Best AI tools for< analyze job data >

Taylor is an AI tool designed to wrangle text by building powerful pipelines that structure, categorize, and extract entities from text data. It is used for external data processing, user-generated content processing, and processing third-party data. Taylor is particularly beneficial for HR Tech companies to structure job data for job boards, talent acquisition analytics, and compensation benchmarking products.

Somoon.ai is an AI-powered platform that specializes in analyzing job postings from both startups and large corporations to provide tailored analysis services. With accumulated insights from 525 companies and 39,764 job postings, Somoon.ai offers curated content related to SaaS, domestic game companies, startups, AI companies, well-known corporations, and more. The platform aims to accelerate digital transformation, enhance productivity, and efficiency in businesses by offering innovative solutions and services.

Resume Matcher is a free open-source Applicant Tracking System (ATS) tool that helps users tailor their resumes to job descriptions. Powered by Machine Learning and Natural Language Processing, it compares resumes to various job descriptions, providing insights to make informed decisions. The platform offers data visualizations, text similarity analysis, and plans to incorporate advanced features like Vector Similarity. With a user-friendly interface and a focus on empowering developers, Resume Matcher aims to simplify resume creation and accelerate job searches.

Jobscan is a comprehensive job search tool that helps job seekers optimize their resumes, cover letters, and LinkedIn profiles to increase their chances of getting interviews. It uses artificial intelligence and machine learning technology to analyze job descriptions and identify the skills and keywords that recruiters are looking for. Jobscan then provides personalized suggestions on how to tailor your application materials to each specific job you apply for. In addition to its resume and cover letter optimization tools, Jobscan also offers a job tracker, a LinkedIn optimization tool, and a career change tool. With its powerful suite of features, Jobscan is an essential tool for any job seeker who wants to land their dream job.

Flavored Resume is an AI-powered resume optimization tool that helps job seekers tailor their resumes to specific job descriptions. It utilizes AI to analyze job descriptions and industry trends, enhancing resumes with targeted keywords and improving resume structure and readability for easy Applicant Tracking System (ATS) parsing. Flavored Resume provides a user-friendly web platform for instant resume edits, making it easy for job seekers to customize their resumes without the need for professional writers.

Jobs-Scout is an AI-powered job search engine that helps you find your dream job. With Jobs-Scout, you can search for jobs by keyword, location, and industry. You can also filter your search results by salary, experience, and education level. Jobs-Scout also provides personalized job recommendations based on your skills and interests.

Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.

AI Interview Copilot is the ultimate AI-powered job interview assistant that provides voice transcription, image and screenshot recognition, easy management, accurate answers, and algorithm problem-solving capabilities. It supports 57 languages and offers seamless integration with various devices for a stress-free interview experience. The application aims to assist users in tackling technical interview questions, providing quick responses, and generating code snippets in real-time.

AutoJobs is an AI-powered tool designed to streamline the job application process. It leverages artificial intelligence to automatically apply to job listings on behalf of users, saving time and effort. By analyzing job requirements and user profiles, AutoJobs matches candidates with suitable positions and submits applications seamlessly. With a user-friendly interface, it offers a convenient solution for job seekers looking to increase their chances of landing interviews and job offers.

Kadoa is an AI web scraper tool that extracts unstructured web data at scale automatically, without the need for coding. It offers easy integration, automated extraction and transformation of data, high accuracy, and scalability. Kadoa is trusted by various industries for real-time monitoring, lead generation, job postings, media monitoring, and more. The platform provides a seamless experience for users to streamline data workflows, increase efficiency, and stay ahead of the market.

Browse AI is an AI-powered tool that allows users to easily extract and monitor data from any website without the need for coding. With prebuilt robots and over 7,000 integrations, users can train robots in minutes to extract specific data, monitor changes, and automate tasks. The tool offers features like data extraction, monitoring, prebuilt robots for popular use cases, and integration with various applications. Browse AI is trusted by over 370,000 individuals and teams for its ease of use, efficiency, and time-saving capabilities.

Maching.ai is an AI-powered job matching platform that leverages artificial intelligence to connect job seekers with suitable job opportunities. The platform utilizes advanced algorithms to analyze user profiles and job requirements, providing personalized recommendations for job fields. Users can interact with the AI chatbot to receive job field suggestions or manually browse through job listings. Maching.ai aims to streamline the job search process by offering tailored job matches based on individual preferences and qualifications.

Interview Igniter is an AI-powered platform that provides job seekers with a robust interview simulation to fine-tune their skills, adapt to their learning curve, and get detailed feedback. It offers a comprehensive question bank, including industry-specific questions and actual interview questions asked by leading tech companies like Google, Facebook, Apple, and Amazon. Interview Igniter also provides a coding interview tool for practicing and improving coding skills, with interactive guidance and tailored learning experiences. The platform utilizes Conversation Intelligence tools for analyzing communication in real-time and providing nuanced feedback. Interview Igniter was created by Vidal Graupera, a former engineering manager at LinkedIn and Uber with over 20 years of experience hiring.

Coursera is an online learning platform that offers courses, specializations, and degrees from top universities and companies. It provides a wide range of courses in various fields, including data science, business, computer science, health, social sciences, personal development, arts and humanities, physical science and engineering, language learning, information technology, and math and logic. Coursera also offers professional certificates and degrees that can help learners advance their careers. The platform has over 124 million users and collaborates with over 325 leading universities and companies.

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.

