Best AI tools for< construction accountant >

Swipe is an AI-powered spend management platform designed specifically for the construction industry. It offers a range of features to help contractors save time and money, including project-specific budgets, automated workflows, and AI-powered analytics and forecasting. Swipe integrates with leading construction software and allows users to manage their spending before it happens.

Spreadsheet.com is an online spreadsheet that allows users to build no-code solutions for project management, CRM, and other tasks. It offers features such as sheet views, Gantt charts, Kanban boards, form views, calendar views, attachments, related rows, charts, reports, dashboards, automations, integrations, and Spreadsheet AI. Spreadsheet.com also provides a variety of templates for specific use cases, such as project management, sales and CRM, product development, finance and accounting, lists and checklists, HR and recruiting, small business, personal, team collaboration, marketing, IT and support, construction, education, real estate, startups, and nonprofits.

viAct.ai is an AI-powered construction management software and application that utilizes computer vision and video analytics for workplace safety. The platform offers scenario-based AI vision technology to simplify monitoring processes, automate construction management, and enhance safety measures on job sites. viAct.ai has been recognized as a technology pioneer by the World Economic Forum and Forbes Asia, and has received several awards for its innovative approach to construction safety and monitoring.

AI Clearing is an AI-powered construction progress monitoring tool that specializes in digital field construction progress tracking. The platform leverages machine learning technology to provide comprehensive 3D site reports, advanced 4D geospatial analytics, and interactive online dashboards for efficient progress monitoring. AI Clearing offers benefits such as shortened reporting cycles, faster results, lower construction supervision costs, early discrepancies detection, facilitated communication, and improved operations planning. The tool is designed to integrate seamlessly with existing systems and has been recognized as a top solution in the construction industry.

HomeHelper is an AI-powered platform that provides homeowners with personalized guidance and support for their home improvement projects. With its proprietary AI technology, HomeHelper's virtual assistant, LEO, offers a comprehensive knowledge base, step-by-step instructions, and personalized recommendations to help users make informed decisions and complete projects successfully. HomeHelper also features a Home Journal tool that allows users to track their progress, share their journey, and receive personalized tips from LEO.

HomeHelper is an AI-powered platform that provides homeowners with personalized guidance and support for their home improvement projects. With its AI assistant, LEO, HomeHelper offers a comprehensive knowledge base, project tracking tools, and access to local contractors. HomeHelper empowers homeowners to make informed decisions, tackle DIY projects with confidence, and connect with professionals for larger-scale renovations.

Buildlean AI is a cloud-based construction management software that helps contractors manage their projects more efficiently. It provides a central platform for managing all aspects of a construction project, from planning and scheduling to tracking progress and managing finances. Buildlean AI uses artificial intelligence to automate many of the tasks that are typically done manually, such as scheduling and resource allocation. This can save contractors time and money, and it can also help to improve the accuracy and efficiency of their projects.

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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.

OpenSpace is a reality capture and construction site capture application that utilizes AI-powered analytics for builders, from preconstruction to operations. It offers features such as field notes, mobile app, BIM Compare, Split View, and integrations with project management software. OpenSpace provides a complete, as-built record of buildings, helps users stay on top of progress, verify work-in-place, improve coordination, and reduce risk. It has been trusted by industry leaders globally, with billions of square feet captured and thousands of projects completed.

Opteam is an AI-powered platform that provides solutions for construction planning and asset renewal. It helps construction companies accelerate project timelines, maximize asset lifespan, and improve decision-making through the use of AI. Opteam's solutions are designed to be industry-specific, efficient, and tailored to the needs of construction professionals.

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.

Sanctuary Cognitive Systems Corporation is a company that develops and manufactures general-purpose robots. Their flagship product, Phoenix™, is the world's first humanoid general-purpose robot powered by Carbon™, their pioneering AI control system. Phoenix™ is designed for work and is the only general-purpose robot featured in TIME's Best Inventions 2023. Sanctuary's robots are remotely piloted or supervised by people and are designed to both train and work alongside them. When instructed to do so, their robots will use their own built-in autonomous control system to observe, assess, and act on tasks in an efficient and prosperous manner.

Constructable is an AI-powered co-pilot for construction projects. It helps project managers and other construction professionals to quickly and easily find the information they need to keep their projects on track. Constructable integrates with all of your existing software systems, so you can avoid time-consuming and error-prone migrations. It also makes your data traceable back to the original source, so you can be confident that the information you're using is accurate and up-to-date.

SWMS AI is an AI-powered safety risk assessment tool that helps businesses streamline compliance and improve safety. It leverages a vast knowledge base of occupational safety resources, codes of practice, risk assessments, and safety documents to generate risk assessments tailored specifically to a project, trade, and industry. SWMS AI can be customized to a company's policies to align its AI's document generation capabilities with proprietary safety standards and requirements.

AeroMegh is a SaaS platform that provides end-to-end drone data analytics solutions. It offers a range of services, including drone mission planning, data processing, and analysis. AeroMegh's platform is designed to be simple and easy to use, and it can be used by businesses of all sizes. AeroMegh's platform is also secure, and it ensures that data is protected throughout the entire process.

Maintain-AI is an automated pavement assessment tool that uses artificial intelligence to identify and classify pavement defects. The tool is designed to help road maintenance crews identify and prioritize repairs, and to track the condition of pavements over time. Maintain-AI can be used on any type of pavement, and it can be used to assess both large and small areas.

