Mobile Application
LiveEnables entrepreneurs to evaluate the financial viability of business ideas by computing projected costs, gross profit, and net profit from user-entered revenue and expense estimates, supporting scenario-based analysis.
Portfolio
Mobile apps, web platforms, and backend systems I've designed and shipped across university projects and professional roles.
Mobile Application
LiveEnables entrepreneurs to evaluate the financial viability of business ideas by computing projected costs, gross profit, and net profit from user-entered revenue and expense estimates, supporting scenario-based analysis.
Website
LiveA tours & travel platform promoting safari experiences in Uganda, with dynamic destination discovery, curated package browsing, and API-driven content built for future booking and auth features.
Web Application
LiveA team collaboration for a comprehensive platform streamlining hackathon registration, mentorship coordination, project submissions, judging workflows, and automated event reporting.
Web Application
LiveAn agritech platform connecting farmers to inputs, labour, equipment, training, and markets. Built on the Kibalo model, it delivers practical, low-cost solutions to boost productivity, profitability, and sustainable farming across Uganda.
Web Application
LiveA web platform for the Productivity Acceleration Bureau under Uganda's Science, Technology and Innovation Secretariat, giving visibility to its projects and impact while housing tools such as a talent identification system and a monitoring & evaluation tool for supported innovators.
Mobile Application & Web System
In developmentA health services platform connecting patients — specifically HIV patients — to nearby medical providers, with facility service listings, medication reminders, appointment booking, approvals, and messaging.
Mobile Application
In developmentBuilt for small to medium poultry farmers to simplify monitoring of feeding schedules, egg production, and vaccinations.
Mobile Application
In developmentA university capstone project aiding early diagnosis of liver disease from clinical indicators, using machine learning to improve diagnostic accuracy with a strong focus on data privacy and ease of use.
