reArchifyAi

AI Quick Summary

reArchifyAi streamlines current circular construction workflow by automating 3D circular materials generation using our 2D to 3D ai tool. Through our cloud base database and web platform, users can list circular materials and designers can assess automatically generated circular assets in real time within common 3D software. reArchifyAi also has ai-aided tools to find the best match of circular material to replace 3D components in a design or generate multiple design options using our Reinforcement model. Project DescriptionreArchifyAi's goal is to provide architects, designers, and material sellers an ai-aided software with an innovative Machine Learning approach to generate 3D models from sellers' images and text. reArchifyAi also provides a material search engine on features tailored for architectural designers and different types of circular materials and an ai-aided recommendation/ design generation system within common 3D software to aid designers for maximizing the use of circular building materials.#MaterialSearchEngine #ComputationalTools #Ai-RecommendationSystem #SeamlessConnectionto3Dsoftware #RemapBuilt upon a database of circular materials with features tailored for architectural designers and different types of circular materials, We're establishing a connection between common 3D software and our cloud-based database. This link ensures designers can access the most up-to-date list of available 3D circular materials with features tailored for designing with reuse. Based on different search criteria, Users can refine their search with filters such as material properties, distance, price, and product condition to find the best alternative of circular materials to replace different building components in their 3D design. reArchifyAi’s software also has the ability to generate various facade options based on the search query using our Reinforcement Learning Model and hence can help designers establish a faster workflow of designing with reclaimed material and help enlarge the design space and variety of design tools through our recommendations system.#Ai-Aided 2D to 3D conversion #Computer Vision #NLP Moreover, many local material providers from major second hand materials platforms have limited knowledge/skills to provide 3d models. Such a process often requires additional workforce and is time consuming and tedious. reArchifyAi propose a 2D to 3D generation method using NLP techniques and computer vision in which the input photos and text-prompt of circular materials could automatically generate 3D models which then is stored in our database the moment user lists their material data and then could be accessed immediately within 3D software such as rhino and CAD.Our TeamOur team consists of a diverse group of specialists in architecture, design, software development, machine learning and computational design from ETH Zürich. We are uniquely positioned to tackle challenges emerging from digitalization of the circular construction field. Our team includes:Jan Law (Project Idea Proposer/ Software Developer / Designer)Master thesis Student from Digital Fabrication Programme ETHZProposal idea Initiator who came up with this project as part of his Thesis and also the software developer for the proposed idea, Jan’s specialty and contribution in the project includes developing the front-end, back-end, API design, database and Computer vision model required for the software.Kevin Change (Project Idea Proposer/ Software Developer / Designer)Master thesis Student from Digital Fabrication Programme ETHZProposal idea Initiator who came up with this project as part of his Thesis and also the software developer for the proposed idea. Kevin’s specialty and contribution in the project includes developing data engineering, building connection between common architectural softwares to our database and BIM, computational design methods investigation using reinforced learning models.Beril Önalan (Main Advisor)Phd Candidate from the Chair of circular Engineering As the Advisor for the proposal, Beril is in Charge of giving feedback, technical and logistic support as well as construction knowledge in the circular construction practice and offering research directions including updates of current context in the circular construction fields to Jan and Kevin.Catherine De Wolf (Assistant Professor at ETHZ/ Supervisor)Assistant Professor at ETHZ chair of Circular Engineering in ArchitectureBeneficiaries:The direct beneficiaries of our solution are architects, building engineers, professionals etc.. in the AEC industries. By having easy access to a database of reclaimed materials and ai-aided design, designers can seamlessly incorporate these materials into their projects, promoting eco-friendly design and reducing costs. General Material Sellers can also be benefited as 3D model could be automatically generated through our artificial intellegence. Indirectly, the planet benefits through reduced waste, decreased demand for new raw materials, and a significant reduction in CO2 emissions.Environmental Impact:Our initiative directly contributes to material reduction, promoting the reuse of facade elements and other construction materials and incorporating them in the early design phrases. By reducing the demand for new raw materials, we decrease the associated carbon created by the extraction and processing of materials.Innovation and Testing:While the idea of using reclaimed materials in design is not new, our methodology targets the existing gap currently in designing with reuse, namely, the lack of 3D data, the lack of friendly and useful search engines for designers on circular materials and the lack of design aiding tools for circular designs. We are pioneering the integration of a comprehensive reclaimed materials database within architectural software such as Rhino, CAD and Grasshopper. This approach has not been previously tested, making our endeavor both innovative and necessary.Booster Program GoalsWe aim to attract the third party funding through collaborations with engineering firms and architectural firms. From which, we could also understand more as to how to further tune and improve the software.Throughout the booster program, our focus will be on:Expanding our connection and knowledge in the Swiss scene of circular construction or government officials working in digitalisation and circular building.Expanding our knowledge through experts in computer vision, construction of circular materials and database management experts.Our final software will be sent to architectural schools and offices within Europe for test-running, in which we hope to gather a small amount of membership fee as a token of supporting the cause.Furthering our own education in topics on Machine Learning,3D data management.

