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Standout projects making waves around the web
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Standout projects

Standout projects

More projects we love that are making waves across the web
Cover image for Dragon Eye: 4K Neural-Link HMI
Dragon Eye: 4K Neural-Link HMI (Rive) Description: High-performance Vehicle HMI with adaptive AI telemetry. Built in Rive using complex Lua scripting, 3 custom Node Scripts, and ViewModel architecture. Features automated structural safety speed-limiters and oxygen-depletion altitude overrides. Engineering meets survival. 🐉🚀 https://vimeo.com/1178627971?share=copy&fl=sv&fe=ci DOCUMENTATION: DRAGON EYE – NEURAL-LINKED HMI SYSTEM Project Overview Dragon Eye is a high-stakes Vehicle Human-Machine Interface (HMI) built entirely within the Rive engine. It simulates a biological-mechanical bridge between a pilot and a dragon-class flight engine. This project represents 80+ hours of architectural engineering, focusing on real-time data flow, safety-critical overrides, and immersive visual feedback. TECHNICAL ARCHITECTURE 1. The Logic Layer (Lua Scripting) The system is powered by a custom-coded backend using 3 Node Scripts and 2 Listener Action Scripts. This setup handles: Asynchronous Telemetry: Real-time calculation of velocity, altitude, and energy consumption. Contextual AI Feed: A "Synaptic Feed" that pushes dynamic messages to the HUD based on the current flight state. 2. ViewModel & Data Flow Utilizing a ViewModel architecture, the project ensures a single source of truth for all UI elements. Range Map Converters: Translate raw user drag-gestures into precise engine-velocity increments. Synchronized State Machine: Ensures seamless transitions between Idle, Cruise, Turbo, and Combat modes. SAFETY-CRITICAL PROTOCOLS (The "Guardian" Logic) To elevate the HMI from a visual tool to a survival system, I implemented two major safety overrides: Automatic Structural Protection (Speed Limiter): The system continuously monitors mechanical stress. If the pilot exceeds the structural safety threshold (550+ units), the Neural Override triggers an immediate, automated deceleration to prevent catastrophic airframe failure. Atmospheric Reclamation (Oxygen Protocol): The AI monitors the rider’s biological vitals. If oxygen levels drop below 15% due to high-altitude flight, the system initiates a forced descent to a "breathable zone" (lower altitude) to prevent pilot hypoxia, overriding manual controls until vitals stabilize. VISUAL & COMBAT SYSTEMS Weaponry Interface: Custom-coded weapon systems featuring synchronized flicker effects and dynamic target-locking scaling. Adaptive HUD: The interface scales and shifts based on G-force simulation, providing a 1:1 responsive experience. Audio-Visual Synergy: Designed to sync with high-tempo, adrenaline-driven soundscapes for maximum pilot immersion. Lead Engineer: Istvan Rac Framework: Rive (Lua / State Machine / ViewModels) Industry: Vehicle HMI / Aerospace Interface Design
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Cover image for Project: ASTRAL-OS // Mission Control
Project: ASTRAL-OS // Mission Control Agent The Problem: Managing a complex sci-fi mission like "Northern Pulse" involves juggling telemetry, resource logs, and life-support status. Doing this manually in Notion is slow and prone to "real-world messiness." The Solution: ASTRAL-OS is a Custom Agent that acts as a calm, onboard intelligence. It transforms raw, chaotic data into structured mission updates, resource reports, and maintenance schedules. Visual Style: "Calm Tech" — a minimalist, atmospheric interface designed to reduce cognitive load for the "Cosmic Gardener" in high-stress environments. Core Workflow: 1. Input: User provides raw mission notes or telemetry data. 2. Process: ASTRAL-OS synthesizes food plans and monitors suit-interface status. 3. Output: A formatted, actionable brief with clear "next steps" for the crew. Repeatability: While built for a sci-fi setting, the logic of ASTRAL-OS can be reused for any complex project management task that requires turning messy status updates into a clear roadmap. https://www.notion.so/agent/32a33c7a24268067910f0092b7fe223e?source=copy_link
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Cover image for 🚀 Aegis Autonomous Agency Suite An
🚀 Aegis Autonomous Agency Suite An AI-powered freelance operating system built with Notion Custom Agents. 🎯 Problem Freelancers and agencies waste hours manually: Reviewing leads Writing proposals Preparing onboarding This leads to inconsistent workflows and lost opportunities. 💡 Solution Aegis automates the entire client pipeline: 🛡 Sentinel — Qualifies incoming leads 🏗 Architect — Generates structured proposals 🤝 Concierge — Prepares onboarding From first inquiry to project kickoff — fully automated. ⚙️ How It Works (End-to-End) Add a new lead in Sales Pipeline Sentinel evaluates and scores the lead Status updated → triggers Architect Architect creates a proposal in Client Portal When marked Active → Concierge prepares onboarding ✨ Key Features Lead scoring with transparent reasoning Automated proposal generation (scope, timeline, budget) Onboarding workflow with email + checklist Structured, reusable system for any freelance workflow ⏱ Saves 3–5 hours per client 🧠 Why This Matters This system is: Reusable across clients and industries Reliable with structured outputs Designed for real-world messy inputs Anyone can duplicate the template, plug in their own workflow, and start instantly. 🔗 Template https://phase-periwinkle-b05.notion.site/Aegis-Autonomous-Agency-Suite-3321a605e379800390f0fbeb3cee5a4a?source=copy_link 🤖 Agents (Submitted to Marketplace – In Review) The Sentinel — (Notion Agent Template Link (https://www.notion.so/agent/3311a605-e379-80e3-8a09-009257c73cf0)) The Architect — (Notion Agent Template Link (https://www.notion.so/agent/3311a605-e379-80cc-84b3-0092972f337c)) The Concierge — (Notion Agent Template Link (https://www.notion.so/agent/3311a605-e379-808a-ae38-009213400e16)) 📢 Social Post https://x.com/patel7088dev/status/2038186344791593326 Built for the Notion x Contra Custom Agent Buildathon.🎥 Demo Video:
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Cover image for Hey everyone, this is my
Hey everyone, this is my submission for the @Rive HMI Challenge: NEURAL ROBOT CONTROL. This project explores a system where a human can remotely operate a maintenance robot inside a radioactive reactor core — an environment too dangerous for direct interaction. The robot acts as a physical extension of the operator. The experience is built as a clear flow: connection → system sync → diagnostics → navigation → scan → operation The AR interface serves as the main point of view, overlaying essential information directly onto the environment. It shows navigation guidance, target location, and system feedback while keeping the view minimal and unobstructed. The robot includes a self-diagnostic HUD for maintenance teams, displaying real-time data such as battery, CPU temperature, mechanical stability, and radiation exposure. It also features a small onboard display that communicates system states like connecting, loading, warnings, errors, and movement direction. The focus of this project is how motion communicates system behavior. Each transition reflects a state change, helping users understand what the robot is doing at any moment. Built using State Machine, Data Binding, and Layout in Rive.
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