Best AI tools for< Analyze Construction Costs >

ganttLify is a project management application that offers a gamified approach to tracking, analyzing, and visualizing tasks using tools like Gantt charts, EVM, CPM, and curves. It helps both professionals and hobbyists manage projects efficiently by providing features such as Critical Path Method (CPM), Earned Value Management (EVM), Gantt Chart visualization, Cumulative Cost Curve monitoring, text notes & to-dos organization, sketch & draw capabilities, and upcoming AI, AR/VR, voice note, and team collaboration support.

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.

Slate Technologies Solutions is an AI-powered data analytics software that leverages predictive AI, generative AI, and conversational AI to provide a powerful toolkit for next-generation construction. The software connects, contextualizes, and enhances relevant information within existing data sources, allowing users to query, interact, and make decisions based on data insights and recommendations. Slate aims to address real-world construction problems by empowering teams with AI-driven intelligence, optimizing data, and turning unstructured information into actionable insights. The application improves operational efficiency, provides real-time progress reporting, and enables teams to make smarter decisions, ultimately driving profitability and success in construction projects.

Doxel is an AI-powered construction progress tracking tool that provides a comprehensive solution for stakeholders in various industries. It automates progress tracking, reduces schedule risks, and speeds up construction processes by capturing and analyzing detailed data using advanced image recognition technology. Doxel offers powerful tools for both office and field use, enabling project leaders to mitigate risks, increase reliability, and predictability. With its objective visibility and automation features, Doxel helps stakeholders save time, make informed decisions, and improve project efficiency.

Observance is an AI-powered construction management platform developed by Inkers.ai. It integrates advanced AI technologies to provide features such as 4D BIM, Snag List, Project Milestones, Scan to BIM, Thermals Analytics, and Deviation Analysis. The platform offers real-time tracking, smart scheduling, BIM integration, analytics dashboard, and next-generation construction AI capabilities. Observance helps owners, contractors, and architects in tracking, managing, and executing construction projects efficiently. It also offers defect detection, mesh segmentation, objects identification, and health & safety monitoring using AI algorithms.

XKool Technology is an AI cloud platform offering comprehensive solutions for the building industry. It provides digital and intelligent empowerment for design, construction, and management processes. The platform integrates AI technology to enhance building industrial upgrades and offers AI-assisted content creation, model marketplace, AI toolbox, and various design and management solutions.

The website is a real estate platform that may temporarily block access to users who are suspected of being bots. It requires JavaScript to function properly and provides a reference ID for users to contact customer service in case of any issues.

AeroMegh is a drone data analytics platform that transforms drone data into actionable insights by ensuring seamless and secured integration. It offers an end-to-end stack for flying and capturing, processing, and analyzing drone data with ease. AeroMegh provides solutions for various business sectors using patented services on top of existing hardware. The platform is designed to save time and money by creating more time to live through efficient drone data analytics.

Opteam is a construction project management software designed to help construction companies manage their projects efficiently. It offers features such as progress tracking, schedule analysis, real-time dashboards, and automated progress requests. Opteam aims to address the shortcomings of traditional construction project management software by providing dynamic solutions for smarter infrastructure management. The platform is user-friendly and allows users to track, monitor, and share project progress seamlessly.

STRATxAI is an AI-powered quantitative investment platform that offers custom AI model portfolios tailored to clients' investment philosophy, risk tolerance, and objectives. The platform harnesses machine learning to deliver data-driven insights for security analysis, portfolio construction, and management. Powered by the proprietary investment engine Alana, STRATxAI processes over 8 billion financial data points daily to uncover hidden alpha beyond traditional methods. Clients benefit from smarter decision-making, better risk-adjusted returns, optimized portfolio management, and savings on resources. The platform is designed to enhance investment decisions for forward-thinking investors by leveraging AI technology.

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.

