaning and center tweets , GAB posts and their likes are being posted for next day and next few 7 days.
awesome-README-templates
A collection of awesome readme templates to display on your github profile.
config-server-repo
Config server repository to store all the configuration files of all Microservices.
Critical-section-of-a-global-shared-memory
A effective critical section has been implemented in multi threading program that ensures no race or deadlocks.
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Dimensionality-Reduction
This project highlights the importance of dimensionality reduction by exploring 2 Machine learning techniques called "Principal Component Analysis" and "T-SNE".
Docker-Application
This project aims to demonstrate Importance of Docker in enabling faster software deliver cycles by implementing Ubuntu, Pyspark as inbuilt and allowing user to run inbuilt wordcount program using Pyspark
E-Commerce-Application
The E-Commerce Application is built using Java and Spring Boot, with security, scalability, and ease of maintenance. The backend uses Spring Data JPA to interact with a MySQL database, making it easy to manage and store important entities such as categories, products, orders, etc. Authentication is handled by Auth0, to provide secure REST API.
Employee-Management-in-Reactive-Request-Programming-
A Spring WebFlux application developed in Employee Management System.
Exploration-of-pyspark.ml-package-for-50-k-rows
Using pyspark.ml package for powerful machine learning algorithms
Interactive-and-Real-time-games-and-events-in-Java-and-Spring-Boot
Repository of my codes that passed successfully all the test cases of real time online events.
Multi-threading
Multi threading for a real life problem
Student-Management-System-using-Spring-Thymeleaf
A creative student management system was built using Java-17 and Spring Boot.
System-design-of-LRU-and-FIFO-cache
An efficient way of LRU and FIFO cache has been implemented.
Twitter-data-partioning-using-MAP-REDUCE-AND-PARTITIONER
count of every Hashtag with any given keyword in tweet is displayed