I specialize in transforming raw data into meaningful insights, leveraging the power of AI to explore new possibilities, and developing innovative solutions on the blockchain. With a strong focus on solving complex problems, I thrive on creating impactful projects that drive progress and push boundaries. My passion lies in combining cutting-edge technology with creative problem-solving to deliver results that make a real difference.
Projects
COMPUTER VISION APPLICATIONS
InvisiCam is a Streamlit-based web app that detects and blurs faces, people, and framed artwork from real estate listing photos to protect privacy. It uses Ultralytics YOLOv8-seg for segmentation and OpenCV for custom blurring and contour overlays. Users can upload images, adjust blur intensity, and preview or download side-by-side before-and-after comparisons — all in a clean, interactive interface.
COMPUTER VISION APPLICATIONS
The Face Feature Recognition App is a cutting-edge computer vision project developed using Streamlit, GitHub, and OpenCV. This interactive application leverages deep learning models and Haar Cascades to accurately detect human facial features, including faces, eyes, and mouths, within uploaded images. Users can easily adjust the detection sensitivity through a confidence threshold slider and customize the bounding box colors to enhance visual clarity. The app displays both the original and processed images side by side, allowing users to compare results in real-time. Additionally, the app features an intuitive interface that supports downloading the output image with detected features, making it an excellent demonstration of practical computer vision applications. Whether used for educational purposes or as a prototype for more advanced projects, this app exemplifies the power and flexibility of modern computer vision techniques.
Try out the Face Feature Recognition App by visiting the link below. Upload an image, adjust settings, and download the processed result!
SAAS WEB APPLICATION
This project is a fully built software as a service web application that allows user to create meal plans for a healthy lifestyle. In addition the application allows the user to either search a database of over 350,000 recipes via API connection and also have our AI model generate additional recipe ideas. All these recipes can be tailored to dietary restrictions such as allergies or for people with high blood pressure. This application was created for an athletic training company that utilizes artificial intelligence to optimize their clients training. You can test the application out at www.mealmaple.tech.
GENERATIVE AI MOVIES
I used cutting-edge AI tools to create stunning short movie trailers. From generating characters with Midjourney to crafting scripts with ChatGPT, turning images into videos with Pika.art and Kaiber, and editing with Capcut, every step showcases AI’s creative potential. View the trailers below or click here for instructions on how they were made.
Generative Ai Movie
Generative Ai Movie
Generative Ai Movie
Generative Ai Movie
BUSINESS INTELLIGENCE: Tableau & Power Bi Projects
This is a Tableau project where I analyzed data from the video game Zelda: Breath of the Wild. In this project I analyzed the food recipes within the game to determine the best sources that produced the best results. Then I took the findings and created a short movie trailer using several generative AI tools to tell create a narrative where our hero is briefed on the what the best recipes are prior to beginning his journey.
In this project I analyzed different construction rebuild estimates for an residential insurance claim where the estimate numbers where significantly different. This dashboard along with my final report was used by the end-user to have a case dismissed by clearly showing the discrepancies between the estimates. By simplifying hundreds of pages into an easy to read dashboard the attorney was able to demonstrate where the unnecessary cost were included.
In this project we analyzed NFL player data per team over the years to understand the distribution. In addition I tried to uncover which teams, players and positions were penalized the most. This type of data can be used by NFL teams and the NFL to understand how the rule changes affect the game based on which positions have the most penalties and how they impact the outcome of the games.
MEDIUM.COM ARTICLES
RESEARCH NOTES
WEBSITE PROJECTS