Best AI tools for< Estimator >

Explorerg is an AI-powered travel planner and trip cost estimator that revolutionizes travel planning by providing personalized itineraries and seamless booking options. By leveraging advanced artificial intelligence algorithms, Explorerg analyzes user preferences, historical trends, and real-time updates to craft custom-made itineraries that cater to unique interests and requirements. The platform offers features such as currency conversion, language translation, cost tracking, flight and hotel booking, and a blog with travel insights. Explorerg aims to deliver stress-free and unforgettable travel experiences by merging cutting-edge technology with personalized assistance.

CostGPT is an AI application designed to simplify software project planning by providing comprehensive roadmaps that include detailed estimates like costs, features, sitemaps, and milestones. It offers a straightforward pricing model with no subscription fees and aims to help project managers, developers, business owners, and anyone involved in software project planning and execution to plan and manage their projects efficiently.

Beam AI is the #1 end-to-end automated takeoff software designed for General Contractors, Subcontractors, and Suppliers in the construction industry. It leverages cutting-edge Artificial Intelligence technology to provide accurate and fast quantity takeoffs for various trades, saving up to 90% of the time typically spent on manual takeoffs. With Beam AI, users can streamline their bidding process, send out more estimates, and focus on value engineering to build competitive estimates. The software offers features such as cloud-based collaboration, 100% done-for-you quantity takeoffs, auto-detection of spec details, and the ability to process multiple takeoffs in parallel.

Downtobid is an AI-powered bidding software designed for General Contractors. It helps in turning construction plans into Bid Invites in minutes by identifying bid packages in drawings, creating custom subcontractor invite lists, and streamlining bidding processes. The platform offers features like AI-powered scope reviews, smart planroom creation, project-specific sublists, personalized email communication, and real-time contractor data. Downtobid aims to save time, improve bid responses, and enhance project success by leveraging artificial intelligence technology.

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.

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.

Trickmenot.ai is an AI tool that provides detection tips and reviews for AI applications. It offers a free text humanizer and Turnitin score estimator to help users bypass originality checks. The website also features a blog with exclusive AI detection updates and tricks. Trickmenot.ai aims to assist users in improving the readability and originality of their content while keeping the meaning intact.

Handoff AI Estimating is an AI tool designed to help contractors and residential construction businesses automate their operations with the power of Artificial Intelligence. The application provides instant AI estimates, client management system, winning AI proposals, digital invoicing, and integration with top construction suppliers. Handoff aims to streamline the estimating process, improve accuracy, and accelerate business growth for remodelers, handymen, and fix and flip professionals.

Ideanote is an enterprise innovation and idea management software platform that helps businesses collect, prioritize, and implement ideas from customers, partners, and employees. It streamlines the innovation process by offering a structured, repeatable approach, incorporating AI to speed up ideation and implementation. Ideanote empowers companies of all sizes to accelerate their innovation, engage their crowd, measure impact, automate tasks, and use AI to innovate faster. With a focus on goal-driven idea collections, Ideanote provides a central home for ideas, making innovation accessible and efficient for all users.

EstimateAI is an AI-powered application that revolutionizes time management by providing accurate and personalized task execution time estimates. It utilizes advanced AI algorithms to offer detailed estimates of task durations, enabling better planning and time management. The app helps individuals and teams prioritize effectively, manage workloads efficiently, and make data-driven decisions. It is customizable to various industries and features a user-friendly interface. EstimateAI is designed for freelancers, startups, and large corporations to optimize time management and boost productivity.

Plan Fast is an AI-powered scrum planning poker app designed to enhance team productivity. It offers features such as AI-powered issue identification, effortless Jira integration, and a wide range of themes to personalize the planning experience. Plan Fast aims to provide accurate story and task estimates, streamline the planning process, and improve overall team collaboration.

How Old Do I Look is a free online AI face age detector that utilizes advanced AI technology to estimate the age of a person based on their uploaded photo. Users can easily upload a photo without the need for registration or login, ensuring a quick and fun experience. The tool provides instant results by analyzing facial features and characteristics through AI-powered algorithms. User privacy is prioritized as photos are securely processed and not stored on the servers. How Old Do I Look offers a unique way to see one's age through the eyes of AI, allowing for entertaining comparisons with friends and family.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Token Counter is an AI tool designed to convert text input into tokens for various AI models. It helps users accurately determine the token count and associated costs when working with AI models. By providing insights into tokenization strategies and cost structures, Token Counter streamlines the process of utilizing advanced technologies.

Artifise is an AI-powered productivity tool that revolutionizes task management by simplifying to-do lists and enhancing productivity. It offers features like Focus Mode for distraction-free work, AI Project creation for project planning, and Personal llm's for personalized language models. With Artifise, users can experience effortless daily task management and improved efficiency.

Rivet AI is a revolutionary AI tool designed to streamline pre-production processes for filmmakers. It offers cutting-edge features to optimize budgeting, scheduling, and script analysis, allowing users to focus on creativity and storytelling. With a strong emphasis on security and confidentiality, Rivet AI ensures that intellectual property remains protected. Trusted by industry professionals, Rivet AI is a valuable asset for film producers, screenwriters, script editors, and aspiring film directors.

Generative.ai is an AI tool designed for Salesforce consultants to enhance productivity and efficiency in creating solutions, estimates, and proposals. The tool leverages AI technology to generate detailed proposals in minutes, provide commercial insights, and recommend product features based on extensive data processing. It aims to streamline the proposal creation process and improve accuracy through AI-assisted enhancement.

