TinyML

An interactive AI/ML exploration platform with CNN Explorer, Attention Visualiser, Gradient Descent simulator, and AI Glossary — all running in the browser.

Drag-and-drop blocks to build and train neural networks with TensorFlow.js. Luganda language support built in. No Python or terminal required.

Build traditional machine learning pipelines visually using scikit-learn blocks. Select algorithms, preprocess data, and evaluate models — no code needed.

A web-based TinyML studio covering the full pipeline — data, training, quantization, and export to Arduino-ready .h files. No local setup required.

Train ML models on rover and sensor data and export directly to Arduino. Includes real mission-simulation datasets for Mars, Moon, Venus, and asteroids.

A browser-based Python data analysis environment. Explore, manipulate, and visualize data with Pandas — no local Python installation required.

A mobile-first embedded systems IDE that turns any smartphone into an Arduino programming device, with keywords in Swahili, Yoruba, Hausa and more. Submitted to the Eigen Prize in 2025 and still a work in progress.

The complete learning OS for Africa: 13 integrated apps in one offline-first executable, covering AI, machine learning, data science, web development, science simulations and programming, with no internet required.