Hey everyone, this is my submission for the @Rive HMI Challenge 🚀

Excited to share my Vehicle HMI (Human-Machine Interface) design, focused on a Boat Dashboard UI built using @Rive.

This project explores a modern marine interface that combines real-time data, navigation insights, and smooth interactive animations to create a seamless user experience 🌊

The experience is designed as a clear flow: connection → system sync → navigation → monitoring → alerts → control

The interface highlights key elements like speed, fuel, GPS tracking, weather conditions, and risk indicators — all structured to keep the information clear, minimal, and easy to understand.

A major focus of this project is how motion communicates system behaviour. Each animation reflects a state change, helping users instantly understand what’s happening in the system.

Built using State Machine, Data Binding, and Layout in Rive.

Would love to hear your thoughts 👇

That marine dashboard layout is super clean — using motion to signal state changes instead of alerts is the right call for a cockpit UI

Most teams we work with want to say their product is AI-powered. Few have asked whether their organisation is ready to support that claim. We have observed a recurring pattern where a team commits to building a machine learning system and, after months, discovers that their data isn't clean enough to train on. The infrastructure then fails to reliably serve a model. In such cases, our diagnosis has often concluded that the foundation is the problem. Machine learning readiness is a precondition, and one must begin with a straightforward question - "Do we have the data pipeline, infrastructure and cross-functional alignment to make this sustainable beyond a PoC?" That question is what prompted our first article titled "The Machine Learning Readiness Checklist". We cover everything a team needs, from data and infrastructure to the right kind of team members. All of this must be done before committing serious engineering time and budgets. If you're a founder, engineering lead or a decision maker within your organisation who wants to build things correctly, we encourage you to read the full piece here:

https://www.algorithmic.co/blogs/the-machine-learning-checklist We'll be sharing more each week. Follow along if this is relevant to what you're building.

P.S. This article is from late 2025 but more than ever relevant.

Love the vibe of this!