Best AI tools for< Field Inspector >

Plnar is a smartphone imagery platform powered by AI that transforms smartphone photos into accurate 3D models, precise measurements, and fast estimates. It allows users to capture spatial-ready imagery without special equipment, enabling self-service for policyholders and providing field solutions for adjusters. Plnar standardizes data formats from a single smartphone image, generating reliable data for claims, underwriting, and more. The platform integrates services into one streamlined solution, eliminating inconsistencies and manual entry.

AI Clearing is an AI-powered progress tracking tool with quality control reporting specifically designed for construction projects. It allows users to monitor progress, track production, and align with schedules seamlessly. The tool is fully driven by site and project data, providing actionable insights to boost teams' performance, save resources, and cut administrative and supervision time. AI Clearing is trusted by industry professionals and offers a comprehensive solution to overcome challenges in the construction industry.

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.

OpenSpace is an AI-powered reality intelligence platform that provides complete visual records of construction projects, enabling efficient project management. It uses Spatial AI technology to automate site capture and simplify documentation, helping teams save time, increase productivity, and reduce risks. With features like field notes, mobile app, and quick image mapping, OpenSpace streamlines workflows for QA/QC, RFIs, and punch lists. The platform offers clear visual proof of site conditions, reducing rework and insurance costs. OpenSpace is known for its reliability, speed, and power, making it a trusted solution for industry leaders in construction.

Toolpath is an AI-powered CAM automation tool for CNC machining. It analyzes parts for machinability, estimates costs, plans machining strategies, and generates CAM programs for Autodesk Fusion. The tool utilizes AI to optimize toolpaths and increase CNC machining productivity. Toolpath simplifies workflow by automating setup and toolpath generation, allowing users to focus on machining. It offers intelligent estimating, seamless CAM integration, and design for manufacturing capabilities. Designed by machinists, Toolpath aims to help both new and experienced users save time, reduce waste, and enhance productivity in the field of CNC machining.

VoiceLine is an AI-based field sales revenue intelligence tool that serves as an AI operating system for field sales teams. It allows users to capture touchpoints with their voice, automate admin tasks, and gain actionable insights directly from the field. The tool enhances efficiency, data quality, and employee satisfaction by simplifying data entry processes and providing hands-free operation for salespeople on the go. VoiceLine is designed to integrate seamlessly with existing systems and offers customizable automation features to streamline sales processes.

Fieldproxy is an AI-powered Field Service Management (FSM) software that offers solutions for various industries such as HVAC, Solar Energy, Telecommunications, Electrical & Powergrid Systems, Pest Control Services, FMCG, Banking & Financial Services, Construction, and Facilities Management. The platform provides real-time oversight, automated ticket creation, predictive service scheduling, and asset lifecycle management. Fieldproxy aims to empower on-ground teams, increase productivity, automate workflows, and enhance customer service across different sectors.

The Computer Vision Foundation (CVF) is a non-profit organization dedicated to advancing the field of computer vision. CVF organizes several conferences and workshops each year, including the International Conference on Computer Vision (ICCV), the Conference on Computer Vision and Pattern Recognition (CVPR), and the Winter Conference on Applications of Computer Vision (WACV). CVF also publishes the International Journal of Computer Vision (IJCV) and the Computer Vision and Image Understanding (CVIU) journal. The CVF Open Access website provides access to the full text of all CVF-sponsored conference papers. These papers are available for free download in PDF format. The CVF Open Access website also includes links to the arXiv versions of the papers, where available.

Supple.ai is an AI-powered content generation tool that helps users create high-quality written content quickly and efficiently. By leveraging advanced natural language processing algorithms, Supple.ai can generate articles, blog posts, product descriptions, and more in a matter of minutes. The tool is designed to assist content creators, marketers, and businesses in streamlining their content creation process and improving productivity.

