Asma Hachaichi's Projects
This project focuses on predicting the income of individuals based on a diverse set of demographic and socio-economic features. Using the Adult Income dataset, I used a Random Forest model to address this classification task.
Welcome to my GitHub profile repository! I'm Asma Hachaichi, a Computer Science Engineer with a deep passion for Data Science and Web Development. This special repository houses my profile README, showcasing my skills, projects, and interests in the tech world.
This project is a Maven-based application for currency management, featuring automated testing and reporting. It utilizes JUnit for unit testing.
Advanced NLP with Contextual Question Answering: This notebook extracts, cleans, and processes text data from multiple files. It utilizes transformer models for contextual question answering and sentence generation. Perfect for exploring cutting-edge NLP techniques and comparing transformer model performances.
Explore insights through a Responsive Data Visualization Dashboard, built with React and enhanced with React-ApexCharts. Features include a dynamic carousel of charts, detailed tables, and interactive elements for comprehensive analysis on any device
This Streamlit app enables users to upload a CSV file, navigate through different pages for data analysis including data description, feature analysis, and data statistics.
This static website serves as an enticing digital storefront where basket enthusiasts can explore, choose, and indulge in a world of basketry.
A web-based e-commerce platform designed for online shopping. This project would be suitable for those learning web development or creating a simple yet functional online storefront.
A web application developed in React.js that serves as a clone of the Hacker News website. The project contains two main pages: "New Stories" and "Top Stories", with story data fetched from the Hacker News API. Static login interfaces are provided for demonstration purposes.
This project collects movies information from IMDb using web scraping, then uses this data to guess movie ratings. It combines the skills of gathering data from the internet to predict how well movies are liked.
MétéoStylist: A Personalized Fashion Assistant. This expert system intelligently suggests outfit choices based on weather conditions.
🚀 My Portfolio: Explore a collection of my projects and expertise in web development. Discover a showcase of my skills, creative work, and contributions to the digital world.
This notebook presents a concise analysis for predicting obesity risk using machine learning models like Random Forest and XGBoost. Focused on identifying key factors influencing obesity through exploratory data analysis (EDA) and predictive modeling, the notebook offers insights into effective prevention strategies.
An advanced real-time monitoring solution leveraging AI for age and gender detection.
Exploratory and predictive analysis of the Titanic dataset using Python. This project encompasses data cleaning, visualization, feature engineering, and machine learning to predict survival rates.
An intuitive weather app that uses WeatherAPI to provide real-time weather updates. It offers quick access to your most recently searched cities.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent