Best AI tools for< Environmental Data Analyst >

DWE.ai is an AI-powered platform specializing in DeepWater Exploration. The platform offers cutting-edge marine optics for crystal clear underwater imaging data, empowering marine robotics, surface vehicles, aquaculture farms, and aerial drones with advanced mapping and vision capabilities. DWE.ai provides cost-effective equipment for monitoring subsea assets, conducting detailed inspections, and collecting essential environmental data to revolutionize underwater research and operations.

Climate Change AI is a global non-profit organization that focuses on catalyzing impactful work at the intersection of climate change and machine learning. They provide resources, reports, events, and grants to support the use of machine learning in addressing climate change challenges.

Terragentic is an AI-driven geospatial technology company that empowers sustainable resource management and transformative decision-making. They provide cutting-edge geospatial services, precise mapping, advanced data analytics, and innovative applications of artificial intelligence to solve complex challenges across diverse sectors. Terragentic is committed to environmental stewardship, ethical business practices, and delivering high-quality, AI-enhanced, accurate, and actionable geospatial intelligence to empower industries.

Global Plastic Watch (GPW) is a digital platform that maps the world's plastic pollution in near real-time using a unique combination of satellite imagery and artificial intelligence. It provides a comprehensive view of the global plastic waste crisis, including the location and size of plastic waste sites, the types of plastic waste, and the impact of plastic pollution on the environment and human health.

Green Cubes is an AI application that provides precise volume, complexity, and biodiversity indication of terrestrial areas at scale for Digital Reality and Sponsorship. It shapes the digital twin of nature, offering transparency and trust through Measure, Report, and Verification (MVR) using data collection, AI computation, and 3D visualization. Green Cubes enables corporations to sponsor nature impact with confidence and transparency, contributing to the preservation of biodiversity.

Greyparrot provides AI-powered waste analytics solutions for recycling facilities and packaging companies. Their AI waste analytics platform, Greyparrot Analyzer, uses cameras to track materials passing on conveyor belts and translates images into real-time insights on a live dashboard. Greyparrot Sync connects that live data stream to existing or new hardware and software. Greyparrot's AI identifies all of the waste objects found in global municipal recovery sites, with 67 waste categories and counting. Their AI waste analytics enable automation in sorting facilities and increase transparency at each stage of the global value chain.

Earth AI is a high-performance explorer for clean energy minerals, utilizing artificial intelligence to discover untapped critical metal deposits at half the cost and in a fraction of the time. The company works with mineral resource companies to improve their odds of success while keeping costs low, offering accurate AI-driven prospect detection, modular hardware, and streamlined operations. Earth AI's revenue model is independent of service profits, and their process is four times faster than traditional methods. The company partners with explorers and development companies to bring discovered deposits into production.

Trazable LifeCycle is a sustainability software designed to measure, improve, and report the sustainability of companies. It simplifies the process of measuring and reporting environmental impact by providing tools to create process maps, add environmental impact data, and generate key sustainability indicators. The software is tailored for the food industry, offering over 50 million industry-specific data points to aid in decision-making and compliance with sustainability regulations. Trazable LifeCycle ensures data validity by using constantly updated and validated datasets, allowing users to measure both product and organizational carbon footprints.

LAION is a non-profit organization that provides datasets, tools, and models to advance machine learning research. The organization's goal is to promote open public education and encourage the reuse of existing datasets and models to reduce the environmental impact of machine learning research.

Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform offers insights into changes in marine infrastructure, renewable energy infrastructure, and tree cover on a monthly basis. Users can explore maps showcasing developments such as wind farms, solar farms, deforestation, and more. Satlas employs advanced AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images globally. The platform's geospatial datasets are freely available for offline analysis, along with AI models and training labels. Developed by the Allen Institute for AI, Satlas aims to advance computer vision technology for better understanding and monitoring of Earth's changes.

Climate Policy Radar is an AI-powered application that serves as a live, searchable database containing over 5,000 national climate laws, policies, and UN submissions. The app aims to organize, analyze, and democratize climate data by providing open data, code, and machine learning models. It promotes a responsible approach to AI, fosters a climate NLP community, and offers an API for organizations to utilize the data. The tool addresses the challenge of sparse and siloed climate-related information, empowering decision-makers with evidence-based policies to accelerate climate action.

The Value Chain Generator® is an AI & Big Data platform for circular bioeconomy that helps companies, waste processors, and regions maximize the value and minimize the carbon footprint of by-products and waste. It uses global techno-economic and climate intelligence to identify circular opportunities, match with suitable partners and technologies, and create profitable and impactful solutions. The platform accelerates the circular transition by integrating local industries through technology, reducing waste, and increasing profits.

