RubblePass AI
Full-stack cleantech product for construction-material intelligence and circular routing
Executive Architecture Summary
Designed and built a mobile-first cleantech prototype for pre-demolition material assessment, recovery routing and QR-based digital material passports for an Istanbul-focused pilot.
[01 // THE CHALLENGE & PROBLEM SPACE]
Demolition and construction debris in major urban centers like Istanbul lack traceability and structured material classification, leading to excessive landfill waste and inefficient secondary material markets.
[02 // SYSTEM ARCHITECTURE & TOPOLOGY]
Decoupled mobile inspection client communicating with an AI-assisted Python estimation engine and PostgreSQL material-data repository. QR generation service embeds cryptographic hash of material chain-of-custody records.
Technical Implementation & Engineering Approach
Designed and deployed a mobile-first cleantech prototype for pre-demolition material assessment and on-site classification.
Engineered an end-to-end simulation model and material-data structure calculating uncertainty ranges and environmental impact metrics.
Developed an algorithmic matching engine connecting salvaged building fragments to regional buyers and recycling facilities.
Implemented a secure QR-based digital material passport system providing verifiable chain-of-custody records.
[03 // VERIFIED ENGINEERING OUTCOME & IMPACT]
Delivered a complete product architecture, simulation model, business model, and technical roadmap ready for Istanbul pilot deployment.