In addition to my capstone project, I have worked on a variety of other projects during my time at UAT and through personal endeavors. This page highlights those projects, dividing them into academic coursework projects and personal/freelance projects. Each project has contributed to my growth as a developer, allowing me to explore different technologies and real-world problem solving. From AI-powered tools to web integrations and startup prototypes, these projects showcase the breadth of my experience.
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Coursework Projects
- QuickForms AI:
Intelligent Form Processing Tool – QuickForms AI is a project I developed for one of my advanced AI courses. The goal was to streamline the processing of paperwork using machine learning. This web-based application can take scanned or digital forms and automatically extract key information using an AI-driven OCR (Optical Character Recognition) engine. For example, given a handwritten form or a PDF, QuickForms AI identifies fields (like names, dates, signatures) and converts them into structured data. I implemented a custom machine learning model to improve accuracy in recognizing messy handwriting and varied layouts. This project taught me how to integrate AI with user-facing applications: the front-end allowed users to upload documents, and the back-end ran the AI analysis and displayed extracted results. In a business context, a tool like QuickForms AI could save hours by automating data entry. Developing it gave me hands-on experience with data preprocessing, model training, and full-stack integration of an AI service. It also underscored the importance of user feedback – I fine-tuned the system based on testing with sample forms to increase reliability.
- Stripe SMS Notifications:
Real-Time Payment Alerts via SMS – This project was created during a web development course focused on API integrations. The objective was to build a service that sends instant SMS notifications whenever a new payment is processed through Stripe (a popular online payment platform). I developed a small web application that hooks into Stripe’s payment system using webhooks. Whenever a transaction occurs, the webhook triggers a script that composes a concise message (including details like the amount and customer name) and sends it via the Twilio SMS API to predefined phone numbers. This Stripe SMS integration demonstrated how different services can work together – here, fintech and telecommunication. In building it, I wrote server-side logic (in Node.js) to handle the webhook events securely and a client-side dashboard to subscribe/unsubscribe phone numbers for alerts. This project strengthened my understanding of event-driven architecture and secure handling of financial data (I ensured no sensitive payment info was exposed in texts). It’s a practical solution for merchants or freelancers who want immediate text alerts of sales without constantly checking their Stripe dashboard. The successful implementation of Stripe SMS proved my ability to quickly learn and utilize external APIs, as well as emphasize user needs like timely communication and simplicity.
Personal & Freelance Projects
- BlessInHealth:
Health & Wellness Web Platform – BlessInHealth is a passion project I embarked on to fuse technology with wellness coaching. I envisioned it as a platform where users can track their health habits (like exercise, diet, and meditation) while receiving positive affirmations or spiritual “blessings” to encourage a holistic approach to well-being. In this project, I took on both the front-end and back-end development. The site features a clean dashboard where users log daily activities and see metrics of their progress. On the back-end, I implemented a recommendation engine that provides personalized tips – for instance, if a user hasn’t logged meditation recently, the system might suggest a short breathing exercise and share an uplifting quote. While still in development, BlessInHealth has been a great sandbox for me to apply new frameworks and cloud functions. It taught me about designing for user engagement and how subtle elements (like a motivational message at login) can improve user experience. I also gained experience in deploying a web app on a cloud host and ensuring it scales, as I anticipate integrating more features like a community forum or live coach chat in the future.
- Bruh & Co E-Commerce Site:
Online Storefront for a Niche Brand – I had the opportunity to work freelance on an e-commerce website for Bruh & Co, a startup apparel and lifestyle brand with a humorous, youth-oriented vibe. The challenge here was to create a site that not only sells products but also reflects a strong brand personality. I used a combination of HTML/CSS and a Shopify backend (for inventory and payments) to build a custom theme that included playful graphics and a smooth shopping experience. Key features implemented included a product gallery with zoom effects, a simple cart/checkout integration with Stripe, and a mailing list sign-up pop-up to capture visitor emails. I also wrote some custom JavaScript to handle interactive elements like an animated size guide and real-time sales notifications (“X just bought Y!”). This project taught me the importance of responsive design – the site was optimized for mobile since a large chunk of the brand’s audience shops via smartphones. Working on Bruh & Co sharpened my UI/UX skills and ability to collaborate with clients; I iterated on the design based on the brand founders’ feedback. The end result was a professional, lively web store that the client can manage and update easily, and it remains in use as the brand grows.
- CredStat Analytics:
Credit Score Visualization Tool – CredStat is a self-initiated project where I wanted to dive into data visualization and fintech. It’s a tool that allows users to securely input their credit score history and other financial indicators, and then see interactive charts and analytics that make sense of the data. The motivation was that many people find raw credit reports confusing, so this app would present trends (like “Your credit score has increased by 20 points in the last 3 months”) and factors (like credit utilization, payment history impact) in a user-friendly way. I built a prototype using Python for the back-end analysis and D3.js for front-end charts. One of the highlights was implementing an algorithm that reads a user’s credit report data (after upload) and automatically flags key changes or anomalies (for example, a sudden increase in credit card balance) with an explanation of how that might affect the score. This project reinforced my ability to work with data structures and perform analysis, as well as present complex data in an understandable visual format. Although it’s a personal project, I approached it like a product – focusing on data privacy, accuracy of analysis, and compelling visualization. CredStat remains a work in progress, but it’s an example of how I apply my skills beyond class to solve everyday problems.
- Data Science Analyst Blog:
Sharing Knowledge and Projects – Alongside building applications, I’ve maintained a blog called DataScienceAnalyst where I write articles and tutorials about data science, AI, and software development. The blog serves as both a personal learning journal and a way to contribute to the community. I have written posts breaking down complex topics (like an introduction to neural networks, or how to use Python libraries for data visualization) into approachable guides. I also showcase mini-projects – for instance, a sentiment analysis on social media posts, and a step-by-step walkthrough of building a simple web scraper. Setting up this blog involved customizing a static site generator and optimizing for SEO, which gave me insights into web content management. More importantly, the act of teaching through writing deepened my own understanding of these topics. This initiative reflects my belief in continuous learning and sharing – it keeps me updated with the latest in tech and allows potential employers or collaborators to see how I think and solve problems. The blog has modest but growing traffic, and I plan to expand it with video tutorials and open-source code snippets. Through DataScienceAnalyst, I demonstrate communication skills and a passion for technology that extends beyond just coding – it’s about engaging with the tech community and staying curious.
(The projects above represent a mix of academic assignments and self-driven work. Each has a page or repository available upon request for more detailed information, such as code samples or live demos. I am proud of these projects as they collectively illustrate my evolution as a developer – from learning the basics of web integration to architecting complex AI systems. Feel free to contact me if you’re interested in any project in particular or if you have opportunities that align with these areas of expertise.)