This project delivers a modular ERP system tailored for both retail and wholesale businesses, designed with scalability, security, and real-time operational efficiency in mind. It supports features like sales tracking, inventory control, employee management, customer insights, and financial reporting—all built with a service-oriented mindset.

The backend is built with Flask and PostgreSQL, structured into independent services to optimize maintainability. JWT-based authentication secures the APIs, while role-based access control ensures that each user interacts only with authorized data and functions.

The system runs on Google Cloud infrastructure, providing high availability through containerized deployment and scalability via managed services. Pandas powers internal data analysis pipelines, transforming raw sales and inventory figures into actionable insights.

For financial operations, the Paystack API is integrated to handle online transactions securely. Reports are generated using WeasyPrint, allowing users to download structured, styled PDFs for invoices, sales summaries, and inventory audits. Bootstrap and JavaScript enhance the frontend's responsiveness, ensuring usability across devices.

Enterprise ERP System: A modular ERP solution for retail and wholesale businesses, featuring sales tracking, inventory control, employee management, and financial reporting with service-oriented architecture.

This project builds an AI-powered call center using Amazon Connect and Amazon Lex, designed to optimize customer interactions through intelligent automation. By integrating real-time call routing, conversational AI, and personalized responses, it ensures efficient service while maintaining scalability and cost-effectiveness. With advanced workflow logic and secure cloud infrastructure, businesses can enhance customer engagement and streamline operations seamlessly.

I built this system by configuring Amazon Connect to manage inbound calls, selecting DID and Toll-Free numbers for accessibility. To automate interactions, I integrated an Amazon Lex bot, designing intents that allow customers to check balances, request advisors, and navigate services effortlessly. I also developed AWS Lambda functions that pull customer data from DynamoDB, enabling personalized greetings and dynamic call routing. To ensure security, I set up IAM roles, refining access permissions for different components, making the project ready for integrating into professional workplaces.

AI-powered call center using Amazon Connect and Lex, featuring intelligent automation, real-time routing, and personalized customer interactions for efficient service delivery.

MSUnit is an advanced web-based clinical management system designed to streamline stroke patient care. By integrating real-time tracking, intelligent alerts, and seamless communication, it enables healthcare providers to respond swiftly to critical cases. With role-based access control, automated risk assessments, and HIPAA-compliant documentation, MSUnit optimizes workflows, reduces errors, and enhances patient outcomes. This platform is built to bridge technology and compassion, ensuring every second counts in stroke treatment.

I developed MSUnit using Python and Django, providing a scalable and secure backend for clinical data management. MySQL ensures efficient storage and retrieval of patient records, while AWS S3 facilitates seamless document storage for scalability. The system integrates automated risk analysis, real-time monitoring, and secure access protocols, creating a reliable and efficient solution for stroke unit operations.

MSUnit: A web-based clinical management system revolutionizing stroke patient care with real-time tracking, intelligent alerting, and seamless communication for healthcare professionals.

WVS is a powerful yet user-friendly website vulnerability scanner designed to eliminate the confusion around security assessments. Traditional scanners overwhelm users with technical jargon—XSS, CSRF, header injection—without offering clear guidance. WVS changes that by providing plain-language explanations alongside actionable insights, ensuring that anyone, regardless of technical expertise, can understand and address vulnerabilities effectively. With both a command-line interface for developers and a clean web interface for ease of use, WVS is built for students, developers, and startup founders who need security insights they can actually act on.

I developed WVS using Python and Asyncio, ensuring an efficient, non-blocking architecture for rapid vulnerability scans. The Gemini API powers the natural language processing component, translating complex security findings into clear, human-readable explanations. This combination allows WVS to deliver fast, comprehensive scans while maintaining a user-friendly experience. Whether handling security audits or educating users on web vulnerabilities, WVS provides an accessible, actionable approach to web security.

WVS 1.01: A website vulnerability scanner that translates technical jargon into plain language, providing clear, actionable insights for both technical and non-technical users.

Pomodoro Play is a streamlined, distraction-free Chrome extension designed to help students and deep workers regain control over their focus. Unlike phone-based timers that tempt you into endless scrolling, Pomodoro Play keeps your workflow uninterrupted by living directly in your browser. It delivers structured work sprints, timed breaks, and an effortless productivity experience—no need to switch tabs or battle distractions. Whether you're tackling assignments, coding, or studying, this tool ensures that focus stays where it belongs.

I built Pomodoro Play using HTML/CSS and JavaScript and the Chrome API, allowing seamless integration within the browser for an intuitive user experience. JSON handles permissions and persistent data storage, enabling users to customize timers and track their productivity patterns. The extension prioritizes simplicity—no unnecessary clutter, just an efficient Pomodoro timer that keeps users on task. With lightweight architecture and smooth execution, it helps turn focused work into a habit without the distractions of mobile apps or extra steps.

Pomodoro Play: A minimalist Chrome extension that keeps you focused with work sprints and timed breaks, eliminating distractions and helping you maintain productivity.

Words Per Minute is a minimalist CLI tool designed for developers and learners to measure and enhance their typing speed directly within the terminal. With real-time feedback and a distraction-free interface, it helps users refine their accuracy and efficiency without unnecessary features.

I built it using Python and Curses, ensuring smooth text rendering and dynamic interaction within the terminal. The tool offers a clean, responsive experience for tracking progress, making it an ideal companion for coders and typists looking to improve their speed naturally.

CosmicVista is an interactive 3D space simulation built using Three.js, vanilla JavaScript, and CSS. It features a responsive rendering of the Sun, nine planets, meteors, stars, and other celestial components—offering a dynamic and educational view of our solar system. Designed as a hands-on learning tool, this project helps younger students visualize and engage with space in a more immersive way than traditional methods allow. Future expansions aim to simulate real-time cosmic events and deeper space phenomena, making CosmicVista a continuously evolving space learning platform.

CosmicVista: An interactive 3D space simulation offering an immersive educational experience of the solar system, designed to help students visualize and engage with space concepts.

This project is a web application designed to support the community through various church activities and projects. It aims to provide a platform for donations, project updates, and community engagement.

Church Site: A community-focused web application supporting church activities through donations, project updates, and enhanced community engagement.