Best AI tools for< Construction Expert >

HomeHelper is an AI-powered platform that serves as your personal in-home construction expert. Whether you are a DIY enthusiast or a first-time homeowner, HomeHelper's AI assistant, LEO, can provide insights, guidance, and step-by-step instructions for your home improvement projects. The platform offers limitless understanding of your home, personalized project consultations, and a unique Home Journal feature to track your progress. HomeHelper aims to empower users with knowledge and assistance to tackle home projects effectively.

HomeHelper is an AI-powered platform designed to assist users with home improvement projects. It offers personalized guidance, project cost estimation, step-by-step instructions, and expert advice through its AI assistant, LEO. Users can track their home improvement journey, receive project consultations, and access a wealth of home improvement information. HomeHelper aims to empower users with knowledge and support to tackle DIY projects with confidence.

ChatWorks is an AI application that offers tailored AI solutions and expert AI consultancy to elevate businesses to the next level. It provides advanced technology and customized strategies to solve unique challenges. The application automates various processes such as email automation, data analysis, caption generation, and task management, catering to different industries like social media, customer service, construction, and more.

InQI.AI is an AI design software that offers smart design solutions for modern architects and builders. It leverages data at the core of architecture and construction excellence, reimagining design and construction through data. InQI.AI provides streamlined site planning and enhanced collaboration for designers, architects, home & ADU builders, pool builders, and land developers. With features like AI-generated site plans, high-resolution aerial imagery, and tools for designing ADUs, pools, and more, InQI.AI aims to empower professionals in the industry with precision and creativity. The platform offers three editions tailored to different needs, crafted by industry experts to provide comprehensive solutions for architecture and construction projects.

AIM is an AI application that transforms existing heavy equipment into an autonomous fleet, enhancing safety and productivity in mining and construction operations. The AIM Technology Platform offers a plug-and-play solution for various heavy equipment fleets, enabling partners to transition to autonomous operation seamlessly. With real-time KPI data delivery and rigorous safety measures, AIM ensures maximally safe and efficient operations, with ground staff out of harm's way. The application is developed by a team with expertise in heavy industries, robotics, and advanced AI, ensuring cutting-edge solutions for the industry.

Pulan is a comprehensive platform designed to assist in collecting, curating, annotating, and evaluating data points for various AI initiatives. It offers services in Natural Language Processing, Data Annotation, and Computer Vision across multiple industries such as Agriculture, Medical, Life Sciences, Government, Automotive, Insurance & Finance, Logistics, Software & Internet, Manufacturing, Retail, Construction, Energy, and Food & Beverage. Pulan provides a one-stop destination for reliable data collection and curation by industry experts, with a vast inventory of millions of datasets available for licensing at a fraction of the cost of creating the data oneself.

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Deep Space AI is an innovative platform that revolutionizes the construction industry by providing intelligent solutions for design and construction workflows. The platform offers collaborative data management, actionable insights, and coordination tools to streamline construction processes and improve operational efficiency. Deep Space AI enhances transparency, boosts productivity, and empowers teams to make informed decisions throughout all project phases. Trusted by leading teams in the design and construction industry, Deep Space AI is a game-changer in the AECO sector.

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Constructable is a team-first construction management tool designed for modern construction teams. It empowers commercial construction teams to focus on building amazing projects by providing high performance features across devices. Constructable offers effortless collaboration, intuitive design, and AI-powered search capabilities to enhance team productivity and decision-making. The application includes tools for drawings, photos, AI search, daily logs, punch lists, RFIs, submittals, and financial management. With simple pricing and enterprise-ready security, Constructable ensures a seamless user experience and efficient project management.

Animant is an interactive AR tool that allows users to create engaging 3D scenes, conduct 3D scanning, and capture rooms. It leverages AI to enable users to build interactive 3D scenes using natural language, without the need for 3D animation knowledge. Animant is designed for AR experiences, enabling users to visualize 3D models in their real-world environment. The tool offers features like Object Capture, Room Capture, SharePlay for collaboration, and innovative 3D path construction. It prioritizes user privacy by not collecting personally identifiable information and supports offline rendering for creative flexibility.

