A robust backend for an e-commerce website using Node.js, Express, and MongoDB. It manages user authentication, product inventory, order processing, and etc. The backend ensures efficient data handling, supporting seamless e-commerce operations. The code is divided into 4 main modules: Models, Routes, Controllers, and Middleware.
A multi-layer perceptron (MLP) model for digit classification using the MNIST dataset. The model is trained using the backpropagation algorithm and achieves high accuracy in classifying handwritten digits. The project demonstrates the implementation of a neural network for image recognition tasks using pytorch.
A vision transformer model for image classification using the CIFAR-10 dataset. The model is based on the transformer architecture (From the 'Attention is all you need' paper) and achieves high accuracy in classifying images into different classes. The project is developed using pytorch.
This project deploys and trains a continuos pipeline using ZenML(an mlops framework) to predict the housing prices. The pipeline includes data ingestion, preprocessing, feature engineering, model training, and evaluation. The project demonstrates the implementation of multiple regression models for predicting housing prices.
A Java web application for managing customer information using MySQL. The application allows users to perform CRUD operations on customer data, including adding, updating, and deleting customer records. The project demonstrates the development of a web application using Java technologies. The project is developed using Java, JSP, Servlets, and MySQL. The project was built by following the entire software development life cycle.
A Tetris game developed using JavaFX. The game features a graphical user interface with different levels of difficulty and scoring. The project demonstrates the implementation of a classic arcade game using Java technologies. The project is developed using Java, JavaFX, and CSS. It is built using maven.
A web portfolio developed using Next.js, TailwindCSS, and React. The portfolio showcases projects, blog posts, and contact information. The project demonstrates the implementation of a responsive web portfolio using modern web technologies. There are animations and transitions to make the website more interactive. The detailed information about this project will be available soon.