Best AI tools for< Improve Your Interviewing Skills >

JobWhiz is an AI-powered job interview preparation platform that helps job seekers practice their interviewing skills and improve their chances of landing their dream job. With JobWhiz, users can access a library of over 500K interview questions, receive personalized coaching tips, and get instant feedback on their answers. JobWhiz is designed to be easy to use and fun, and it can be accessed from any device.

MyInterviewSkill is a gamified platform that offers AI-driven interview training to help users enhance their interview skills and boost their chances of landing their dream job. The platform provides personalized interview questions, tailored feedback, daily challenges, and interactive quests to make the preparation process engaging and effective. Users can earn experience points (XP), badges, and game credits as they progress through the training, ultimately improving their interview techniques and confidence.

CodeSignal is an AI-powered platform that helps users discover and develop in-demand skills. It offers skills assessments and AI-powered learning tools to help individuals and teams level up their skills. The platform provides solutions for talent acquisition, technical interviewing, skill development, and more. With features like pre-screening, interview assessments, and personalized learning, CodeSignal aims to help users advance their careers and build high-performing teams.

Character.ai is a website that offers a variety of AI-powered characters that can help you with a variety of tasks, from creative writing to brainstorming to language learning. The characters are designed to be helpful and engaging, and they can provide you with personalized assistance based on your needs. Character.ai is a great resource for anyone who wants to explore the potential of AI and see how it can be used to improve their lives.

Endorsed is an AI-powered recruiting tool that helps companies review job applications more efficiently and effectively. It integrates with your existing applicant tracking system (ATS) to provide you with a co-pilot that can help you screen and rank candidates, identify top talent, and make better hiring decisions. Endorsed uses machine learning to analyze candidate resumes and applications, and then ranks them based on your specific criteria. This helps you to identify the most qualified candidates quickly and easily, so you can spend less time reviewing applications and more time interviewing the best candidates.

CVViZ is a modern AI Recruiting Software that automates candidate sourcing, matches candidates to jobs, provides hiring insights, and enhances the quality of hire. It offers features like resume screening, applicant tracking system, recruitment CRM, candidate sourcing, resume parser integration, and employee referral. With AI technology, CVViZ simplifies the hiring process in three steps: posting jobs to multiple job sites, screening candidates using AI algorithms, and engaging and hiring the best candidates. It helps in finding the right candidates for the right job through AI-powered resume screening and automates workflows with recruitment automation. CVViZ also offers recruitment analytics, GDPR compliance, and video interviewing for a seamless hiring experience.

FCK.School is an online platform that provides AI-powered writing tools to help students with various aspects of their academic work, including creating outlines, generating essay conclusions, crafting thesis statements, and much more. It offers a range of tools such as paraphrasing, text generation, summarizing, grammar and punctuation correction, title generation, thesis statement generation, outline generation, intro generation, paragraph generation, and conclusion generation. FCK.School aims to improve writing skills, save time and effort, and enhance the quality of written content.

Textbuddy is an online writing editor that uses AI to analyze and improve your writing. It highlights potential flaws in your text, such as long sentences, complex words, formatting errors, passive voice, adverbs, filler and vague words. The tool also provides synonyms, CEFR language levels, its own readability score, text statistics, and a keyword list for your text. Textbuddy's AI writing assistant can help you with grammar, spelling, and punctuation, and can even (re-)write text in plain language. You can use the AI assistant to overcome writer's block, create headlines and summaries, paraphrase text, analyze text sentiment, or just let it write for you as a copywriting AI.

Helper Systems has developed technology that restores the trust between students who want to use AI tools for research and faculty who need to ensure academic integrity. With kOS (pronounced chaos), students can easily provide proof of work using a platform that significantly simplifies and enhances the research process in ways never before possible. Add PDF files from your desktop, shared drives or the web. Annotate them if you desire. Use AI responsibly, knowing when information is generated from your research vs. the web. Instantly create a presentation of all your resources. Share and prove your work. Try other cool features that offer a unique way to find, organize, discover, archive, and present information.

LangWatch is a monitoring and analytics tool for Generative AI (GenAI) solutions. It provides detailed evaluations of the faithfulness and relevancy of GenAI responses, coupled with user feedback insights. LangWatch is designed for both technical and non-technical users to collaborate and comment on improvements. With LangWatch, you can understand your users, detect issues, and improve your GenAI products.

