Best AI tools for< Carbon Analyst >

Cybertiks is an AI-powered application that offers remote monitoring and analysis of agriculture fields using satellite imagery. The application provides valuable insights such as soil nutrients and texture, tailored AI models for accurate metrics, historical data analysis, and visualization of results on a map. Cybertiks integrates various sources of information, offers tailored solutions for clients, and uses quantum-enabled artificial intelligence for material detection and classification. The application is designed to meet the needs of diverse industries worldwide by harnessing the power of satellite imagery and AI technology.

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

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.

Proxy is an AI-powered platform that focuses on utility scale renewables projects. It aims to automate renewable energy projects to power communities, businesses, and homes. Proxy provides intelligent financing solutions, project coordination services, and energy market integrations to streamline the process of generating renewable power. As an innovation partner with the U.S. Department of Energy, Proxy is committed to offsetting carbon emissions and making a significant impact on the environment.

Greenbids is an AI application designed to minimize inefficiencies and enhance media performance in digital advertising, contributing to decarbonization efforts. By utilizing Machine Learning, Greenbids saves 1000 tons of CO2 every month and drives sustainable media effectiveness across the advertising ecosystem. The platform offers a unique solution to decrease ads' carbon footprint, with an average carbon intensity reduction of 36% and a 27% increase in media effectiveness. Greenbids aims to address the environmental impact of programmatic advertising by providing a more sustainable and efficient alternative.

Sympher AI offers a suite of easy-to-use AI apps for everyday tasks. These apps are designed to help users save time, improve productivity, and make better decisions. Some of the most popular Sympher AI apps include: * **MeMyselfAI:** This app helps users create personalized AI assistants that can automate tasks, answer questions, and provide support. * **Screenshot to UI Components:** This app helps users convert screenshots of UI designs into code. * **User Story Generator:** This app helps project managers quickly and easily generate user stories for their projects. * **EcoQuery:** This app helps businesses assess their carbon footprint and develop strategies to reduce their emissions. * **SensAI:** This app provides user feedback on uploaded images. * **Excel Sheets Function AI:** This app helps users create functions and formulas for Google Sheets or Microsoft Excel. * **ScriptSensei:** This app helps users create tailored setup scripts to streamline the start of their projects. * **Flutterflow Friend:** This app helps users answer their Flutterflow problems or issues. * **TestScenarioInsight:** This app generates test scenarios for apps before deploying. * **CaptionGen:** This app automatically turns images into captions.

DMSLOG.Ai is an AI tool designed for Smart Port terminal optimization, decongestion, and decarbonation. It offers solutions powered by AI, machine learning, and digital twins to transform container terminals into Smart Ports, providing quick ROI, decongestion, and decarbonation. The tool is used globally on a daily basis, offering plug-and-play AI solutions for various terminal operations and carbon footprint monitoring.

Telborg is an AI-powered platform that provides daily climate news sourced from verified entities such as companies, governments, international institutions, think tanks, and universities. It offers insights on carbon removal technologies, climate finance, renewables, and synthetic fuels. Telborg stands out for its concise AI-generated summaries, real-time updates via WhatsApp, and direct source links. The platform covers global news comprehensively, making it a valuable resource for staying informed about climate-related developments.

Altana is a dynamic, intelligent, universal map of the global supply chain that offers unprecedented visibility and AI-powered insights to help users focus on critical business needs. It provides collaborative workflows for managing extended supplier and customer networks, applying AI to a vast network of supply chain data. Altana is trusted by governments, logistics providers, and major businesses worldwide for compliance, carbon management, procurement, insurance, and more.

Refabric is an AI-powered design platform at the intersection of AI and fashion design. It offers innovative solutions for the fashion industry by leveraging advanced technologies such as machine learning and data analytics. Refabric helps fashion retailers achieve carbon neutrality, adhere to environmental standards, and transform the way fashion is designed, produced, and consumed. The platform provides trend forecasting, creative support, and sustainability solutions to address the evolving challenges in the global fashion industry.

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.

