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Most property recovery processes are still managed through spreadsheets, emails, paper files, and disconnected systems.
What if banks, valuation firms, legal teams, and recovery officers could work from a single platform?
We're building a next-generation Property Recovery & Asset Management Platform that brings together:
✅ Property Valuation Engine
✅ Legal Case Property Tracking
✅ Bank Recovery Management
✅ Forced Sale Marketplace
✅ Property Due Diligence Tools
✅ AI Market Analytics Dashboard
✅ Smart Document Generation
✅ Mobile Field Inspection App
From property valuation to legal recovery, auction management, and final asset disposal, every step is connected in one digital workflow.
The result:
• Faster recovery cycles
• Better decision-making
• Improved transparency
• Reduced operational costs
• Higher recovery rates
The future of distressed asset management is digital, data-driven, and powered by AI.
#PropTech #DigitalTransformation #AI #Banking #RealEstate #AssetManagement #PropertyValuation #RecoveryManagement #Cambodia #Innovation😍
The network for creativity
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Aura - The World's First Emotion-Adaptive Interface System
Designed with Google Stitch.
As a developer, I've used plenty of AI tools that can generate screens, but I was curious about something different with Stitch:
Could I use it to create an experience-first interface that felt alive rather than just another website?
That question became AURA — an experimental emotion-adaptive interface that transforms its visual environment based on how users want to feel.
Instead of approaching the challenge as a traditional landing page, I wanted to explore a more immersive direction. What if an interface could behave like a living environment? What if changing an emotional state could alter the atmosphere, motion, lighting, color palette, and overall experience?
To test that idea, I designed AURA as a digital experience where users can explore emotional worlds such as Joy, Peace, Wonder, Creativity, Ambition, and Reflection.
How Stitch fit into the workflow
I didn't start with prompts, I started with ideas.
The first step was sketching rough wireframes and visual concepts to establish the structure and flow of the experience. I then created a custom design.md document containing the creative direction, emotional worlds, visual principles, motion goals, typography, color systems, and overall artistic vision for the project.
After importing those references into Stitch, the process became incredibly fluid. The streaming generation experience was one of the most impressive parts of the workflow. Instead of waiting for a final output, I could literally watch the interface take shape directly on the canvas and react to ideas in real time.
Once the foundation was generated, I spent most of my time using in-place AI edits.
I'd select sections, experiment with different visual treatments, adjust atmosphere, refine layouts, introduce new interactions, and push the experience closer to the vision I had in mind without having to restart from scratch.
That iterative loop felt much closer to actual design work than traditional prompting.
Motion was another area where Stitch stood out.
Since the challenge theme was "Build interfaces that feel alive," I focused heavily on creating smooth transitions, hover interactions, atmospheric movement, environmental effects, and immersive visual storytelling.
The result feels less like a conventional website and more like a digital art installation.
New Stitch features I leaned on
📄 Imported custom design.md creative direction document
📄 Imported rough wireframe concepts and visual references
🌊 Streaming generations directly to the canvas
⏩ In-place AI edits using prompts and point-and-click interactions
🎥 Motion-rich interactions, hover states, and immersive transitions
🎨 Rapid visual experimentation and iteration
🚀 Export-ready workflow for deployment
Feedback on Stitch
Most AI workflows involve repeatedly prompting, waiting, evaluating, and starting over. Stitch felt different, The streaming canvas made the process feel much more collaborative and interactive. Watching designs appear in real time created a stronger sense of momentum and made iteration feel natural.
The ability to import references and then refine sections through in-place edits was probably my favorite part of the experience. Rather than constantly rewriting long prompts, I could focus on improving specific parts of the design while preserving everything that was already working.
As someone who enjoys experimenting with interface concepts, that workflow felt significantly closer to how designers and developers naturally think.
One feature I'd love to see expanded further is even more granular visual control directly within the canvas, allowing creators to tweak generated elements while maintaining the speed of the AI workflow.
Overall, Stitch helped shorten the distance between a rough idea and a polished interactive experience.
Live Prototype: https://8d2a7837-aura-living-interface-system.netlify.app/
Link to Stitch: https://stitch.withgoogle.com/projects/6682479894200923414
This is awesome
Some work in progress on new 3d UI I'm working on. Still quite a few elements to create.
Nice work
Every year, I build a design advent calendar to push my creative limits.
Creating an interactive advent calendar has been my personal creative tradition for several years. For my latest iteration, the goal was to evolve this tradition by building an interface that truly feels alive.
I designed and engineered the "Summer Font Advent"—a motion-rich Single Page Application (SPA). Moving away from standard static screens, I built an immersive experience utilizing a continuous looping video background, tactile 3D CSS card reveals, and seamless state transitions without any page reloads.
I wanted to test the limits of modern AI tools to see if they could handle the complex front-end logic of my annual project. The initial workflow started with the visual concept and asset creation in Figma.
When the direct .fig import into Google Stitch couldn't fully parse my custom layout (due to raw files lacking strict design tokens), I had to pivot my strategy. As a designer, real-world workflows require adaptability.
I shifted to a prompt-driven engineering workflow. I used Stitch’s in-place AI edits and conversational prompting to manually orchestrate the experience. By feeding the AI my assets and guiding it step-by-step, I was able to build the HTML-native motion, ensure a fully responsive layout, and map out the complex state logic state-by-state.
The Outcome
Stitch proved to be a powerhouse for prototyping complex state logic and native HTML motion. Orchestrating the interactive states and fluid transitions through conversational prompting felt like magic and completely elevated the project.
To bring the project to the finish line, I used Stitch's export integrations to push the polished, heavy-lifting code into Lovable for the final, pixel-perfect deployment. This project perfectly illustrates my approach to modern design: using AI not to replace the creative process, but to elevate it into a living, tactile interface.
Tools & Tech Stack
Figma (Visual Design & Asset Generation)
Google Stitch (State Logic, Layout & Native HTML Motion)
Lovable (Final Build & Deployment)
Link https://adventbykris.lovable.app
Stitch project https://stitch.withgoogle.com/projects/8912616702499530796
Fantastic work🔥🔥👏👏
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