Telborg is an AI-powered platform that provides daily climate news from verified sources such as startups, corporates, governments, and think tanks. It offers insights on AI and robotics in climate action, climate finance mechanisms, carbon removal technologies, renewables, hydrogen production, government actions, nuclear and geothermal energy advancements, bio-based innovations, sustainable materials, and critical minerals. Telborg features concise news summaries written by AI, real-time updates, affordable subscription plans, and a wide range of climate-related topics. Users can access CEO-level intelligence, advanced search filters, full archive access, and priority support. The platform covers global climate policies, carbon removal initiatives, and climate tech investments.

Bayanat is an AI-powered geospatial intelligence company that offers predictive intelligence solutions, smart operations solutions, and smart mobility solutions to various sectors such as defense, environment, energy & resources, smart cities, and transportation. With over 50 years of experience, Bayanat provides high-quality geospatial data, geo-intelligence, and AI-powered data analytics to drive human progress and create game-changing advantages for its clients in the UAE, the Middle East, and beyond.

PROTECTSTAR is an AI-powered cybersecurity application that offers Secure Erasure, Anti Spy, Antivirus AI, and Firewall AI features to protect users from cyber threats. With a focus on privacy and security, PROTECTSTAR aims to provide innovative products using Artificial Intelligence technology. The application has been trusted by over 7 million satisfied users globally and is known for its outstanding detection rate of 99.956%. PROTECTSTAR is committed to environmental sustainability and energy efficiency, as evidenced by its dark mode feature to reduce energy consumption and become CO2-neutral.

Picterra is a geospatial AI platform that offers reliable solutions for sustainability, compliance, monitoring, and verification. It provides an all-in-one plot monitoring system, professional services, and interactive tours. Users can build custom AI models to detect objects, changes, or patterns using various geospatial imagery data. Picterra aims to revolutionize geospatial analysis with its category-leading AI technology, enabling users to solve challenges swiftly, collaborate more effectively, and scale further.

Climate Change AI is a community platform dedicated to leveraging artificial intelligence to address the challenges of climate change. The platform serves as a hub for researchers, practitioners, and policymakers to collaborate, share knowledge, and develop AI solutions for mitigating the impacts of climate change. By harnessing the power of AI technologies, Climate Change AI aims to accelerate the transition to a sustainable and resilient future.

GeoSpy.ai is a web-based geospatial intelligence platform that provides users with access to a variety of geospatial data and tools. The platform allows users to create and share maps, analyze data, and collaborate with others. GeoSpy.ai is used by a variety of professionals, including law enforcement, intelligence analysts, and environmental scientists.

Rapid Editor is an advanced mapping tool that revolutionizes map editing by integrating cutting-edge technology and authoritative geospatial open data. It empowers OpenStreetMap mappers of all levels to quickly make accurate and fresh edits to maps. The tool saves users effort by tapping into open data and AI-predicted features to draw map geometry. With AI-analyzed satellite imagery, users get a high-level overview of unmapped areas globally. Rapid displays open map data and machine learning detections through an intuitive user interface, making mapping clear and simple. It is a valuable tool for humanitarian and community groups involved in mapping projects.

Minimap.ai is an innovative AI-powered tool designed to provide users with detailed and accurate maps for various purposes. The tool utilizes advanced artificial intelligence algorithms to analyze and process geographical data, enabling users to generate customized maps quickly and efficiently. With Minimap.ai, users can create maps for navigation, urban planning, disaster management, and other applications with ease. The tool offers a user-friendly interface and a wide range of features to cater to different mapping needs.

AirCasting is a platform for gathering, visualizing, and sharing environmental data. It aims to provide a central hub for environmental data, making it easier for people to access and use this information to make informed decisions about their environment.

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.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

The Conversation Knowledge Mining Solution Accelerator enables customers to leverage intelligence to uncover insights, relationships, and patterns from conversational data. It empowers users to gain valuable knowledge and drive targeted business impact by utilizing Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and Azure Search for topic modeling, key phrase extraction, speech-to-text transcription, and interactive chat experiences.

