Ounza Vercel App

Overview

Ounza Vercel App is the portfolio of software engineer Rush Ounza. It organizes work across machine learning, React and Next.js, HTML/CSS/JavaScript, and vanilla JavaScript. The site combines project descriptions, links to notebooks and demos, an About section, and an Activities section covering competitions and community involvement.

Key Projects and Skills

• Machine learning work covering unsupervised anomaly detection on financial data, LSTM stock-price prediction using Kenyan stocks from the Nairobi Securities Exchange, CNN experiments with MNIST, CIFAR, and Plant Village datasets, fake-news classification with Logistic Regression and SVMs, and supervised-learning examples using Iris, Titanic, and Boston datasets.
• React and Next.js projects including a coffee-store finder using Airtable and FourSquare with upvoting, a Stripe-enabled clothing store, a Firebase-backed house marketplace, a Netflix-style video-on-demand app, and a feedback application.
• HTML, CSS, and JavaScript work including an animated portfolio using SVG, GSAP, and ScrollMagic, restaurant and resort sites, a JSON-managed mobile web app, and a mobile-money payment concept.
• Vanilla JavaScript projects including Maze, Hangman, Breakout, and Movie Fight, which compares two movies using the IMDb API.

How to Explore

1. Start from the Home section to see the portfolio focus and introduction.
2. Browse Projects by category to open machine-learning notebooks, case studies, games, and web demos.
3. Read About for the stated interests in data, prediction, automation, React, Next, Node, and JavaScript.
4. Open Activities for information about hackathons, coding challenges, competitions, and technical communities.

Use Cases

• Review a developer portfolio spanning applied machine learning and interactive front-end work.
• Find representative examples of data science notebooks, full-stack web applications, browser games, and JavaScript experiments.
• Explore a software-engineering background that also mentions forensic information technology and cybercrime.

Pricing and Availability

This is a public portfolio and project showcase. No paid product plan is published; it is classified as free under the directory rule. The site links to external notebooks, demos, and repositories, and one project description notes that its Magic authentication is currently unavailable.

Screenshots