Pinned Repositories
cache-with-java
A LRU Cache implementation with Java
toxic-comments-classifier
Toxic comments classifier is a machine learning project which is used to sort out in-appropriate comment and classify its corresponding toxic lables like obscene, threat, insult etc. The working is depicted using a simple end-to-end chat application which runs a trained ML model in the backend.
url-shortener
A service that is used to shorten long URLs to short URLs. The service is backed by a MySQL (JPA implemented) for persistence storage and also a Redis (Redisson) for caching purposes.
twitter-data-analysis
Twitter data analysis is an event-driven pipelined project which is used to fetch, store and analyze twitter data based on the given trending topics. The project uses Twitter HoseBird Client, Kafka, and Elasticsearch in the pipeline.
bitcoin-tracker
Bitcoin tracker is a an application which is used to track the bitcoin prices and the change in it's price day by day. It is developed using NodeJS which is backed by bitmex APIs which is a good platform to track bitcoin prices live.
what-todo
What-ToDo is a simple application to track the items to be done. The application is built upon FARM stack (FastAPI - React - MongoDB). FastAPI - is the backend server. React - is the frontend client. MongoDB is the database used for persistence.
ashwinpadmakumar
Config files for my GitHub profile.
design-patterns
Implementation of several types of Design Patterns. All the code is written in Java
distributed-log-tracing
Implementation of distributed log tracing in microservices architecture leveraging the capability of spring cloud sleuth
first-contributions
🚀✨ Help beginners to contribute to open source projects
ashwinpadmakumar's Repositories
ashwinpadmakumar/ashwinpadmakumar
Config files for my GitHub profile.
ashwinpadmakumar/twitter-data-analysis
Twitter data analysis is an event-driven pipelined project which is used to fetch, store and analyze twitter data based on the given trending topics. The project uses Twitter HoseBird Client, Kafka, and Elasticsearch in the pipeline.
ashwinpadmakumar/RentMe-Vehicle
Vehicle for Rent
ashwinpadmakumar/projectmate
Find your project mate online
ashwinpadmakumar/url-shortener
A service that is used to shorten long URLs to short URLs. The service is backed by a MySQL (JPA implemented) for persistence storage and also a Redis (Redisson) for caching purposes.
ashwinpadmakumar/spring-boot-backend
eCommerce backend with RESTful API
ashwinpadmakumar/hydrate-reminder
RuneLite plugin that sends reminders to take occasional hydration breaks.
ashwinpadmakumar/ProductManagementSystem
It is a marketplace where customer can place order and Admin can manage inventory of products, view order and generate the report.
ashwinpadmakumar/first-contributions
🚀✨ Help beginners to contribute to open source projects
ashwinpadmakumar/bitcoin-tracker
Bitcoin tracker is a an application which is used to track the bitcoin prices and the change in it's price day by day. It is developed using NodeJS which is backed by bitmex APIs which is a good platform to track bitcoin prices live.
ashwinpadmakumar/design-patterns
Implementation of several types of Design Patterns. All the code is written in Java
ashwinpadmakumar/route-optimization-based-on-pollution-intensity
The project uses an IoT device (Aurdino with pollution detected sensor) to detect the pollution level at each locality and later alert/intimate the user where the user desires to go. The data collected are pushed to cloud storage (Firebase). The alert intimation can be in the form of an electrical device (LED) or by using a mobile application. Further by the accumulation of several data collected from different places, the polluted area could be plotted using Maps.
ashwinpadmakumar/toxic-comments-classifier
Toxic comments classifier is a machine learning project which is used to sort out in-appropriate comment and classify its corresponding toxic lables like obscene, threat, insult etc. The working is depicted using a simple end-to-end chat application which runs a trained ML model in the backend.
ashwinpadmakumar/LeetHub
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
ashwinpadmakumar/what-todo
What-ToDo is a simple application to track the items to be done. The application is built upon FARM stack (FastAPI - React - MongoDB). FastAPI - is the backend server. React - is the frontend client. MongoDB is the database used for persistence.
ashwinpadmakumar/cache-with-java
A LRU Cache implementation with Java
ashwinpadmakumar/lets-chat
A simple android chat application built using android studios with gradle framework and google's firebase as the database. The messages are pushed to the firebase and it sends a notification to the destination user.
ashwinpadmakumar/socket-programming
A simple client server setup to send messages from client to server using sockets in Java.
ashwinpadmakumar/distributed-log-tracing
Implementation of distributed log tracing in microservices architecture leveraging the capability of spring cloud sleuth