Samsara is a leading provider of Connected Operations™ technology that connects people, systems, and data to give businesses visibility into every area of their operations. Samsara's platform includes a suite of products that help businesses improve safety, efficiency, and sustainability. Samsara's AI-powered video safety solutions provide real-time visibility into fleet operations, helping businesses to prevent accidents and protect their workforce. Samsara's fleet management solutions provide performance insights, asset protection, and live tracking for improved fleet productivity. Samsara's apps and workflows solutions provide customized driver experiences, real-time dispatch data, and streamlined ELD compliance. Samsara's site visibility solutions provide remote visibility, proactive alerting, and on-the-go access to data from remote sites.

Tom's Planner is an online Gantt chart maker that offers an easy, quick, and effortless way to create custom Gantt charts for project planning. With a focus on simplicity, efficiency, and collaboration, Tom's Planner is designed to be user-friendly for both novices and experienced project managers. The application combines drag-and-drop functionality, flexible progress tracking, dynamic project overviews, easy-to-use dependencies, and quick filter & search options to streamline project management. With over 200+ templates and an AI Assist feature, users can create, customize, and share Gantt charts for various industries and project types.

Skillroads is a trusted AI resume maker that empowers users in their job search process. The platform offers a range of services including resume writing, editing, LinkedIn profile makeover, AI resume checker, and career tips. Skillroads leverages Artificial Intelligence to create tailored resumes, cover letters, and job matches for users. The application simplifies the job application process by providing personalized job openings from top companies and career development plans. Users can access various career services, including resume creation, cover letter writing, and interview help, to enhance their job search experience.

SCALZ.AI is a cutting-edge AI-driven digital marketing and consulting platform that empowers businesses with advanced AI technologies to enhance online visibility, boost search engine rankings, and drive superior digital marketing strategies. Specializing in sectors like addiction treatment, healthcare, construction, and real estate, SCALZ.AI offers tailored solutions through detailed keyword research, competitive analysis, predictive AI trend spotting, SEO-optimized content creation, PPC and social media marketing, and more. The platform aims to transform businesses through customized AI-driven consulting services, market research, brand strategy development, digital transformation consulting, customer experience strategy, and sales funnel optimization.

Head Energy is an independent engineering company that delivers projects, consultancy, products, and services primarily in the energy and construction sectors. They aim to promote sustainable solutions and make a positive impact by providing innovative engineering solutions for more efficient energy production, lower emissions, and improved infrastructure. With a focus on being a leading employer offering professional development, flexibility, and high expectations, Head Energy operates as a unique engineering group positioned in both the energy and construction industries.

Keylabs is a state-of-the-art data annotation platform that enhances AI projects with highly precise data annotation and innovative tools. It offers image and video annotation, labeling, and ML-assisted features for industries such as automotive, aerial, agriculture, robotics, manufacturing, waste management, medical, healthcare, retail, fashion, sports, security, livestock, construction, and logistics. Keylabs provides advanced annotation tools, built-in machine learning, efficient operation management, and extra high performance to boost the preparation of visual data for machine learning. The platform ensures transparency in pricing with no hidden fees and offers a free trial for users to experience its capabilities.

FuriosaAI is an AI application that offers Hardware RNGD for LLM and Multimodality, as well as WARBOY for Computer Vision. It provides a comprehensive developer experience through the Furiosa SDK, Model Zoo, and Dev Support. The application focuses on efficient AI inference, high-performance LLM and multimodal deployment capabilities, and sustainable mass adoption of AI. FuriosaAI features the Tensor Contraction Processor architecture, software for streamlined LLM deployment, and a robust ecosystem support. It aims to deliver powerful and efficient deep learning acceleration while ensuring future-proof programmability and efficiency.

GradeWrite.AI is an AI-powered tool designed to assist educators in grading essays and assignments efficiently. It offers features such as bulk grading, auto-checkers, AI re-grades, custom rubrics, and personalized writing feedback. The tool streamlines the grading process, saves time, and provides constructive guidance to enhance students' learning experience.