Remo is an all-in-one virtual event platform designed to host immersive online events with real connections and engagement. It offers a variety of features to humanize the online experience, such as virtual networking, webinar presentations, conversation modes, and floor plans. With Remo, organizers can create events that feel as real as face-to-face meetings, allowing attendees to move freely, engage in meaningful conversations, and switch between different event formats seamlessly. The platform also provides tools for event management, analytics, and post-event data analysis to enhance the effectiveness of virtual events.

AltIndex is an AI-powered investment analysis platform that provides unique AI stock picks, stock alerts, and alternative insights to help users make better investment decisions. The platform goes beyond traditional financial data by integrating various alternative data points such as job postings, website traffic, customer satisfaction, app downloads, and social media trends. AltIndex offers impactful insights and alerts, cutting-edge solutions to stay informed about companies in your portfolio, and advanced algorithms for real-time investment decision-making.

Reloc.tech is an AI-powered platform designed to assist tech talents in relocating globally by providing valuable resources, job opportunities, and information on European tech hubs. The platform streamlines the job search process by connecting software engineers, product managers, and UI/UX designers with roles offering work visa sponsorship. It aims to address the tech talent shortage and help individuals navigate the complexities of relocating for a rewarding career journey.

AI Just Works is an AI-powered platform that showcases a variety of AI applications across different domains such as financial research, job search, creative tools, game, credit card management, text analytics, product development, sales demos, screen time management, data integration, trip planning, education, health & fitness, movie discovery, AI collaboration, and more. The platform serves as a hub for users to explore and discover innovative AI tools to enhance productivity and efficiency in various tasks and industries.

MrRamaAI is an AI tool that provides news, updates, trends, and courses related to Artificial Intelligence in 2024. The platform offers insights into the advancements and predictions in the field of AI, as well as practical tools like LoopCV for job seekers. Users can also find resources for crafting social media posts, music generation, cybersecurity solutions, and more. MrRamaAI aims to empower individuals with knowledge and tools to leverage AI technologies effectively in various domains.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

This repository codifies the Airflow cluster that is deployed at workflow.telemetry.mozilla.org (behind SSO) and commonly referred to as "WTMO" or simply "Airflow". Some links relevant to users and developers of WTMO: * The `dags` directory in this repository contains some custom DAG definitions * Many of the DAGs registered with WTMO don't live in this repository, but are instead generated from ETL task definitions in bigquery-etl * The Data SRE team maintains a WTMO Developer Guide (behind SSO)

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

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.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

This repository provides sample applications and tutorials to showcase the power of Amazon Bedrock with Python. It helps Python developers understand how to harness Amazon Bedrock in building generative AI-enabled applications. The resources also demonstrate integration with vector databases using RAG (Retrieval-augmented generation) and services like Amazon Aurora, RDS, and OpenSearch. Additionally, it explores using langchain and streamlit to create effective experimental applications.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

High Performance LLMs 2024 is a comprehensive course focused on building a high-performance Large Language Model (LLM) from scratch using Jax. The course covers various aspects such as training, inference, roofline analysis, compilation, sharding, profiling, and optimization techniques. Participants will gain a deep understanding of Jax and learn how to design high-performance computing systems that operate close to their physical limits.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

WildBench is a tool designed for benchmarking Large Language Models (LLMs) with challenging tasks sourced from real users in the wild. It provides a platform for evaluating the performance of various models on a range of tasks. Users can easily add new models to the benchmark by following the provided guidelines. The tool supports models from Hugging Face and other APIs, allowing for comprehensive evaluation and comparison. WildBench facilitates running inference and evaluation scripts, enabling users to contribute to the benchmark and collaborate on improving model performance.

AI is an open-source Swift framework for interfacing with generative AI. It provides functionalities for text completions, image-to-text vision, function calling, DALLE-3 image generation, audio transcription and generation, and text embeddings. The framework supports multiple AI models from providers like OpenAI, Anthropic, Mistral, Groq, and ElevenLabs. Users can easily integrate AI capabilities into their Swift projects using AI framework.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

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, ...

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.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Wertet Lebenslauf und Stellenanzeige aus und simuliert ein Vorstellungsgespräch mit anschließender Auswertung: Lebenslauf und Anzeige einfach hochladen und starten.

I provide monthly salary data in euros, using a structured format for global job roles.

Map or simulate a scenario real time analyze probability of a life event coming true based on circumstances

Experto en marketing digital, asesora en inglés

Chat with my resume to see if I am a good fit for your AI related job.

Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.

Assistente de Dados de Pós-Graduação em Ciências Biológicas

A visionary and innovative recruitment mentor for creative problem-solving and personal growth.

Concise Step-by-Step Strategist

Crafts formal, structured job statements in Japanese.

Assists in resume review and interview question creation based on job description.

提供针对岗位职责和任职要求的深度分析，推断求职可能遇到的问题、面试可能的问题及答案。

Tracking executive resignations and hires in public companies

Performs detailed SWOT analysis of CVs against Job Descriptions.

Word detective, clear the perspective! 文字侦探，认真断案！如果运转出错，对他说：do your job!

デジタル テキストを除く、手書きの筆圧を分析して性格特性を推測します。(Analyzes handwriting pressure to infer personality traits, excluding digital text.)

Instant analysis of uploaded social media profile appearances. Just upload a screenshot or picture.

Expert in scriptwriting, assessments, and educational insights.

Grants all wishes and answers any questions a recruiter may have during any phase of the process

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