This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for **fast prototyping** and **prompting** , and turning unstructured responses into **robust outputs** for various NLP tasks, **no training data** required. It supports open-source LLMs hosted on Hugging Face 🤗: Falcon, Dolly, Llama 2, OpenLLaMA, StableLM, Mistral. Integration with LangChain 🦜️🔗 - all `langchain` models and features can be used in `spacy-llm`. Tasks available out of the box: Named Entity Recognition, Text classification, Lemmatization, Relationship extraction, Sentiment analysis, Span categorization, Summarization, Entity linking, Translation, Raw prompt execution for maximum flexibility. Soon: Semantic role labeling. Easy implementation of **your own functions** via spaCy's registry for custom prompting, parsing and model integrations. For an example, see here. Map-reduce approach for splitting prompts too long for LLM's context window and fusing the results back together

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

Air Quality Info is a PHP-based page that displays current PM10 and PM2.5 measurements from Sensor.Community-compatible devices. It features a clean interface, stores records in MySQL, renders graphs with ChartJS, supports multiple devices, offers locale support, and functions as a Progressive Web App. The project setup involves creating directory structures, setting permissions, and starting Docker containers. The admin dashboard is accessible at http://aqi.eco.localhost:8080/, while the Air Quality Info pages use a specific naming schema. The project is supported by Nettigo Air Monitor, Sensor.Community, and a forum thread in Polish.

HEC-Commander Tools is a suite of python notebooks developed with AI assistance for water resource engineering workflows, focused on providing automation for HEC-RAS and HEC-HMS through Jupyter Notebooks. It contains automation scripts for HEC-HMS and HEC-RAS, tools for plotting results, and miscellaneous scripts for workflow assistance. The repository also includes blog posts, ChatGPT assistants, and presentations related to H&H modeling and the use of LLM's for water resources workflows.

AireLibre is a community response to the need for freely, collaboratively, and decentralized air quality information. It includes projects like Red Descentralizada de Aire Libre (ReDAL), Linka, Linka Firmware, LinkaBot, AQmap, and Android/iOS apps. Users can join the network with a sensor communicating with Linka. Materials and tools are needed to build a sensor. The initiative is decentralized and open for community collaboration. Users can extend or add projects to AireLibre. The license allows for creating personal networks. AireLibre is not for professional/industrial/scientific/military use, and the sensors are not calibrated in Switzerland.

HEC-Commander Tools is a suite of python notebooks developed with AI assistance for water resource engineering workflows, providing automation for HEC-RAS and HEC-HMS through Jupyter Notebooks. It contains automation scripts for HEC-HMS, HEC-RAS, and DSS, along with miscellaneous tools. The repository also includes blog posts, ChatGPT assistants, and presentations related to H&H modeling and water resources workflows. Developed to support Region 4 of the Louisiana Watershed Initiative by Fenstermaker.

Awesome Green AI is a curated list of resources and tools aimed at reducing the environmental impacts of using and deploying AI. It addresses the carbon footprint of the ICT sector, emphasizing the importance of AI in reducing environmental impacts beyond GHG emissions and electricity consumption. The tools listed cover code-based tools for measuring environmental impacts, monitoring tools for power consumption, optimization tools for energy efficiency, and calculation tools for estimating environmental impacts of algorithms and models. The repository also includes leaderboards, papers, survey papers, and reports related to green AI and environmental sustainability in the AI sector.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Expert in diverse environmental data analysis and reporting.

Expert in environmental justice data, with specific response criteria.

Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.

Especialista em dados de pós-graduação em Ciências Ambientais do Brasil.

AquaAirAI is a specialized assistant that compares air and water quality across cities and regions, providing insightful reports and recommendations based on comprehensive environmental data analysis from Excel files.

你可以投喂自己的考研资料，这样可以保证更准确地回答。

Hi ;) Ask me for data & insights gathered from an environmentally aware global community

Expert in climate policy, data analysis, roadmaps, and socio-economic impacts, providing up-to-date news and insights

I'm Burning Earth, alarming users about environmental harm and climate change. Powered by Breebs (www.breebs.com)

The pressing environmental issues we face today require novel approaches and technological advancements to effectively mitigate their impacts. GaiaAI offers a range of tools and modes to promote sustainable practices and enhance environmental stewardship.

I'm Amelia, versatile in discussing Environmental science.

Expert in LAStools with in-depth command line knowledge.

Especialista em dados de Engenharia Sanitária.

Analytics | Strategies | Frameworks

I'm here to assist with ESG reporting! Let's make sustainability reporting efficient and insightful. 📈🌎

Assists with ROMS and COAWST modeling in Linux environments.

Expert in Maritime Conservation & Drone Technology.

Oarai's expert on waste sorting and weather.

Your expert in meteorology, atmospheric science, and related physics/mathematics.

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