Capehost.ai is a full-service vacation rental management application that helps property owners maximize their earnings and minimize stress. The platform offers comprehensive services including marketing, reservations, check-ins, support, cleaning, restocking, and managing contractors. With a focus on increasing revenue, Capehost.ai utilizes AI-powered price-setting technology, professional in-house teams, and owner portal access for real-time property performance monitoring. The application provides 24/7 guest support, highest occupancy rates, and advertising on major platforms to ensure property exposure. Capehost.ai also offers low management fees, no commitments, and the freedom to cancel anytime.

Weights & Biases is an AI tool that offers documentation, guides, tutorials, and support for using AI models in applications. The platform provides two main products: W&B Weave for integrating AI models into code and W&B Models for building custom AI models. Users can access features such as tracing, output evaluation, cost estimates, hyperparameter sweeps, model registry, and more. Weights & Biases aims to simplify the process of working with AI models and improving model reproducibility.

Geolocation-OSINT is a repository that provides a comprehensive list of resources, tools, and platforms for geolocation challenges and open-source intelligence. It includes a wide range of mapping services, image search tools, AI-powered geolocation estimators, and satellite imagery archives. The repository covers various aspects of geolocation, from finding GPS coordinates to estimating the size of objects in images. Users can access tools for social media monitoring, street-level imagery, and geospatial analysis. Geolocation-OSINT is a valuable resource for individuals interested in geolocation, mapping, and intelligence gathering.

sktime is a Python library for time series analysis that provides a unified interface for various time series learning tasks such as classification, regression, clustering, annotation, and forecasting. It offers time series algorithms and tools compatible with scikit-learn for building, tuning, and validating time series models. sktime aims to enhance the interoperability and usability of the time series analysis ecosystem by empowering users to apply algorithms across different tasks and providing interfaces to related libraries like scikit-learn, statsmodels, tsfresh, PyOD, and fbprophet.

EOLE is an open language modeling toolkit based on PyTorch. It aims to provide a research-friendly approach with a comprehensive yet compact and modular codebase for experimenting with various types of language models. The toolkit includes features such as versatile training and inference, dynamic data transforms, comprehensive large language model support, advanced quantization, efficient finetuning, flexible inference, and tensor parallelism. EOLE is a work in progress with ongoing enhancements in configuration management, command line entry points, reproducible recipes, core API simplification, and plans for further simplification, refactoring, inference server development, additional recipes, documentation enhancement, test coverage improvement, logging enhancements, and broader model support.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

skpro is a library for supervised probabilistic prediction in python. It provides `scikit-learn`-like, `scikit-base` compatible interfaces to: * tabular **supervised regressors for probabilistic prediction** \- interval, quantile and distribution predictions * tabular **probabilistic time-to-event and survival prediction** \- instance-individual survival distributions * **metrics to evaluate probabilistic predictions** , e.g., pinball loss, empirical coverage, CRPS, survival losses * **reductions** to turn `scikit-learn` regressors into probabilistic `skpro` regressors, such as bootstrap or conformal * building **pipelines and composite models** , including tuning via probabilistic performance metrics * symbolic **probability distributions** with value domain of `pandas.DataFrame`-s and `pandas`-like interface

Pax is a framework to configure and run machine learning experiments on top of Jax.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

Intel® Extension for TensorFlow* is a high performance deep learning extension plugin based on TensorFlow PluggableDevice interface. It aims to accelerate AI workloads by allowing users to plug Intel CPU or GPU devices into TensorFlow on-demand, exposing the computing power inside Intel's hardware. The extension provides XPU specific implementation, kernels & operators, graph optimizer, device runtime, XPU configuration management, XPU backend selection, and options for turning on/off advanced features.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

PURE (Process-sUpervised Reinforcement lEarning) is a framework that trains a Process Reward Model (PRM) on a dataset and fine-tunes a language model to achieve state-of-the-art mathematical reasoning capabilities. It uses a novel credit assignment method to calculate return and supports multiple reward types. The final model outperforms existing methods with minimal RL data or compute resources, achieving high accuracy on various benchmarks. The tool addresses reward hacking issues and aims to enhance long-range decision-making and reasoning tasks using large language models.

AIDE @ unipi is a repository containing students' material for the course in Artificial Intelligence and Data Engineering at University of Pisa. It includes slides, students' notes, information about exams methods, oral questions, past exams, and links to past students' projects. The material is unofficial and created by students for students, checked only by students. Contributions are welcome through pull requests, issues, or contacting maintainers. The repository aims to provide non-profit resources for the course, with the opportunity for contributors to be acknowledged and credited. It also offers links to Telegram and WhatsApp groups for further interaction and a Google Drive folder with additional resources for AIDE published by past students.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework enables LLMs to reason and interact with the environment, optimizing entire trajectories for long-horizon reasoning while maintaining computational efficiency.

FlashLearn is a tool that provides a simple interface and orchestration for incorporating Agent LLMs into workflows and ETL pipelines. It allows data transformations, classifications, summarizations, rewriting, and custom multi-step tasks using LLMs. Each step and task has a compact JSON definition, making pipelines easy to understand and maintain. FlashLearn supports LiteLLM, Ollama, OpenAI, DeepSeek, and other OpenAI-compatible clients.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework consists of MDP formulation, RICO algorithm with rollout and update stages, and reward normalization strategies to stabilize training. RAGEN aims to optimize reasoning and action strategies for LLM agents operating in complex environments.

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out of the box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines and many more.

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, speech recognition, generation, certification, etc.).

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

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

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Futuristic construction AI with interplanetary and nano-robotics integration

Assistant for creating a construction project delivery handbook.

Construction machinery expert, developed on OpenAI

Empowering beginners with lean construction knowledge by "Amir Zavichi"

A construction materials calculator for various projects.

Expert in construction project management and document analysis.

Your AI MEP Estimator Co-pilot

Expert in building trades, providing informative insights on construction.

A precise and informative estimator for various calculations and quantities.

Sicro e SINAPI

Assists with construction labor information.