Project Idea Metadata

Project Idea Name: reArchifyAi
Date: 9/4/2023 8:58:47 AM
Administrators:
- Ian Law

Project Idea Description

Project Description

reArchifyAi's goal is to provide architects, designers, and material sellers an ai-aided software with an innovative Machine Learning approach to generate 3D models from sellers' images and text. reArchifyAi also provides a material search engine on features tailored for architectural designers and different types of circular materials and an ai-aided recommendation/ design generation system within common 3D software to aid designers for maximizing the use of circular building materials.

#MaterialSearchEngine #ComputationalTools #Ai-RecommendationSystem #SeamlessConnectionto3Dsoftware #Remap

Built upon a database of circular materials with features tailored for architectural designers and different types of circular materials, We're establishing a connection between common 3D software and our cloud-based database. This link ensures designers can access the most up-to-date list of available 3D circular materials with features tailored for designing with reuse. Based on different search criteria, Users can refine their search with filters such as material properties, distance, price, and product condition to find the best alternative of circular materials to replace different building components in their 3D design. reArchifyAi’s software also has the ability to generate various facade options based on the search query using our Reinforcement Learning Model and hence can help designers establish a faster workflow of designing with reclaimed material and help enlarge the design space and variety of design tools through our recommendations system.

#Ai-Aided 2D to 3D conversion #Computer Vision #NLP

Moreover, many local material providers from major second hand materials platforms have limited knowledge/skills to provide 3d models. Such a process often requires additional workforce and is time consuming and tedious. reArchifyAi propose a 2D to 3D generation method using NLP techniques and computer vision in which the input photos and text-prompt of circular materials could automatically generate 3D models which then is stored in our database the moment user lists their material data and then could be accessed immediately within 3D software such as rhino and CAD.

Our Team

Our team consists of a diverse group of specialists in architecture, design, software development, machine learning and computational design from ETH Zürich. We are uniquely positioned to tackle challenges emerging from digitalization of the circular construction field.

Our team includes:

Jan Law (Project Idea Proposer/ Software Developer / Designer)

Master thesis Student from Digital Fabrication Programme ETHZ

Proposal idea Initiator who came up with this project as part of his Thesis and also the software developer for the proposed idea, Jan’s specialty and contribution in the project includes developing the front-end, back-end, API design, database and Computer vision model required for the software.

Kevin Change (Project Idea Proposer/ Software Developer / Designer)

Master thesis Student from Digital Fabrication Programme ETHZ

Proposal idea Initiator who came up with this project as part of his Thesis and also the software developer for the proposed idea. Kevin’s specialty and contribution in the project includes developing data engineering, building connection between common architectural softwares to our database and BIM, computational design methods investigation using reinforced learning models.

Beril Önalan (Main Advisor)

Phd Candidate from the Chair of circular Engineering

As the Advisor for the proposal, Beril is in Charge of giving feedback, technical and logistic support as well as construction knowledge in the circular construction practice and offering research directions including updates of current context in the circular construction fields to Jan and Kevin.

Catherine De Wolf (Assistant Professor at ETHZ/ Supervisor)

Assistant Professor at ETHZ chair of Circular Engineering in Architecture

Beneficiaries:

The direct beneficiaries of our solution are architects, building engineers, professionals etc.. in the AEC industries. By having easy access to a database of reclaimed materials and ai-aided design, designers can seamlessly incorporate these materials into their projects, promoting eco-friendly design and reducing costs. General Material Sellers can also be benefited as 3D model could be automatically generated through our artificial intellegence. Indirectly, the planet benefits through reduced waste, decreased demand for new raw materials, and a significant reduction in CO2 emissions.

Environmental Impact:

Our initiative directly contributes to material reduction, promoting the reuse of facade elements and other construction materials and incorporating them in the early design phrases. By reducing the demand for new raw materials, we decrease the associated carbon created by the extraction and processing of materials.

Innovation and Testing:

While the idea of using reclaimed materials in design is not new, our methodology targets the existing gap currently in designing with reuse, namely, the lack of 3D data, the lack of friendly and useful search engines for designers on circular materials and the lack of design aiding tools for circular designs. We are pioneering the integration of a comprehensive reclaimed materials database within architectural software such as Rhino, CAD and Grasshopper. This approach has not been previously tested, making our endeavor both innovative and necessary.

Booster Program Goals

We aim to attract the third party funding through collaborations with engineering firms and architectural firms. From which, we could also understand more as to how to further tune and improve the software.

Throughout the booster program, our focus will be on:

Expanding our connection and knowledge in the Swiss scene of circular construction or government officials working in digitalisation and circular building.
Expanding our knowledge through experts in computer vision, construction of circular materials and database management experts.
Our final software will be sent to architectural schools and offices within Europe for test-running, in which we hope to gather a small amount of membership fee as a token of supporting the cause.
Furthering our own education in topics on Machine Learning,3D data management.