Intangles is an advanced fleet management and predictive analytics platform powered by AI technology. It offers a suite of solutions designed to optimize fleet operations, improve vehicle health monitoring, enhance driving behavior, track fuel consumption, automate operations, and provide accurate predictive analytics. Intangles caters to various industries such as trucking, construction, mining, farming, oil & gas, transit, marine engines, gensets, and waste management. The platform leverages state-of-the-art technology including Digital Twin Technology, Integrated Solution, and Predictive Analytics to deliver outstanding results. Intangles' mission is to spark a technology revolution in the mobility industry by helping businesses save time and money through predictive maintenance and real-time data insights.

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.

TrustLoop is an online reputation management software designed to help businesses enhance their online presence by capturing more positive reviews and feedback. The platform offers AI-powered reputation management solutions tailored for tech companies. With TrustLoop, users can automate the process of gathering and managing reviews from various platforms like TrustPilot, Capterra, G2, and Google. The application provides actionable insights from feedback and reviews through AI integration, allowing businesses to improve their online reputation effectively. TrustLoop also offers customizable survey widgets, popup tools, and landing pages to engage customers and drive more 5-star reviews before achieving product-market fit. The platform is fully customizable, bloat-free, and easy to set up, making it a valuable tool for businesses looking to build social proof and enhance customer satisfaction.

Review Bomb Me is an AI-powered software that helps businesses convert negative reviews into constructive and positive ones. It uses AI to summarize reviews and add them to a dashboard, where businesses can monitor how their Review Bomb is going. Review Bomb Me also provides businesses with a personal user analytics dashboard, so they can see who is engaging with their content and where they are coming from.

LooksMax AI is an AI tool that provides users with a personalized rating of their physical appearance. Trusted by over 2 million people, it uses advanced algorithms to analyze facial features and provide an assessment of attractiveness. Users can discover how they are perceived by others and gain insights into their appearance. The tool aims to boost confidence and self-awareness by offering constructive feedback and suggestions for improvement.

Komensa is an AI-powered communication tool designed to help users navigate tough conversations easier using Nonviolent Communication. The application analyzes messages and provides constructive translations to enhance communication effectiveness. With features like translating rough communication, support for multiple languages, and a proven framework, Komensa aims to facilitate conflict resolution and build lasting relationships. Users can compose messages, utilize the 'Magic Button' for AI analysis, and send transformed messages with confidence. Komensa prioritizes security and privacy, ensuring that conversations are kept confidential. Testimonials from users highlight the app's effectiveness in improving communication in various settings, from professional relationships to personal connections.

Elicit is a research tool that uses artificial intelligence to help researchers analyze research papers more efficiently. It can summarize papers, extract data, and synthesize findings, saving researchers time and effort. Elicit is used by over 800,000 researchers worldwide and has been featured in publications such as Nature and Science. It is a powerful tool that can help researchers stay up-to-date on the latest research and make new discoveries.

Plerdy is a comprehensive suite of conversion rate optimization tools that helps businesses track, analyze, and convert their website visitors into buyers. With a range of features including website heatmaps, session replay software, pop-up software, website feedback tools, and more, Plerdy provides businesses with the insights they need to improve their website's usability and conversion rates.

TimeComplexity.ai is an AI tool that allows users to analyze the runtime complexity of their code. It works seamlessly across different programming languages without the need for headers, imports, or a main statement. Users can input their code and get insights into its performance. However, it is important to note that the results may not always be accurate, so caution is advised when using the tool.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

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.

AI2BMD is a program for efficiently simulating protein molecular dynamics with ab initio accuracy. The repository contains datasets, simulation programs, and public materials related to AI2BMD. It provides a Docker image for easy deployment and a standalone launcher program. Users can run simulations by downloading the launcher script and specifying simulation parameters. The repository also includes ready-to-use protein structures for testing. AI2BMD is designed for x86-64 GNU/Linux systems with recommended hardware specifications. The related research includes model architectures like ViSNet, Geoformer, and fine-grained force metrics for MLFF. Citation information and contact details for the AI2BMD Team are provided.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

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