anuradha151
Working on code that matters π»πΌπ» #Java #GO #node #Python #PHP #React #ReactNative
Arimac DigitalSri Lanka
Pinned Repositories
aws-sns-spring-boot
Spring boot application with AWS Simple Notification Service
chatbot-trained-neural-network
This repo holds code for a chatbot inspired by a YouTube video (https://www.youtube.com/watch?v=1lwddP0KUEg). It guides users through building a chatbot, covering: structure, conversation flow (intents), training data, neural network architecture, training, functionality, and demonstration. Credits go to the video for the project's framework.
FCM-Spring-boot
Spring-boot application with firebase cloud messaging using URL calls in fcm
FCM-Spring-boot-API
Using firebase admin sdk β
goback
Explore the efficiency of Go with this project showcasing a REST API seamlessly integrated with a PostgreSQL database. Following a standard project structure, it offers simplicity and maintainability. Ideal for developers seeking a solid foundation for building scalable and reliable APIs in Go.
Java-swingX-UI
Standalone application using javaSE π
ms-graph-api-spring
This project leverages Spring Boot to develop a robust RESTful API for sending and reading emails via Microsoft Graph, seamlessly integrated with Azure services. By utilizing the Azure Identity library along with Microsoft Graph SDK, this API ensures secure authentication and efficient communication with Microsoft Graph API endpoints.
Nuxt-crud
Front-end simple application using nuxt.js
rest-api-jwt
Authentication and authorization in spring-security and JWT π§
spring-grpc
This Spring Boot gRPC project provides a seamless integration of gRPC communication within a microservices architecture. Built with Spring Boot 3 and Java 17, it offers a structured approach for performing CRUD operations across client and server modules. The project comprises three essential modules: client, server and proto interface
anuradha151's Repositories
anuradha151/chatbot-trained-neural-network
This repo holds code for a chatbot inspired by a YouTube video (https://www.youtube.com/watch?v=1lwddP0KUEg). It guides users through building a chatbot, covering: structure, conversation flow (intents), training data, neural network architecture, training, functionality, and demonstration. Credits go to the video for the project's framework.
anuradha151/FCM-Spring-boot
Spring-boot application with firebase cloud messaging using URL calls in fcm
anuradha151/sqs-java-listener
A Java-based AWS SQS Listener implementation using the AWS SDK for Java v2. This project demonstrates how to poll messages from an SQS queue, process them, and delete them upon successful processing. The listener employs long polling for efficient message retrieval and can handle up to 10 messages per request.
anuradha151/goback
Explore the efficiency of Go with this project showcasing a REST API seamlessly integrated with a PostgreSQL database. Following a standard project structure, it offers simplicity and maintainability. Ideal for developers seeking a solid foundation for building scalable and reliable APIs in Go.
anuradha151/spring-grpc
This Spring Boot gRPC project provides a seamless integration of gRPC communication within a microservices architecture. Built with Spring Boot 3 and Java 17, it offers a structured approach for performing CRUD operations across client and server modules. The project comprises three essential modules: client, server and proto interface
anuradha151/annexify-admin
React admin panel for annexify
anuradha151/annexify-app-demo
React Native app for project annexify
anuradha151/annexify-central-service
This Spring Boot application with JAVA 17 serves as the central business logic layer for annexify service, utilizing MySQL, RESTful APIs, RabbitMQ for queue management, and connecting to your Python machine learning service for ML capabilities.
anuradha151/chatterji
WebSocket chat application
anuradha151/city-taxi-be
Spring Boot application for
anuradha151/City-Taxi-FE
anuradha151/dotnet-web-mvc-demo
anuradha151/dotnet-webmvc-demo
anuradha151/hello-swagger
anuradha151/Laravel-hands-on
Daily task web page - simple laravel
anuradha151/loyalty-pro-backend
anuradha151/loyalty-pro-web
anuradha151/nlp-chatbot-admin
anuradha151/nlp-chatbot-frontend
This React project offers a foundation for building a chat application. It utilizes Material UI (MUI) to create a user-friendly interface for sending and receiving messages. Axios facilitates communication with your backend API calls. The clean code base provides a starting point for implementing new features.
anuradha151/ocr-up-front
React app for uploading images for ocr
anuradha151/python-sqlalchemy-postgres
This FastAPI project offers a backend API for a PostgreSQL database using SQLAlchemy (ORM). It enables CRUD operations on data models, promoting scalable web applications.
anuradha151/react-mui-admin-template
Simple getting started react mui admin template with SideNav
anuradha151/REST-API-CRUD-with-NodeJS-Mongoose
anuradha151/rss-aggr
Go application from https://www.youtube.com/watch?v=un6ZyFkqFKo&t=24821s
anuradha151/taxi-dispatcher
Node.js REST API backend for managing taxi driver locations and providing efficient search capabilities.Β Geospatial indexing for optimized driver search within a specified radius Efficient driver retrieval based on proximity to a given location using 2dsphere indexing #Node.js #MongoDB #REST_API #geospatial #taxi service #driver_management
anuradha151/TradersBuddy
anuradha151/TradersChamp
Simple, Yet fulfilling POS
anuradha151/weather-app-rn
This React Native project builds a user-friendly weather app using the Open Weather Map API. Enter a city name or zip code to view current weather conditions (temperature, description, etc.) with error handling for invalid input or network issues. Explore adding weather icons and potential expansion to forecasts and location services.
anuradha151/web-x
React web application for annex service
anuradha151/word-processing-nltk
This Python script demonstrates a basic travel advisor chatbot built with NLTK for user input processing and rule-based responses. It serves as a foundation for further development with machine learning, dynamic knowledge bases, and user feedback mechanisms.