Kenneth Mlole

Bazirio is a live retail e-commerce marketplace built specifically for the Tanzanian market, offering clothes, fragrances, and accessories. It is a fully functional production platform with real users and seller partnerships.

The platform features a multi-image product gallery, full cart and checkout system, seller account management, and a real-time order tracking dashboard. A WhatsApp integration allows sellers to receive direct order notifications and communicate with buyers instantly.

The entire backend is powered by Laravel with a MySQL database, while the frontend uses vanilla JavaScript for dynamic interactions and a responsive mobile-first CSS layout. The platform handles concurrent users, large product catalogs, and real-time inventory updates.

Key achievements: onboarded multiple sellers, reached 1,000+ registered users, and processes daily transactions with zero downtime since launch.

A chatbot-driven AI editor that allows creators to edit images and videos using natural language commands. The editor understands user intent and applies intelligent transformations including background removal, object detection, and scene manipulation.

Built with Python and Flask for the backend API, integrating OpenCV for image processing pipelines and YOLO (You Only Look Once) for real-time object detection and segmentation. Users interact through a conversational interface — typing commands like "remove the background" or "blur the person on the left".

The system handles automated batch workflows for content creators, reducing editing time significantly. YOLO-based detection ensures precision when working with multiple objects in a frame.

Key capabilities include real-time background removal, multi-object segmentation, colour grading via text prompts, and support for both static images and video frames — all without needing manual selection tools.

An AI-powered financial management platform designed for SMEs (Small and Medium-sized Enterprises). The app helps businesses track expenses, forecast budgets, and generate intelligent financial reports automatically.

The platform uses machine learning algorithms to analyse spending patterns and provide proactive budget warnings. Chart.js powers interactive visualisation dashboards showing cash flow trends, category breakdowns, and predictive analytics.

The Laravel backend handles multi-tenant data isolation, secure authentication, and automated report generation. AI-driven insights surface in real time as users log transactions, helping business owners make data-informed financial decisions without needing an accountant.