UpCodes is a comprehensive platform that accelerates delivery from design to construction. It provides access to building codes, assemblies, and building products, making it a valuable resource for architects, engineers, contractors, and building owners. UpCodes helps users stay up-to-date on the latest building codes and standards, and it provides tools for designing and constructing buildings that meet code requirements.

Aiternus is an AI Computer Vision and Data Analysis System that is revolutionizing industries with cutting-edge technology. It offers advanced solutions for various sectors such as manufacturing, construction, logistics, healthcare, retail, sports tech, electronics, and office spaces. Aiternus leverages AI to streamline processes, boost productivity, enhance safety and quality standards, and develop tailor-made solutions for clients' unique needs. The application provides features like work process monitoring, route optimization, AI chatbot support, demand predictions, quality control, performance analysis, and automation of tasks in office spaces.

Polycam is a 3D scanning app that allows users to create 3D models of objects using their mobile devices, DSLR cameras, or drones. The app is easy to use and can be used by anyone, regardless of their experience level. Polycam is used by professionals in a variety of industries, including architecture, engineering, construction, and manufacturing. The app is also popular with hobbyists and artists who use it to create 3D models for 3D printing, video games, and other creative projects.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

The Octopus-v4 project aims to build the world's largest graph of language models, integrating specialized models and training Octopus models to connect nodes efficiently. The project focuses on identifying, training, and connecting specialized models. The repository includes scripts for running the Octopus v4 model, methods for managing the graph, training code for specialized models, and inference code. Environment setup instructions are provided for Linux with NVIDIA GPU. The Octopus v4 model helps users find suitable models for tasks and reformats queries for effective processing. The project leverages Language Large Models for various domains and provides benchmark results. Users are encouraged to train and add specialized models following recommended procedures.

A curated list of Generative AI projects, tools, artworks, and models

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

DAMO-ConvAI is the official repository for Alibaba DAMO Conversational AI. It contains the codebase for various conversational AI models and tools developed by Alibaba Research. These models and tools cover a wide range of tasks, including natural language understanding, natural language generation, dialogue management, and knowledge graph construction. DAMO-ConvAI is released under the MIT license and is available for use by researchers and developers in the field of conversational AI.

OpenSPG is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. It provides explicit semantic representations, logical rule definitions, operator frameworks (construction, inference), and other capabilities for domain knowledge graphs. OpenSPG supports pluggable adaptation of basic engines and algorithmic services by various vendors to build customized solutions.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

AIBotPublic is an open-source version of AIBotPro, a comprehensive AI tool that provides various features such as knowledge base construction, AI drawing, API hosting, and more. It supports custom plugins and parallel processing of multiple files. The tool is built using bootstrap4 for the frontend, .NET6.0 for the backend, and utilizes technologies like SqlServer, Redis, and Milvus for database and vector database functionalities. It integrates third-party dependencies like Baidu AI OCR, Milvus C# SDK, Google Search, and more to enhance its capabilities.

The 'meet-libai' project aims to promote and popularize the cultural heritage of the Chinese poet Li Bai by constructing a knowledge graph of Li Bai and training a professional AI intelligent body using large models. The project includes features such as data preprocessing, knowledge graph construction, question-answering system development, and visualization exploration of the graph structure. It also provides code implementations for large models and RAG retrieval enhancement.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

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.

InternGPT (iGPT) is a pointing-language-driven visual interactive system that enhances communication between users and chatbots by incorporating pointing instructions. It improves chatbot accuracy in vision-centric tasks, especially in complex visual scenarios. The system includes an auxiliary control mechanism to enhance the control capability of the language model. InternGPT features a large vision-language model called Husky, fine-tuned for high-quality multi-modal dialogue. Users can interact with ChatGPT by clicking, dragging, and drawing using a pointing device, leading to efficient communication and improved chatbot performance in vision-related tasks.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

The Prompt Fuzzer is an open-source tool that helps you assess the security of your GenAI application's system prompt against various dynamic LLM-based attacks. It provides a security evaluation based on the outcome of these attack simulations, enabling you to strengthen your system prompt as needed. The Prompt Fuzzer dynamically tailors its tests to your application's unique configuration and domain. The Fuzzer also includes a Playground chat interface, giving you the chance to iteratively improve your system prompt, hardening it against a wide spectrum of generative AI attacks.

Futuristic construction AI with interplanetary and nano-robotics integration

Provides Construction Support relating to Planning Permission, Building Regulations, Party Wall Act and Fire Safety in the UK. Obtain instant Guidance for your Construction Project.

Construction machinery expert, developed on OpenAI

I organize my thoughts using ontology matrices, for detailed CWP advice.

Empowering beginners with lean construction knowledge by "Amir Zavichi"

A construction materials calculator for various projects.

Assistant for creating a construction project delivery handbook.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

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)

Your go-to assistant for construction bidding. Upload photos or documents and start estimating!

Provides guidance on construction projects

I read and interpret Lithuanian construction norms.

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.

Informative guide on road construction, maintenance, and traffic disruptions.

Building and Construction Information for Australia - no guarantee of this information, use at your own risk

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

A debate partner assisting in argument construction and analysis.

Your guide from home design to construction