Morizo Pro

Morizo Pro turns raw racing data into AI-powered real-time insights, predictive models, and immersive VR experiences—helping drivers and teams race smarter and win faster.

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Inspiration

If there is an inspiration behind Morizo Pro 1.0, it is much beyond technology-it is a heartfelt homage to the relentless passion and fearless spirit of Akio Toyoda's racing alter ego, "Morizo." This app has been born from the urge to capture the very essence of what fuels every driver's journey: the burning courage to push beyond limits, the precise mastery honed through sweat and determination, and the unspoken bond between driver and machine. With each second on the track feeling tangible-from the roar of engines to the grip of tires and the rush of wind-Morizo Pro 1.0 turns raw data into a living, breathing companion that empowers drivers and teams to chase greatness. More than an app, this is a tribute to human grit, an invite to feel the pulse of racing, and the beacon that connects the shared heartbeat of racers and fans worldwide, stirring the passion of motorsport in every interaction.

What it does

Morizo Pro 1.0 is a next-generation racing app that converts raw race data into powerful insights and captivating experiences in one place.

Live Telemetry Monitoring: Real-time tracking of critical race metrics, including speed, engine RPM, tire condition, and gap times with dynamic graphs and gauges.

Visualization: Dashboard visuals include live speedometers, tire temperature heat maps, and lap time curves.

AI-Powered Driver Coaching: This provides personalized, data-driven advice on braking zones, racing lines, and driver consistency to help optimize performance.

Visualization: side-by-side video and data comparison of the racing lines-ideal vs actual-with heatmaps.

Predictive Race Modeling: Machine learning provides forecasts on qualification results, race pace, tire wear, and pit stop strategies pre- and intra-race.

Visualization: Interactive charts of predicted lap times and tire degradation overlaid with confidence bands.

Post-Event Analysis: Detailed breakdown of race events including key moments, pit stops, incidents, and strategic decisions presented in an interactive timeline. Visualization: Timeline interface showing lap-by-lap telemetry with video highlights. Real-Time Race Alerts: Receive instantaneous warnings and updates of vital situations, including Pit Stop windows, Tire wear warnings, and other unforeseen situations during racing, to assist in rapid decision-making. Visualization: Alert pop-ups with color-coded significance and summary dashboards. Augmented Reality & Fan Engagement: AR overlays bringing telemetry and race data into live video streams, with AI-driven commentary that deepens fan connection. Visualization: Mobile AR interface depicting live data overlay onto race footage, integrated with social media.

How we built it

Morizo Pro 1.0 was developed by harnessing the extensive Toyota GR Cup Series datasets, rich with telemetry data capturing every nuance of racing performance. We integrated advanced AI models that analyze this data to predict race outcomes and provide actionable driver coaching.

Data Processing: We handled millions of telemetry data points—speed, RPM, lateral forces, braking inputs—using optimized data pipelines that ensure smooth real-time analytics. Visualization: Flow diagram showing raw data ingestion, processing layers, and output analytics.

AI & Machine Learning: Using machine learning algorithms like gradient boosting and clustering, we identified crucial factors like optimal braking, tire wear rates, and racing lines to enhance precision coaching and strategic predictions. Visualization: Model performance charts with feature importance graphs.

Real-Time Streaming: Leveraging cloud-based streaming infrastructure and Google AI Studio, we integrated live video feeds synchronized with telemetry for instant feedback. Bluetooth connects sensor feeds from race cars for live telemetry ingestion. Visualization: Architecture diagram showing data flow from car sensors to cloud AI and user dashboard.

Immersive Technologies: We built VR compatibility and AR overlays to provide immersive race insights and interactive fan engagement, creating a seamless blend of data and experience. Visualization: Screenshots/mocks of AR overlays on live video and VR race environment.

Challenges we ran into

Latency & Volume: Managing high-frequency telemetry data streams (multiple data points per second) required advanced data compression and processing to minimize latency so insights appear instantly without lag. Visualization: Graph comparing latency over different data handling techniques.

Prediction Accuracy & Maintenance: Continuous model tuning was essential for maintaining high prediction accuracy amid varying track and weather conditions. Balancing model complexity with real-time performance was demanding. Visualization: Accuracy trend line over model training iterations.

User Experience Complexity: Designing a UX that presents deep data insights while remaining intuitive was challenging, especially integrating VR and AR elements without overwhelming users. Visualization: Wireframe screens comparing detailed vs simplified dashboard layouts.

Data Variability: Different race tracks and cars produce varied telemetry formats and usage patterns, which required adaptable data ingestion and normalization strategies. Visualization: Table of telemetry file formats and normalization process.

Accomplishments that we're proud of

Live Telemetry Dashboard: We developed a dynamic dashboard that displays critical data — speed, engine RPM, tire wear, and race gap timings — updated live to keep teams informed. Visualization: Real-time dashboard mockup with gauges, heatmaps, and lap time graphs.

AI-Powered Virtual Coach: Our AI delivers personalized feedback on braking points, racing line optimization, and driver fatigue signals, helping drivers improve lap after lap. Visualization: Side-by-side video and telemetry comparison, highlighting coaching recommendations.

Real-Time Alerts & Strategy Engine: Instant notifications and race strategy suggestions provide teams with crucial decision support under pressure. Visualization: Notification pop-ups with color-coded urgency, pit stop countdown timers.

Augmented Reality & AI Commentary: We created engaging AR overlays for live race data and integrated AI-driven commentary to enhance fan immersion and excitement. Visualization: AR interface demonstrating live telemetry overlay on race footage, social media feed integration.

What we learned

Clear AI Insights Drive Performance: Effective presentation of AI-generated insights significantly improves decision-making, driver skill, and team strategies. Visualization: Flowchart showing input data, AI processing, and actionable output.

User Experience is Critical: Presenting rich, complex data without overwhelming users requires balancing detail and simplicity, especially with cutting-edge VR and AR features. Visualization: UX wireframes contrasting detailed and simplified dashboards with user engagement stats.

Cross-Disciplinary Collaboration: Combining expertise in motorsport dynamics, AI, cloud computing, and immersive tech unlocks powerful, user-centric solutions. Visualization: Venn diagram of cross-domain skills contributing to the app.

What's next for Morizo Pro 1.0

Expand VR Race Replays and Social Sharing: Enhancing immersive race experiences and community interaction features. Visualization: VR headset mockup showing race replay, social feed with sharing options.

Support More Racing Series: Extend data integration and AI coaching to other motorsport series beyond Toyota GR Cup. Visualization: Map or timeline illustrating planned race series expansions.

Community Features for Fans and Drivers: Building forums, leaderboards, and collaborative tools to connect the racing ecosystem. Visualization: Mobile app screen with fan chat, driver rankings, and event calendar.

Enhance AI Models with Live Race Feedback: Continuous learning system that updates AI with real race outcomes for improved accuracy and insight. Visualization: Cycle diagram of AI training, feedback input, and updated predictions.

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