R
RyhqTech
// our work

Our Projects

A selection of projects we've built for clients and internal use.

🦁
Live

Kabengo Safaris

A comprehensive safari booking and tour management platform built for Kabengo Safaris. Features multilingual support (i18n), dynamic itinerary builders, and a seamless booking experience for customers planning their East African adventures.

Next.jsSpring BootPostgreSQLReacti18n
📊
Live

Kabengo Safaris Management

A full-featured internal management system for Kabengo Safaris staff. Handles itinerary creation, client management, cost estimation, PDF document generation, and multi-user role-based access control.

ReactSpring BootMySQLMUIREST API
⚡
Live

RyhqTech Management System

Our own internal management system with real-time collaboration features powered by Socket.io. Manages project tracking, team assignments, client communications, and business analytics with live dashboards.

ReactExpressPrismaSocket.ioMySQL
🌐
Live

RyhqTech Customer Portal

A real-time customer portal where clients can track their project progress, communicate with the development team, view invoices, and provide feedback. Built with real-time Socket.io for instant updates.

ReactViteTailwindSocket.io
💸
Live

KashFlow

A full-stack personal finance application for tracking income, expenses, transfers, and savings goals. Features multi-account management, budget tracking with progress indicators, detailed financial reports, and a full audit log of every action.

ReactExpressPrismaMySQLVite
📡
Live

RyhqTech Status Page

A real-time status page that monitors all RyhqTech and client services every 60 seconds. Features live updates via Server-Sent Events (SSE), 90-day uptime history, automatic incident creation and resolution, and email/Telegram alerts on downtime.

ReactExpressPrismaSSETailwind
🐔
Live

Fowlpox Disease Forecasting

A full-stack machine learning platform for predicting fowlpox disease outbreaks in poultry farms across Tanzania. Features a Django REST API with JWT authentication, role-based access control, ML model management with versioning, real-time predictions, dataset management, and a React dashboard for visualization and administration.

DjangoReactPythonscikit-learnCatBoostREST API
🌊
Research

PINN River Flow Prediction

A research project applying Physics-Informed Neural Networks (PINNs) to predict river flow patterns. Combines physical laws of fluid dynamics with deep learning to create more accurate and interpretable hydrological models.

DjangoPythonPyTorchPINN

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