Best AI tools for< Maintenance Supervisor >

Odysight.ai is a pioneering AI platform specializing in Predictive Maintenance and Condition Based Monitoring for Industry 4.0 markets. The platform utilizes Camera-as-a-Sensor™ technology and AI models to provide real-time insights in hard-to-reach locations and harsh environments across industries such as aviation, energy, mobility, and transportation.

Maintain-AI is an automated pavement assessment tool that utilizes cutting-edge computer vision and AI technologies to simplify and accelerate road assessments. It enables road asset professionals to make informed decisions by collecting and analyzing data from road network images. The tool aims to optimize the use of available budgets and improve the efficiency of pavement and infrastructure management through consistent and objective inspections.

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.

Attentive.ai is an AI-powered platform designed to automate landscaping, paving, and construction businesses. It offers end-to-end automation solutions for various industry needs, such as takeoff measurements, workflow management, and bid automation. The platform utilizes advanced AI algorithms to provide accurate measurements, streamline workflows, and optimize business operations. With features like automated takeoffs, smart scheduling, and real-time insights, Attentive.ai aims to enhance sales efficiency, production optimization, and back-office operations for field service businesses. Trusted by over 750 field service businesses, Attentive.ai is a comprehensive solution for managing landscape maintenance and construction projects efficiently.

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.

NuShift Inc is an AI-powered application that offers ELMR-T, a cutting-edge solution for converting data into actionable knowledge in the maintenance and engineering domain. Leveraging machine learning, machine translation, speech recognition, question answering, and information extraction, ELMR-T provides intelligent AI insights to empower maintenance teams. The application is designed to streamline data-driven decision-making, enhance user interaction, and boost efficiency by delivering precise and meaningful results effortlessly.

Inspectr is an AI-powered intelligence engine designed for real estate operations. It integrates with existing tech stacks to provide real-time, actionable insights that reduce costs, improve efficiency, and drive higher returns across portfolios. Inspectr turns fragmented data into predictive intelligence, optimizing spend, budgets, and maximizing Net Operating Income (NOI) without disrupting current systems. The platform offers features like real-time strategic intelligence, seamless integrations, and work order enrichment to streamline operations and enhance asset performance.

Assets Scout is a website that provides users with valuable information and resources related to asset management. The platform offers a wide range of tools and features to help individuals and businesses effectively track, monitor, and manage their assets. Users can access real-time data, analytics, and insights to make informed decisions and optimize their asset performance. With a user-friendly interface and intuitive design, Assets Scout aims to simplify the asset management process and enhance productivity.

Allie is an AI-powered software designed for manufacturing industries to enhance performance, predict downtime, and facilitate communication with the factory. It leverages Machine Learning to provide real-time insights, improve OEE and performance, ensure higher quality production, and accelerate decision-making processes. Allie connects directly to factory systems to collect and analyze data, enabling users to make informed decisions and optimize manufacturing operations.

Decopy AI Content Detector is an AI tool designed to help users determine if a given text was written by a human or generated by AI. It accurately identifies AI-generated, paraphrased, and human-written content. The tool offers features such as AI content highlighting, superior detection accuracy, user-friendly interface, free AI detection, instant access without sign-up, and guaranteed privacy. Users can utilize the AI Detector for tasks like academic integrity checks, content creation, journalism verification, publishing standards maintenance, SEO content uniqueness, social media reliability checks, legal document originality verification, and corporate training material quality assurance.

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The website is currently offline for maintenance. It is undergoing updates and improvements to enhance user experience. Please check back later for the latest information and services.

CoTech.ai is an Augmented Reality platform for automotive repair and maintenance, empowering service technicians with AR & AI-enabled solutions. The platform provides operational efficiency in automotive maintenance and inspections by offering direct access to expertise through AR-enabled instructions. It digitizes service operations, accelerates maintenance inspections, reduces training costs, and brings expert knowledge to technicians' fingertips. CoTech.ai revolutionizes maintenance with AI and AR, minimizing errors, maximizing performance, and enhancing the overall service experience.

Superblog is an AI-powered blogging platform that serves as the best alternative for WordPress and Medium blogs. It is designed to provide users with a hassle-free blogging experience by automatically optimizing for SEO, speed, and design. With features like AI Helper, auto image optimization, and real-time hints for content creation, Superblog aims to streamline the blogging process and enhance user experience. Trusted by unicorns and YC companies, Superblog offers a user-friendly interface, privacy-friendly analytics, and seamless integration with existing websites or apps.

Vindey is an industry-leading AI-powered CRM platform designed for property management and sales solutions. It offers real-time smart suggestions, automation features, and intelligent sales automation to transform customer experiences. Vindey handles the entire sales pipeline, from lead qualification to deal closing, while providing personalized interactions and seamless lead management. The platform also offers AI-powered payment insights, workflow automation, and tailored solutions for various industries, such as sales, healthcare, real estate, education, and manufacturing.

