Products

  • EC Site (Redux)

    EC Site (Redux)

    Overview: This EC site is built with React and Redux for state management, ensuring a scalable and efficient solution for managing product data and user interactions. React Router is used to handle navigation, allowing users to switch between pages (product…

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  • Movie App

    Movie App

    Overview: This Movie Database App is a cross-platform mobile app built using Flutter that provides users with access to popular movie information, including titles, ratings, and posters. It integrates with the TMDB (The Movie Database) API, allowing users to search…

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  • Task Management App

    Task Management App

    Overview: The Task Management App allows users to create, edit, complete, and delete tasks. The app dynamically updates the task list as users interact with it, giving real-time feedback on the state of each task. This app was built using…

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  • Weather App

    Weather App

    Overview: This Weather Forecast App is a cross-platform mobile application, developed using Flutter, that provides users with real-time weather updates for any city, and designed to run smoothly on both Android and iOS devices, offering a consistent experience across platforms.…

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  • EC Site

    EC Site

    Overview: This e-commerce platform is designed to showcase products, allow users to add items to their shopping cart, and manage their cart contents. Though it’s a simple project, it demonstrates important concepts such as modular component design, state management using…

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  • Movie Search App

    Movie Search App

    Overview: This is a simple Movie Search App that allows users to explore popular movies, search for films, and view detailed information such as release date, ratings, and overviews. This app fetches data from The Movie Database (TMDb) API, a…

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  • Weather App

    Weather App

    Overview: This is a simple Weather Forecast App delivers real-time weather updates based on a chosen city. Built using SwiftUI and leveraging the OpenWeatherMap API, the app provides instant access to current weather conditions, including temperature, humidity, wind speed, and…

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  • ToDo App (Core Data)

    ToDo App (Core Data)

    Overview: This is the simple ToDo App using SwiftUI and Core Data to build interactive and reactive iOS applications. With features like real-time updates, task management, and a clean UI, this app showcases to create user-friendly interfaces with minimal code.…

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  • CMS

    CMS

    Overview: This Content Management System (CMS) built using React allows users to easily create, edit, and manage content, such as blog posts or articles. The system is designed to offer a straightforward interface for content creation and modification, making it…

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  • Weather Forecast App

    Weather Forecast App

    Overview: The is a simple tool that allows users to search for real-time weather conditions by entering a city name, using React, it fetches data from the OpenWeatherMap API and displays the weather conditions such as temperature, humidity, wind speed,…

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  • ToDo App

    ToDo App

    Overview: This is the simple ToDo List App using SwiftUI to build interactive and reactive iOS applications. With features like real-time updates, task management, and a clean UI, this app showcases to create user-friendly interfaces with minimal code. Screenshots Key…

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  • Blog Platform

    Blog Platform

    Overview: The Blog Platform is designed to be a simple and user-friendly content management system where users can do CRUD operation. This platform is built with React, using the Context API to manage the state of the blog posts. We…

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  • Bank customer targeting

    Bank customer targeting

    Overview: This project focuses on predicting customer reactions to opening a bank account, based on historical data. The system extracts important customer features and trains a model using a Decision Tree algorithm to classify potential customers’ responses. The model’s performance…

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  • Lunch box demand forecast

    Lunch box demand forecast

    Overview: This project focuses on predicting lunch box sales using historical data to forecast future demand. The system extracts key features from the data and uses both Linear Regression and Random Forest models to make predictions. The evaluation is based…

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  • Music labeling

    Music labeling

    Overview: This project focuses on music labeling by predicting music categories based on audio data. The model is built using a neural network with specific layers, including ReLU and Sigmoid activation functions, to classify the music genres effectively. The model…

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  • Titanic survival prediction

    Titanic survival prediction

    Overview: This project aims to predict whether passengers on the Titanic survived based on their personal information, such as age, gender, and class. The model is developed using the Decision Tree algorithm, which is trained on historical passenger data to…

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  • Irise classification

    Irise classification

    Overview: This project focuses on predicting Iris flower varieties based on specific features using a Decision Tree model. The goal is to classify Iris flowers into one of three species: Setosa, Versicolor, or Virginica. The model is trained on a…

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  • Abalone age prediction

    Abalone age prediction

    Overview: This project aims to predict the age of abalones based on physical measurements using an XGBoost model. The system analyzes features such as shell length, weight, and diameter to predict the age of abalone, a common task in marine…

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  • Classification of poisonous mushrooms

    Classification of poisonous mushrooms

    Overview: This project focuses on classifying poisonous mushrooms based on their features using a Decision Tree model. The goal is to predict whether a mushroom is poisonous or not by analyzing specific characteristics, such as color, shape, and texture. The…

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  • Prediction of soccer spectator attendance

    Prediction of soccer spectator attendance

    Overview: This project focuses on predicting the number of spectators attending soccer matches based on historical data. The model is built using the Random Forest algorithm to analyze features such as match conditions and team performance, aiming to forecast attendance…

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