SILIT is an innovative tool designed to convert sign language communication into written or spoken language. Utilizing advanced computer vision techniques, SILIT recognizes and tracks the movement of hands, fingers, and other relevant features in real-time video feeds
This project dashboard provides a comprehensive analysis of the electric vehicle (EV) market in the United States.
The goal of this project is to analyze data science salaries using machine learning techniques, specifically K-nearest neighbors (KNN) and K-means clustering.
EngliScribe is a website-based application that uses artificial intelligence as a solution for students to improve the language structure (grammar) of their documents.
The objective of this project is to analyze and present data related to the Gross Domestic Product (GDP) of Indonesia at the provincial level. The project aims to provide insights into the distribution of GDP across provinces and identify the top provinces with the highest GDP in billion Indonesian Rupiah (IDR).
This project uses data analysis and linear regression techniques to explore the disparity in salaries between male and female employees.