CEREBRUMX is an AI-powered platform that offers preventive car maintenance telematics solutions for various industries such as fleet management, vehicle service contracts, electric vehicles, smart cities, and media. The platform provides data insights and features like driver safety, EV charging, predictive maintenance, roadside assistance, and traffic flow management. CEREBRUMX aims to optimize fleet operations, enhance efficiency, and deliver high-value impact to customers through real-time connected vehicle data insights.

Rainforest QA is an AI-powered test automation platform designed for SaaS startups to streamline and accelerate their testing processes. It offers AI-accelerated testing, no-code test automation, and expert QA services to help teams achieve reliable test coverage and faster release cycles. Rainforest QA's platform integrates with popular tools, provides detailed insights for easy debugging, and ensures visual-first testing for a seamless user experience. With a focus on automating end-to-end tests, Rainforest QA aims to eliminate QA bottlenecks and help teams ship bug-free code with confidence.

Kadoa is an AI web scraper tool that extracts unstructured web data at scale automatically, without the need for coding. It offers a fast and easy way to integrate web data into applications, providing high accuracy, scalability, and automation in data extraction and transformation. Kadoa is trusted by various industries for real-time monitoring, lead generation, media monitoring, and more, offering zero setup or maintenance effort and smart navigation capabilities.

AR Genie is an AI-powered platform that offers remote visual assistance with augmented reality, revolutionizing operations and support by seamlessly integrating AR with the power of AI. The platform empowers companies to enhance their operations and support through innovative solutions, such as remote assistance, operations and maintenance support, onboarding and troubleshooting, and AR manuals for work instructions. AR Genie provides features like AR annotation tools, live camera streaming, AR glasses support, web portal integration, and mobile-to-mobile sessions. The platform offers benefits such as extending expert reach, minimizing costs, and maximizing uptime, with advantages including reduced technician dispatches, increased customer satisfaction, expanded knowledge, faster problem-solving, and reduced costs. However, some disadvantages include potential technical glitches, dependency on internet connectivity, and the need for user training.

MimicPC is a web-based platform that allows users to run various AI applications directly in their browser without the need for installation. Users can access a wide range of AI tools and applications seamlessly, making it convenient for both professionals and enthusiasts to leverage the power of artificial intelligence. With MimicPC, users can perform tasks such as image recognition, natural language processing, and data analysis with ease.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

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.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

Awesome-Robotics-3D is a curated list of 3D Vision papers related to Robotics domain, focusing on large models like LLMs/VLMs. It includes papers on Policy Learning, Pretraining, VLM and LLM, Representations, and Simulations, Datasets, and Benchmarks. The repository is maintained by Zubair Irshad and welcomes contributions and suggestions for adding papers. It serves as a valuable resource for researchers and practitioners in the field of Robotics and Computer Vision.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

Cache-Augmented Generation (CAG) is an alternative paradigm to Retrieval-Augmented Generation (RAG) that eliminates real-time retrieval delays and errors by preloading all relevant resources into the model's context. CAG leverages extended context windows of large language models (LLMs) to generate responses directly, providing reduced latency, improved reliability, and simplified design. While CAG has limitations in knowledge size and context length, advancements in LLMs are addressing these issues, making CAG a practical and scalable alternative for complex applications.

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.

The Awesome-System2-Reasoning-LLM repository is dedicated to a survey paper titled 'From System 1 to System 2: A Survey of Reasoning Large Language Models'. It explores the development of reasoning Large Language Models (LLMs), their foundational technologies, benchmarks, and future directions. The repository provides resources and updates related to the research, tracking the latest developments in the field of reasoning LLMs.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

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)

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

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Expert in pool maintenance and safety, informative and helpful.

Rough day at work? Stressed out? Or just want to see some funny memes? I got you! Type "help" for More Information

I'm an expert in pond maintenance, offering detailed advice on ecology, water quality, and fish care.

Expert in GMC vehicle maintenance and repair, with internet browsing for extra info.

Expert in toilet maintenance and eco-friendly solutions.

Assists with flooring choices and maintenance advice.

A helpful guide for MTB maintenance and repairs.

Leading AI Advisor in tire knowledge and maintenance, powered by OpenAI

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

Practical advice on heavy machinery repair and maintenance.

Expert in electrical installation and maintenance advice.

A helpful guide for succulent care and maintenance.

A virtual dishwasher repair manual for troubleshooting and maintenance advice.

Musical and informative guide on instrument repair and maintenance.

Cycling expert providing tips, maintenance advice, and updates on biking.

Insights on building management, property maintenance, and tenant services.

An expert on trucks, offering insights on maintenance, types, and news.

A knowledgeable guide on hardwood types, uses, and maintenance.

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