Luma Dream Machine is a cutting-edge AI tool that empowers users to ideate, visualize, and create stunning images and videos effortlessly. It offers a new fluid medium for creativity, enabling users to bring their wildest dreams to life with the help of powerful image and video AI models. The platform is designed to be intuitive and user-friendly, allowing users to explore endless ideas, make unique creations, and share their vision with the world. Luma Dream Machine is available on iOS and the Web, providing a seamless experience for creators of all levels.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

FYLD is an award-winning digital platform that utilizes machine learning to automatically transform video and audio footage into real-time workflows, video risk assessments, and analytics dashboards. It aims to eliminate paperwork, save time, and create safer work sites for various sectors such as Highways, Energy, Water, and Wastewater. FYLD helps managers prioritize high-risk sites, reduces paperwork, and enhances efficiency by providing remote visibility of site conditions. The platform empowers fieldworkers, contractors, and civil engineers by streamlining job processes, improving safety measures, and minimizing environmental impact.

Bleep Censor AI is an innovative tool designed to help content creators and video producers easily censor profanity in their videos. By utilizing artificial intelligence technology, the application automatically detects and censors any offensive language, ensuring that the content remains suitable for all audiences. With a user-friendly interface and efficient processing capabilities, Bleep Censor AI streamlines the editing process and allows creators to focus on producing high-quality content without the worry of demonetization or negative feedback.

JobtitlesAI is a machine-learning API that sorts job titles into two categories: field (sales, finance, I.T...) and position (executive, management, assistant...). It can be used in spreadsheets, Hubspot, or via API. JobtitlesAI is multilingual and GDPR compliant.

The AI Health World Summit is a biennial event organized by SingHealth that brings together global leaders in healthcare, academia, government, legal, and industry sectors to explore the latest advancements and applications of artificial intelligence in healthcare. The summit focuses on crucial topics such as AI technologies adoption, clinical applications, data governance, privacy safeguards, advancements in vision and language models for health contexts, responsible AI practices, and AI education. The event aims to foster collaboration and innovation in AI-driven healthcare solutions.

The Center for AI Safety (CAIS) is a research and field-building nonprofit based in San Francisco. Their mission is to reduce societal-scale risks associated with artificial intelligence (AI) by conducting impactful research, building the field of AI safety researchers, and advocating for safety standards. They offer resources such as a compute cluster for AI/ML safety projects, a blog with in-depth examinations of AI safety topics, and a newsletter providing updates on AI safety developments. CAIS focuses on technical and conceptual research to address the risks posed by advanced AI systems.

Scienaptic Systems is an AI-powered Credit Decisioning Platform that revolutionizes the lending industry by automating credit underwriting processes, leveraging alternate data points, and offering self-learning models for instant credit decisions. The platform helps lenders identify creditworthy borrowers, streamline customer experience, and ensure fair lending practices through explainable AI models. Scienaptic's suite of AI-enabled technologies enables lenders to say 'Yes' to more borrowers at lower risk, providing a 360-degree risk assessment before approving applications. The platform integrates seamlessly with existing lending ecosystems, ensuring disruption-free deployment and better risk predictions through a single API call.

Wholesum is a group menu planning and shopping list tool that helps users save time, money, and reduce food waste. It allows users to easily adjust for dietary restrictions, group size, and duration. Wholesum also generates shopping lists and provides AI-powered recipes. With Wholesum, users can create sharable meal plans, estimate costs, and organize their meals by date and category.

2Slash is a prompt-free AI assistant that can be used in any text field to create emails, social media posts, replies, summarize long text, and more. It is designed to simplify content creation and help users write smarter and faster. 2Slash is trusted by over 2,000 people and has been described as a "game-changer" and a "lifesaver." It is a one-of-a-kind tool that can help users save time and improve their productivity.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

NobodyWho is a plugin for the Godot game engine that enables interaction with local LLMs for interactive storytelling. Users can install it from Godot editor or GitHub releases page, providing their own LLM in GGUF format. The plugin consists of `NobodyWhoModel` node for model file, `NobodyWhoChat` node for chat interaction, and `NobodyWhoEmbedding` node for generating embeddings. It offers a programming interface for sending text to LLM, receiving responses, and starting the LLM worker.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.

BlinkID iOS is a mobile SDK that enables developers to easily integrate ID scanning and data extraction capabilities into their iOS applications. The SDK supports scanning and processing various types of identity documents, such as passports, driver's licenses, and ID cards. It provides accurate and fast data extraction, including personal information and document details. With BlinkID iOS, developers can enhance their apps with secure and reliable ID verification functionality, improving user experience and streamlining identity verification processes.

