Best AI tools for< Safety Coordinator >

Omnilert is an AI-powered platform that provides active shooter protection and emergency communications solutions. It offers gun detection technology, emergency response automation, and real-time monitoring to help organizations respond swiftly to threats and keep people safe. With a focus on maximizing every critical second, Omnilert revolutionizes safety across various industries by combining AI-powered monitoring software with human verification. The platform is trusted by thousands of customers worldwide for its accuracy, low false positive rate, and innovative approach to safeguarding people, facilities, and operations.

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.

Harvy is an AI-driven automation tool designed for Heavy Vehicle Compliance and NHVR Driver Work Diary Reporting. It automates data entry, breach detection, compliance reporting, and provides insights to enhance safety and efficiency in transport operations. Harvy streamlines compliance processes, reduces operational costs, and ensures regulatory adherence, offering significant time and cost savings for businesses.

RideAI is an innovative AI-powered platform designed to revolutionize the transportation industry. It leverages advanced artificial intelligence algorithms to optimize ride-sharing services, enhance user experience, and streamline operations for both drivers and passengers. By harnessing the power of AI, RideAI aims to provide efficient and cost-effective transportation solutions that prioritize safety, convenience, and sustainability.

Tomorrow.io is a Weather Intelligence & Resilience Platform that provides hyper-accurate weather data and insights for organizations and consumers. It offers a range of products and solutions for various industries, leveraging proprietary space data and AI/ML technology to help users predict, make informed decisions, and address weather-related challenges. The platform enables proactive measures to protect infrastructure, optimize operations, and enhance safety in the face of extreme weather events.

Binah.ai is an AI-powered Health Data Platform that offers a software solution for video-based vital signs monitoring. The platform enables users to measure various health and wellness indicators using a smartphone, tablet, or laptop. It provides support for continuous monitoring through a raw PPG signal from external sensors and offers a range of features such as blood pressure monitoring, heart rate variability, oxygen saturation, and more. Binah.ai aims to make health data more accessible for better care at lower costs by leveraging AI and deep learning algorithms.

Noometic AI is an AI tool that helps users discover creators using natural language processing. It goes beyond traditional keyword searches by analyzing text, images, and videos with its proprietary RAG system. The tool aims to provide a scalable solution similar to what talent agents do intuitively, enabling users to perform creator search, content analysis, and brand safety research.

FlaiChat is a superpowered chat application designed for multilingual families and close-knit groups. It is an AI-enhanced chat app that aims to bring families together by offering features such as an AI assistant (FlaiBot), location sharing, task assignment, chat restoration, and threaded conversations. Users can easily start chatting by scanning a code without the need for a phone number. FlaiChat prioritizes user data safety by encrypting data in transit and at rest on servers, although it does not utilize end-to-end encryption. The application is available on iOS and Android, with plans for desktop and web versions in the future.

Betterhalf is an AI-powered platform that offers end-to-end wedding planning services in India. It combines AI matchmaking services with wedding planning expertise to help individuals plan their perfect weddings. The platform provides personalized proposals, exclusive deals, expert insights, and stress-free experiences to ensure a seamless wedding planning process. With a focus on safety and user experience, Betterhalf offers transparent pricing and customizable packages to suit different budgets and preferences. Whether it's venue booking, decorator booking, photographers, or mehendi artists, Betterhalf caters to all wedding planning needs, making it a one-stop solution for couples looking to create memorable wedding experiences.

Converge360 is a comprehensive platform that offers a wide range of AI news, training, and education services to professionals in various industries such as education, enterprise IT/development, occupational health & safety, and security. With over 20 media and event brands and more than 30 years of expertise, Converge360 provides top-quality programs tailored to meet the nuanced needs of businesses. The platform utilizes in-house prediction algorithms to gain market insights and offers scalable marketing solutions with cutting-edge technology.

Figure is a pioneering AI robotics company that is revolutionizing the industry by introducing a general-purpose humanoid robot to the market. The company is focused on giving artificial intelligence a physical body and integrating learning robots into the global workforce. By taking an AI-first approach, Figure aims to enhance human capabilities, address labor shortages, and improve workplace safety. The humanoid robot, Figure 02, combines human-like dexterity with cutting-edge AI technology to support various industries such as manufacturing, logistics, warehousing, and retail.

LetHub is an AI-powered leasing automation and scheduling tool designed for property management use cases. It streamlines property management operations for multi-family operators, optimizing multifamily management with self-tour enabled features. LetHub offers a robust scheduling engine, AI chatbot capabilities, and automation for capturing leads, nurturing prospects, and converting them into tenants. The tool enhances security with bank-level safety measures and provides features like automatic tour scheduling, two-way calendar sync, open house scheduling, lockbox integration, and more. LetHub aims to revolutionize property management by combining AI automation with a human touch, making the leasing process efficient and stress-free for property managers and tenants alike.

Ignota Labs is a technology company focused on rescuing failing drugs and bringing new life to abandoned projects, ultimately providing hope to patients. The company utilizes a proprietary AI model, SAFEPATH, which applies deep learning to bioinformatics and cheminformatics datasets to solve drug safety issues. Ignota Labs aims to identify promising drug targets, address safety problems in clinical trials, and accelerate the delivery of therapeutically effective drugs to patients.

