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Data Sciences

My Projects

In my portfolio, you’ll find a variety of projects that reflect my growing skills in data science, UI/UX design, and software development. I’ve enjoyed working through these challenges and look forward to continuing my growth with each new project.

14.DRPM : Disaster Response Prediction Model

14.DRPM : Disaster Response Prediction Model

14.DRPM : Disaster Response Prediction Model

In a world increasingly impacted by natural disasters such as hurricanes, wildfires, and floods, effective disaster response has never been more critical. Delays in resource allocation and inaccurate predictions have highlighted the need for advanced, ethical, and reliable disaster prediction systems. This workbook is designed to help data science teams like yours navigate the ethical complexities of building and implementing predictive models for disaster response.

Infodemic.cc: Web Scraping

Infodemic.cc: Web Scraping

Infodemic.cc: Web Scraping

I led a team to develop web crawling algorithms that scraped media web pages across multiple countries and languages to ensure accurate data collection for legal analysis. I also managed over 1,500 Twitter accounts using automation tools, which supported the company’s social media analysis. This project resulted in Infodemic.cc, an AI-driven platform designed to detect information manipulation and identify coordinated behaviors by troll groups.

Vibe.AI: Multi-Language AI Voice and Music Cloning Platform

Vibe.AI: Multi-Language AI Voice and Music Cloning Platform

Vibe.AI: Multi-Language AI Voice and Music Cloning Platform

Vibe.AI brings voices to life in ways that feel both personal and responsible. With options to customize across languages, it’s designed to help with everything from accessibility needs to preserving loved ones' voices. Privacy and ownership are central to Vibe.AI and it makes it a tool for meaningful connection that respects the individual.

Advanced AI-Powered Music Classification System

Advanced AI-Powered Music Classification System

Advanced AI-Powered Music Classification System

Driven by my passion for music, I developed an AI system to distinguish AI-generated from human-composed tracks. Using a custom dataset and machine learning models like SVM and Random Forest, I analyzed key musical features like beat and spectral contrast. This project allowed me to explore AI's creative role and its potential for shaping personalized music experiences.

Eigenface

Eigenface

I explored face recognition systems by applying Principal Component Analysis (PCA) through the Eigenfaces method. Inspired by the biases I’ve noticed in facial recognition systems, I wanted to understand how dimensionality reduction could improve accuracy.

Artificial Intelligence and its Impact on the Economy

Artificial Intelligence and its Impact on the Economy

Artificial Intelligence and its Impact on the Economy

In this project, I analyzed the potential link between AI adoption and GDP growth across countries. By combining datasets into a unified database and visualizing trends with scatterplots and linear regression, I explored whether countries with advanced AI capabilities show stronger economic performance. The results offered insights into AI's global economic impact and the challenges of data integration for meaningful analysis.

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