WORKSHOP
AI
First AI workshop for local entrepreneurs, newcomers, and small business owners, powered by the belief that technology should be accessible, ethical, and human-centered.We were exploring tools like ChatGPT, Claude, Perplexity, Gemini, and Gamma, not with fear, but with curiosity and confidence.
Health
Cancer apps
To address late cancer detection, this project created an AI-driven pre-diagnosis system for breast, lung, and colon cancers. Using Java EE/SE, AWS RDS, and Tomcat, it achieved 79.43% accuracy empowering physicians with early insights and improving patient care outcomes.
Fender Poster Poster Creation
The guitarist needed promotional visuals for a live show.
We planned a performance shoot to capture key visuals.
Using footage stills, we designed posters with bold text, brand colors, and QR links.
Result: 3 posters distributed across 5 venues, generating 200+ scan interactions.
Marketing
Fine Balance Poster Creation
Fine Balance Brewing launched Brew Tour 2024, a specific, engaging event blending beer, music, and community. With adaptable visuals and clear messaging, it connects authentically with audiences driving measurable impact by November 23, 2024.
Kingston Concierge Marketing Plan
Kingston Concierge faced low engagement and had only 40 repeat clients.
I analyzed competitors and weak ad performance.
I developed a strategy targeting aging households with $200K+ income.
Result: A projected 35% client increase and 2x ad ROI through SEO, referral programs, and mailers.
Virtual Reality apps
(click on next images to see the video)
To address subjective detection of binocular vision issues in children, a team developed an Android app using VR (Google Cardboard) and AR (Vuforia) in Unity. Interactive 3D environments tested depth perception, showing promise for early, tech-driven vision problem identification.
Binocular Issue app
Geometric Figures Learning (Kinder) app
Additional resources came from the Unity Asset Store, launched in November 2010 and containing over 4,400 asset packages. Both projects demonstrate mobile technology's potential in one hand healthcare and other hand, education using VR, emphasizing user interaction and accessibility.
Zapoteco Learning app
AI & VR
To address Zapoteco language endangerment and lack of learning tools, a mobile AR app was developed for children using Unity (C#) and Vuforia. Featuring *alphabet, grammar, and vocabulary *lessons with 3D models and an AR workbook, the app made Zapoteco learning engaging and pronunciation clearer.
Relaxation app
AI & ML
Forecast System to Frost Prevention at sowing
The agricultural sector in Mexico faced a critical situation: frequent and unexpected frosts caused severe crop damage and economic losses. To tackle this, the task was to develop a web application with a Machine Learning model to predict frost risk for selected crops based on specific environmental properties. This involved data analysis to understand the dataset, handle outliers, and analyze data distribution.
ML
Forecast System to Frost Prevention at sowing
Developers built a machine learning model using Python with KNN and SVM for multi-label classification via Binary Relevance and Classifier Chains. Achieving a 95% F1-score with K-fold validation, they deployed a Flask-based web app for user-friendly frost risk forecasting, demonstrating strong model performance.
Google Analytics
Audit & Simbound Simulation Campaign
This Search Engine Optimization Audit report for www.theplantshelf.store evaluates technical, on-site, and off-site SEO. It identifies key audiences, analyzes traffic sources, highlights mobile speed issues, and assesses indexing, tags, and backlinks. The report concludes with targeted recommendations to improve performance, content strategy, and link building effectiveness.
UX
User Experience Teac@SLC
& Welcome Kingston app
Faculty found the SCTL site confusing and hard to navigate. I Improve UX with a new, user-focused layout. Then Conducted interviews, built 2 wireframes, and tested 3 prototypes.
Result: New site reduced clicks-to-resource by 40%, boosted access to key tools by 55%, and improved satisfaction in 18 out of 24 modules.The Welcome to Kingston app lacked clarity for newcomers. Our team redesigned wireframes using user interviews, card sorting, and usability tests. We improved navigation for employment, financial, and immigration info. The redesign boosted task completion by 48% and reduced user frustration by 60% in testing across three key personas.
Education
Expert System to learn Maths
To support diverse sixth-grade math learning, an expert system was built using NetBeans 8.1 and MySQL. Integrating NLP learning styles and multiple intelligences, it features assessments and a rule-based engine, enabling adaptive education across 889 combinations. Testing showed strong potential for personalized instruction.