Covera Health is a clinical intelligence platform that supports the end-to-end delivery of clinical-grade, AI-powered quality insights for providers and insurers. The platform is seamlessly integrated across the healthcare ecosystem to elevate everything from diagnosis and care coordination to prior authorization and claims administration. Covera Health is certified by AHRQ as a Patient Safety Organization to safeguard access to provider and patient data.

The European Agency for Safety and Health at Work (EU-OSHA) is an EU agency that provides information, statistics, legislation, and risk assessment tools on occupational safety and health (OSH). The agency's mission is to make Europe's workplaces safer, healthier, and more productive.

Voxel's Safety Intelligence Platform is an AI-driven site intelligence platform that empowers safety and operations leaders to make strategic decisions. It provides real-time visibility into critical safety practices, offers custom insights through on-demand dashboards, facilitates risk management with collaborative tools, and promotes a sustainable safety culture. The platform helps enterprises reduce risks, increase efficiency, and enhance workforce safety through innovative AI technology.

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.

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.

Visionify.ai is an advanced Vision AI application designed to enhance workplace safety and compliance through AI-driven surveillance. The platform offers over 60 Vision AI scenarios for hazard warnings, worker health, compliance policies, environment monitoring, vehicle monitoring, and suspicious activity detection. Visionify.ai empowers EHS professionals with continuous monitoring, real-time alerts, proactive hazard identification, and privacy-focused data security measures. The application transforms ordinary cameras into vigilant protectors, providing instant alerts and video analytics tailored to safety needs.

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

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.

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.

Co-op Translator is a tool designed to facilitate communication between team members working on cooperative projects. It allows users to easily translate messages and documents in real-time, enabling seamless collaboration across language barriers. The tool supports multiple languages and provides accurate translations to ensure clear and effective communication within the team. With Co-op Translator, users can improve efficiency, productivity, and teamwork in their cooperative endeavors.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

LionAGI is a powerful intelligent workflow automation framework that introduces advanced ML models into any existing workflows and data infrastructure. It can interact with almost any model, run interactions in parallel for most models, produce structured pydantic outputs with flexible usage, automate workflow via graph based agents, use advanced prompting techniques, and more. LionAGI aims to provide a centralized agent-managed framework for "ML-powered tools coordination" and to dramatically lower the barrier of entries for creating use-case/domain specific tools. It is designed to be asynchronous only and requires Python 3.10 or higher.

LLM Consortium is a plugin for the `llm` package that implements a model consortium system with iterative refinement and response synthesis. It orchestrates multiple learned language models to collaboratively solve complex problems through structured dialogue, evaluation, and arbitration. The tool supports multi-model orchestration, iterative refinement, advanced arbitration, database logging, configurable parameters, hundreds of models, and the ability to save and load consortium configurations.

OpenCat is an open-source Arduino and Raspberry Pi-based quadruped robotic pet framework developed by Petoi. It aims to foster collaboration in quadruped robotics research, education, and engineering development of agile and affordable quadruped robot pets. The project provides a base open source platform for creating programmable gaits, locomotion, and deployment of inverse kinematics quadruped robots, enabling simulations to the real world via block-based coding/C/C++/Python programming languages. Users have deployed various robotics/AI/IoT applications and the project has successfully crowdfunded mini robot kits, shipped worldwide, and established a production line for affordable robotic kits and accessories.

ATLAS (Adaptive Task & Logic Automation System) is a high-performance Model Context Protocol server designed for LLMs to manage complex task hierarchies. Built with TypeScript, it features ACID-compliant storage, efficient task tracking, and intelligent template management. ATLAS provides LLM Agents task management through a clean, flexible tool interface. The server implements the Model Context Protocol (MCP) for standardized communication between LLMs and external systems, offering hierarchical task organization, task state management, smart templates, enterprise features, and performance optimization.

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-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

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.

Film studio safety expert guiding on regulations and practices

Generates risk maps, emergency response plans and safety protocols for disaster management professionals.

Personal emergency preparedness advisor offering tailored advice and resources.

Expert in IATA DGR for Transportation of Dangerous Goods.

A specialized assistant for global road traffic rules and regulations.

Incident Command Training for residential fires.

Your expert on NEXCO Nagayoshi project.

Informative assistant for safety and emergency training.

Checking for safety in household items.

Informative and safety-focused guide on consumer product recalls.

Friendly advisor for workplace safety.

Safety-first expert on hydrogen practices.

Simplifying the BSA for your project. Created by www.arka.works

Get a detailed risk analysis for public relations, marketing, and internal communications, identifying challenges and negative impacts to refine your messaging strategy.

A liaison GPT for AI safety emergencies, connecting users to OpenAI experts.

Friendly guide for woodworking safety and best practices.

Up-to-date travel safety advisor using web data, avoids subjective advice.

Upload a site photo to assess the potential hazard and seek advises from experience AI Safety Officer

safety tips, gadgets and gear advice for all riders

Expert on OSHA standards, ideal for safety professionals.