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Full-stack Movie Review Website using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB. Features dynamic interactions and CRUD operations for movie data and reviews. Deployed on Vercel with continuous integration from GitHub.
The goal of this project is to build a salary prediction model, encapsulate it in a Docker container, and set up a continuous integration and deployment (CI/CD) pipeline using Google Cloud Build and Google Cloud Deploy. This setup ensures that the model is automatically built, tested, and deployed to a Kubernetes cluster whenever changes are made.
CloudLab simplifies cloud experimentation by automating the deployment, management, and teardown of reproducible cloud environments across providers like AWS, Azure, and GCP—helping developers, DevOps engineers, and researchers work faster with less manual setup.
This project deploys a two-tier LLM-backed chat service on AWS — a model server running vLLM and a separate web server running a FastAPI application behind nginx. Users must register and log in before accessing the chat interface. The model server is kept entirely off the public internet; all traffic is routed through the authenticated web layer.
This repository shows a collection of MultiCloud strategy of using the best services from two or more Cloud providers. It also encompasses concepts, designed multi-cloud architectures and infrastructure-as-code implementations that have been effectively deployed in real-world environments.
This repo guides in creating an AWS EC2 web server using Terraform. It provides step-by-step examples and guides from initial setup to deploying a demo page, including Apache installation and userdata usage
Flask app on Google Cloud Run that uploads images to GCS and auto-generates AI metadata using Gemini API. CI/CD via GitHub — every push deploys a new revision automatically.
This project deploys a production-style architecture on AWS: - Public EC2 (Nginx Reverse Proxy) - Private EC2 (Gitea + FastAPI) - NAT Gateway for outbound internet from private subnet
This project sets up a CI/CD pipeline to automate the build, test, and deployment of two Flask applications to Google Kubernetes Engine (GKE). Using Google Cloud Build, Cloud Deploy, and Skaffold, the pipeline deploys to a development cluster first, then promotes to production upon approval, all triggered by code pushes to GitHub.
AI-powered Resume Analyzer built with React & Puter.js. Includes seamless auth, upload and store resumes, and match candidates to jobs using smart AI evaluations. All wrapped in a clean, reusable UI.
Dhinesh Samuvel Baskar – Full-stack web developer projects showcasing Django, Python, Bootstrap, and cloud deployment skills. Includes live demos, web apps, and coding projects under active development.