Derwen is an open-source integration platform for production machine learning in enterprise, specializing in natural language processing, graph technologies, and decision support. It offers expertise in developing knowledge graph applications and domain-specific authoring. Derwen collaborates closely with Hugging Face and provides strong data privacy guarantees, low carbon footprint, and no cloud vendor involvement. The platform aims to empower AI engineers and domain experts with quality, time-to-value, and ownership since 2017.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

HeroGPT is an AI marketing companion that leverages AI-powered solutions to optimize business strategies. It offers advanced technology for marketing professionals to enhance campaigns, create engaging content, and stay ahead of industry trends. HeroGPT is part of Stripe Climate, contributing to carbon removal efforts and promoting sustainability. Additionally, HeroGPT Special provides training programs to equip AIs with marketing skills, ensuring brands achieve marketing excellence.

Gensbot is an innovative platform that empowers users to create personalized goods on demand. By leveraging advanced AI technology, Gensbot eliminates the hassle of searching, stressing, or second-guessing, offering a seamless and convenient online shopping experience. Users can simply prompt the AI with their desired product specifications, and Gensbot will generate unique designs tailored to their preferences. This user-centric approach extends to the production process, where Gensbot prioritizes local manufacturing to minimize shipping distances and carbon emissions, contributing to a greener planet. Additionally, Gensbot rewards users with tokens for every purchase, which can be redeemed for future designs or exclusive offers, fostering a sustainable and rewarding shopping experience.

Solaya is a Generative AI tool designed for E-commerce brands to autonomously produce high-quality product content at a reduced cost. It streamlines eCommerce content production through an automated workflow, leading to a swift online time to market for products with fewer errors. Additionally, Solaya offers a carbon-friendly solution, helping brands improve efficiency in eCommerce content production.

Supavec is an open-source tool that serves as an alternative to Carbon.ai. It allows users to build powerful RAG applications using any data source and at any scale. The tool is designed to provide a simple API endpoint for easy integration and usage. Supavec is built with Next.js, Supabase, Tailwind CSS, Bun, and Upstash, offering a robust and flexible solution for application development. Users can refer to the API documentation for detailed information on how to utilize the tool effectively.

Findto is a decentralized search tool for the Web and AI that puts people in control of algorithms. It aims to provide a better search experience by offering diverse sources, privacy and carbon level information, trends exploration, autosuggest, voice search, and more. Findto encourages a free search experience and promotes a healthier internet by empowering users with democratic choices.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

This repository focuses on organizing resources for building synthetic datasets using large language models. It covers important datasets, libraries, tools, tutorials, and papers related to synthetic data generation. The goal is to provide pragmatic and practical resources for individuals interested in creating synthetic datasets for machine learning applications.

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

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.

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.

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.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

Focused adviser on carbon project methodologies and markets.

Your AI assistant for assessing environmental footprints!

Carbon footprint calculations breakdown and advices on how to reduce it

Let's calculate the carbon footprint of your building!

Track & analyze your carbon footprint with ease! EcoTracker Pro helps you make eco-friendly choices & reduce your impact. 🌎♻️

Expert on Article 6 negotiations and implementation, adaptable in response length and complexity.

Un GPT qui produit du CO2 et du CH4

Fornisce template per calcolare emissioni da A a B.

ISO 14064 standards and carbon management expert

Your eco-friendly aide for sustainable living! 🌟 Offers insights on renewable energy sources, tips for reducing carbon footprint, and green tech trends. 🌍

I'm an Environmental Impact Analyzer, here to calculate and reduce your carbon footprint.

Your guide to the environment and reducing carbon footprints.

Eco-conscious travel planner with sequential visuals and carbon insights.

I help calculate and reduce your personal environmental footprint.

Provides concise climate strategy advice, tailored to user needs.

Expert in driving profitability through sustainability.

Expert in sustainability and ESG practices, providing informative advice and insights.

New Earth Score

I help you evolve your habits and processes to preserve the habitability of the earth and much more

Your personal guide to making a difference in the climate crisis