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

How It Works

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

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

Web Build Available!

Overview

Forsaken is a souls-like game where the player navigates challenging dungeons, defeating bosses, and finding cool weapons! Built with Unity, the game explores unique gameplay mechanics

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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.
• 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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Development & Role

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

• Wrote modular C# scripts for reusability across different enemies, and player abilities.
• Led & Developed implementation of inventory systems, UI, combat animations, movement mechanics, enemy behaviors, and revival mechanic to better enhance player experience.
• Collaborated with a 4-person team to balance difficulty and create an immersive gameplay loop.

Technologies Used

Unity C#