The website is currently under construction and is a protected page. Users visiting the site may encounter a message stating that the page is under construction and apologizing for any inconvenience caused. It seems that the website is not fully operational at the moment and is likely undergoing updates or maintenance.

KAG is a logical reasoning and Q&A framework based on the OpenSPG engine and large language models. It is used to build logical reasoning and Q&A solutions for vertical domain knowledge bases. KAG supports logical reasoning, multi-hop fact Q&A, and integrates knowledge and chunk mutual indexing structure, conceptual semantic reasoning, schema-constrained knowledge construction, and logical form-guided hybrid reasoning and retrieval. The framework includes kg-builder for knowledge representation and kg-solver for logical symbol-guided hybrid solving and reasoning engine. KAG aims to enhance LLM service framework in professional domains by integrating logical and factual characteristics of KGs.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on multi-agent collaborative patterns, integrating domain experience to help agents solve problems in various fields. The framework includes pattern components like PEER and DOE for event interpretation, industry analysis, and financial report generation. It offers features for agent construction, multi-agent collaboration, and domain expertise integration, aiming to create intelligent applications with professional know-how.

KWeaver is an open-source cognitive intelligence development framework that provides data scientists, application developers, and domain experts with the ability for rapid development, comprehensive openness, and high-performance knowledge network generation and cognitive intelligence large model framework. It offers features such as automated and visual knowledge graph construction, visualization and analysis of knowledge graph data, knowledge graph integration, knowledge graph resource management, large model prompt engineering and debugging, and visual configuration for large model access.

This repository presents a (semi-)automatic pipeline for Ontology and Knowledge Graph Construction using Large Language Models (LLMs) such as Mixtral 8x22B Instruct v0.1, GPT-4o, GPT-3.5, and Gemini. It explores the generation of Knowledge Graphs by formulating competency questions, developing ontologies, constructing KGs, and evaluating the results with minimal human involvement. The project showcases the creation of a KG on deep learning methodologies from scholarly publications. It includes components for data preprocessing, prompts for LLMs, datasets, and results from the selected LLMs.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on collaborative pattern components to solve problems in various fields and integrates domain experience. The framework supports LLM model integration and offers various pattern components like PEER and DOE. Users can easily configure models and set up agents for tasks. agentUniverse aims to assist developers and enterprises in constructing domain-expert-level intelligent agents for seamless collaboration.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository provides a Python implementation of a method that leverages pre-trained large language models to construct and utilize world models for model-based task planning. It includes scripts to generate domain models using natural language descriptions, correct domain models based on feedback, and support plan generation for tasks in different domains. The code has been refactored for better readability and includes tools for validating PDDL syntax and handling corrective feedback.

agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

Shed construction expert focusing on budget, materials, and foundations in swampy areas, with a touch of humor.

Construction machinery expert, developed on OpenAI

A construction safety expert providing OSHA-cited advice

Expert in construction project management and document analysis.

Expert in building trades, providing informative insights on construction.

Friendly expert in net zero carbon strategies and advice for the construction industry.

Expert in building construction, design, and architecture.

A 3D Printed Construction wiz trained on expert interviews. Use creatively, don't depend on 3DCP Guru GPT for factually accurate info (although it's pretty darn good)

Expert software architect with experience in design, construction, development, testing and deployment of Web, Mobile and Standalone software architectures

Premier expert in engineering, architecture, design, construction, and project management, powered by OpenAI

A knowledgeable guide on KBT Waterproofing Type 5 Eliminator bridge membrane.

Your expert on NEXCO Nagayoshi project.

State-of-the-art AI for comprehensive guidance in fittings, plumbing, and related systems. Powered by OpenAI

As "Throw a Wrench in Your Plans GPT", I provide expert guidance on skilled trades and AI adoption, inspired by TWYP Media

Expert in Greater Bay Area cost estimations

Your expert guide for all things EUC, with a focus on battery safety, maintenance, and protective gear.

Your expert guide to the intricate world of Swiss architecture, blending sustainability with innovation.

Expert on Personal Protective Equipment

Natural stone expert GPT, powered by OpenAI, with advanced capabilities.

Expert on showers, offering advice on types, accessories, and hygiene.