Built and integrated an online payment management system for church offerings using PHP, MySQL, and the Paystack API. Implemented secure transaction workflows including initialization, verification, webhook handling, and automated receipt generation. Strengthened payment security through SSL/TLS encryption, input validation, and webhook signature verification. Collaborated with church administrators to gather requirements and deliver a clean, user-friendly interface that simplified online donations and improved transaction tracking.

Developed a full-stack health chatbot web application using pure PHP and MySQL to deliver intelligent, AI-driven medical information through a conversational interface. Integrated OpenAI’s RESTful API to enable natural language understanding, implementing secure authentication, error handling, and request optimization. Designed a normalized database schema to manage user profiles, interactions, and conversation history. Built the frontend with HTML, CSS, and JavaScript (AJAX) for real-time communication between users and the AI engine. Applied best security practices, including input validation and prepared statements, reducing API errors and improving system response by 70%.

Developed a machine learning–powered agricultural web application that classifies plant diseases from leaf images using a Convolutional Neural Network (CNN) built with PyTorch. Integrated the model into a Flask-based backend API to handle image uploads and return real-time classification results. Implemented a responsive web interface for users to view disease predictions, check weather conditions via an external API, and receive text-to-speech output using ElevenLabs for accessibility. Utilized SQLAlchemy ORM to manage structured data storage, including user inputs, predictions, and weather data. Led a 3-person development team, coordinated sprints, and contributed to project documentation covering API design and deployment procedures.