S Sabari raj's Projects
This Hybrid MERN-Flask architecture project has successfully demonstrated the development of a sophisticated conversational Chatbot using NLP and Deep Learning techniques. The bot is capable of understanding and responding to a wide array of user inputs limited to MENTAL-HEALTH.
This Project leverages computer vision and the OpenCV library to facilitate interactive color detection in digital images. Users can double-click on an image, and the script extracts the selected color's RGB values and provides the corresponding color name from a predefined color database.
This repository contains various implementations related to computer networking concepts and protocols.
#hactober2023 Hactoberfest-accepted
This repository contains a full-stack application built with the MERN stack (MongoDB, Express.js, React.js, and Node.js). It includes secure authentication with JSON Web Tokens (JWT), cookie handling for session management, and robust input validation using express-validator.
This repository contains the code and resources for a machine learning project aimed at detecting pneumonia from chest X-ray images using Convolutional Neural Networks (CNN). This project leverages deep learning techniques to assist in the early diagnosis of pneumonia, potentially aiding medical professionals and improving patient outcomes.
This repository contains the demo template for a personal portfolio website using Flask and Jinja-templating. It showcases my projects, skills, and experience in various technologies. Built with a modern tech stack including HTML, CSS, JavaScript, and a responsive design framework. Explore my work and connect with me for collaborations!
Welcome to my special repository, a showcase of my coding journey and projects. Here you'll find a curated collection of my most significant work, including innovative applications, unique solutions, and experimental projects. Each project is a testament to my dedication to technology and continuous learning.
SavorSphere is a vibrant and luxurious pizza ordering application built using the MERN (MongoDB, Express.js, React, Node.js) stack. This application provides an elegant and user-friendly platform for pizza enthusiasts to explore, customize, and order a wide variety of pizzas.
This program simulates a sleeping teaching assistant (TA) using threads and semaphores. The TA assists students who need help, provided they can find an available chair in the waiting room. The synchronization mechanisms ensure that only one student can be helped at a time, while others either wait or return later.