InsPLAD is a dataset and benchmark for power line asset inspection in UAV images. It contains 10,607 high-resolution UAV color images of seventeen unique power line assets with six defects. The dataset is used for object detection, defect classification, and anomaly detection tasks in computer vision. InsPLAD offers challenges like multi-scale objects, intra-class variation, cluttered background, and varied lighting conditions, aiming to improve state-of-the-art methods in the field.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

Forust is a lightweight package for building gradient boosted decision tree ensembles. The algorithm code is written in Rust with a Python wrapper. It implements the same algorithm as XGBoost and provides nearly identical results. The package was developed to better understand XGBoost, as a fun project in Rust, and to experiment with adding new features to the algorithm in a simpler codebase. Forust allows training gradient boosted decision tree ensembles with multiple objective functions, predicting on datasets, inspecting model structures, calculating feature importance, and saving/loading trained boosters.

Awesome Embodied AI Job is a curated list of resources related to jobs in the field of Embodied Artificial Intelligence. It includes job boards, companies hiring, and resources for job seekers interested in roles such as robotics engineer, computer vision specialist, AI researcher, machine learning engineer, and data scientist.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

Data Formulator is an AI-powered tool developed by Microsoft Research to help data analysts create rich visualizations iteratively. It combines user interface interactions with natural language inputs to simplify the process of describing chart designs while delegating data transformation to AI. Users can utilize features like blended UI and NL inputs, data threads for history navigation, and code inspection to create impressive visualizations. The tool supports local installation for customization and Codespaces for quick setup. Developers can build new data analysis tools on top of Data Formulator, and research papers are available for further reading.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

RWKV Runner is a project designed to simplify the usage of large language models by automating various processes. It provides a lightweight executable program and is compatible with the OpenAI API. Users can deploy the backend on a server and use the program as a client. The project offers features like model management, VRAM configurations, user-friendly chat interface, WebUI option, parameter configuration, model conversion tool, download management, LoRA Finetune, and multilingual localization. It can be used for various tasks such as chat, completion, composition, and model inspection.

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.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

A curated list of companies in the robotics and artificially intelligent agents industry, including large companies, stable start-ups, non-profits, and government research labs. The list covers companies working on autonomous vehicles, robotics, artificial intelligence, machine learning, computer vision, and more. It aims to showcase industry innovators and important players in the field of robotics and AI.

Informative guide on septic systems, offering troubleshooting and maintenance tips.

Expert in wilderness survival, offering practical advice and strategies.

Assists in resolving technical issues in field operations.

Professional advice on field marketing and event planning

Hello I'm Field Artillery Senior Sergeant Assistant! What would you like help with today?

A GPT that provides lectures on Quantum Field Theory

Expert in engaging football journalism.

Accessible meme creator for the medical field.

I aim to level the playing field by turning ordinary citizens into lobbyists.

Advisor with a profound grasp of the field of Operations Management tailored to the startup sector | ver. 001

Professional experts in the battery field will answer your battery questions in the simplest way. At the same time, the database is constantly updated, and it has now been updated to 2024/01/10

Advising on the broad and dynamic field of technology leadership.

Columnist specializing in the Bitcoin field. I am good at writing in blog format.

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

A customized ChatGPT designed to excel in the field of synthetic biology, as a scientist, an engineer, and a business man

This prompt acts as an expert in AI and a specific field, designing educational and attractive manuals for a defined audience. He specializes in integrating advanced knowledge and NLP techniques to generate high-quality content.

The IlluminatiAI model represents a novel approach in the field of artificial intelligence, incorporating elements of secret societies, ancient knowledge, and hidden wisdom into its algorithms.

Translation of scientific publications in several languages in the field of generative AI, Machine Learning, and Deep Learning.

A guide for Therapists in Person-centered or students in this field, aimed at assisting in patient sessions, providing literature suggestions, and offering reflections on the clinical interventions of users.

Drawing upon the extensive knowledge of Jeffrey Hiatt in the field of Change Management, let's collaborate to craft an action plan tailored to your current project. BRAWT.com.au