Overview

This project uses the K-Means clustering algorithm to analyze engagement metrics on tweets related to the Apple Vision Pro launch. The goal was to uncover patterns in how users interacted with promotional content and discussions surrounding the product.

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Conclusion & Impact

The clustering results effectively segmented tweets into distinct engagement categories (e.g., high-reach/low-interaction, high-discussion, balanced engagement). These insights highlight how influential users and specific content types shape public discourse and can inform future marketing strategies.

Technologies Used

Python Pandas Scikit-learn Matplotlib Seaborn

Overview

This project analyzes audio features from uploaded .wav files using Librosa and classifies the music genre via a pre-trained Keras neural network. It serves as the analysis core for a potential music recommendation system.

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Purpose & Potential

The primary goal is accurate music genre classification from raw audio. This enables applications like automated music library organization, content-based recommendation engines, and music information retrieval systems.

Technologies Used

Python Librosa NumPy TensorFlow/Keras Matplotlib JSON OS

Early Build of the Game - April 7th, 2025

Overview

Forsaken is a souls-like game where the player navigates challenging dungeons, defeating bosses that represent the protagonist's internal conflicts from their past life. Built with Unity, the game explores themes of choice, grief, and redemption, offering unique gameplay mechanics and player agency in the final outcome.

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Key Mechanics

Gameplay innovation centers around high-risk, high-reward combat and resource management:

• Revive slain bosses/enemies as temporary allies.
• Steal enemy powers upon defeating them.
• Transform into enemies for a brief period (one-time use per transformation).
• Unique weapons with stats dependent on the player's current HP/Mana levels.
• Killing enemies restores HP/Mana, encouraging aggressive play.
• High-cost spells with cooldowns to ensure strategic use.

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Narrative & Themes

The player character, suffering memory loss after death, is offered a path to resurrection by two opposing gods (Life & Death) in exchange for service. As the player clears levels representing the five stages of grief (Denial, Anger, Bargaining, Depression, Acceptance), conversations with a shadowy figure reveal fragments of their past life and the true nature of the gods' divine wager.

The core theme explores the illusion of choice, challenging the player to potentially break free from the gods' predetermined paths and forge their own destiny.

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Development & Role

This game was developed as a team project using the Unity engine. My specific responsibilities included:

• Character Design
• Core Gameplay Mechanics Implementation
• Animation Integration
• Non-Player Character (NPC) Logic
• World Building Elements

Technologies Used

Unity C#

Overview

NetworkAI addresses the common job market challenge where college students and early-career professionals face the frustrating cycle of cold applications. Instead of the "apply and pray" method, this platform provides a smarter, more personal way to connect with people behind job listings—hiring managers, alumni, or team members—giving applications context and visibility.

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How It Works

The platform intelligently enhances the job search process:

• Pulls job listings from popular sites.
• Uses AI and publicly available data to identify key employees at target companies associated with those listings.
• Surfaces relevant contact information where available and appropriate.
• Provides users with suggested outreach strategies and templates.
• Acts as a "LinkedIn power-up" focused on facilitating human connection, without requiring sign-ups from hiring managers.

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Features & Benefits

NetworkAI aims to make networking less intimidating and more effective:

• Increases the likelihood of securing interviews by fostering warm connections.
• Helps users develop stronger, lasting professional networks.
• Offers thoughtfully designed templates and personalization tools for outreach.
• Includes outreach timing suggestions to maximize impact.
• Removes guesswork and reduces the feeling of isolation in the job search.

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Project Goal

To make the job search less isolating and more human by shifting focus from cold applications to warm connections. NetworkAI empowers job seekers to take control, stand out, and gain a real edge in a competitive market.

Technologies Used

Python Flask HTML CSS JavaScript Bootstrap AI/ML