Readyy is an AI-powered tool designed to help users improve their reading speed and comprehension. It offers free tools and a user-friendly dashboard to track progress. The tool leverages GPT artificial intelligence to ensure fresh tests and provides a global leaderboard for competitive practice. Readyy is beneficial for individuals of all ages, from early childhood development to adult literacy and cognitive aging. It emphasizes the importance of reading comprehension for cognitive growth, academic achievement, and critical thinking in the digital age.

Linguabot is an AI-powered language learning app that helps users improve their conversation skills. It uses natural language processing and machine learning to provide personalized feedback and exercises. Linguabot is designed to help users learn languages naturally and fluently.

Quotid is a language learning app that uses AI to generate daily lessons. The lessons are designed to be manageable and realistic, especially for those with busy schedules. The content is completely AI-generated, with all of the good, and some of the bad. The diversity of speech and topics makes it a very valuable language learning partner, best used as an addition to other efforts. Apart from the daily lesson, you can sign in, track your lesson history and revisit the vocabulary you covered so far.

Lycee AI is an AI-powered learning platform that provides interactive courses, hands-on exercises, and personalized feedback to help users master Artificial Intelligence and improve their productivity.

Voam is a productive AI platform that helps you to automate your tasks and improve your productivity. With Voam, you can create custom AI models to automate any task, from simple data entry to complex decision-making. Voam is easy to use and requires no coding experience. You can create an AI model in minutes and start automating your tasks right away.

Sebora is an AI-powered content generation tool that helps users create engaging and SEO-friendly blog posts, articles, and other written content. It offers a range of features to simplify the content creation process, including keyword generation, article drafting, image selection, scheduling, and publishing. Sebora integrates with WordPress, making it easy for users to publish their content directly to their website. It is suitable for a variety of users, including content marketers, small business owners, and digital marketing agencies.

DesignRoasts is a web-based tool that provides personalized AI insights to help you optimize your website or app. Simply upload a screenshot of your product and select your goal (e.g., increase conversions, improve onboarding, etc.), and DesignRoasts will generate a list of actionable feedback tailored to your specific needs. The feedback focuses on improving the user experience, visual design, copywriting, and more.

Laudio is an intelligent platform designed to help frontline leaders in health systems streamline their work and prioritize high-impact actions with their teams. By integrating essential workflows and leveraging AI technology, Laudio aims to drive large-scale change by saving time, standardizing best practices, and improving employee engagement and patient experience.

ELSA is an AI-powered English speaking coach that helps you improve your pronunciation, fluency, and confidence. With ELSA, you can practice speaking English in short, fun dialogues and get instant feedback from our proprietary artificial intelligence technology. ELSA also offers a variety of other features, such as personalized lesson plans, progress tracking, and games to help you stay motivated.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

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

AI Toolkit is a collection of community created scripts that leverage AI to improve your life. It includes tools like AI CLI for generating terminal commands from natural language queries, AI Commit for generating commit messages using LLMs, and Research Assistant for researching and summarizing information from multiple sources.

Winpilot is a tool that helps you remove bloatware, optimize your system, and improve your privacy. It has a hybrid web app foundation that allows you to remove AI features in Windows and provides you with access to various system information and settings. Winpilot can also be used to install and uninstall apps, change various settings, and access third-party plugins and scripts.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

The Prompt Fuzzer is an open-source tool that helps you assess the security of your GenAI application's system prompt against various dynamic LLM-based attacks. It provides a security evaluation based on the outcome of these attack simulations, enabling you to strengthen your system prompt as needed. The Prompt Fuzzer dynamically tailors its tests to your application's unique configuration and domain. The Fuzzer also includes a Playground chat interface, giving you the chance to iteratively improve your system prompt, hardening it against a wide spectrum of generative AI attacks.

CGraph is a cross-platform **D** irected **A** cyclic **G** raph framework based on pure C++ without any 3rd-party dependencies. You, with it, can **build your own operators simply, and describe any running schedules** as you need, such as dependence, parallelling, aggregation and so on. Some useful tools and plugins are also provide to improve your project. Tutorials and contact information are show as follows. Please **get in touch with us for free** if you need more about this repository.

Jupyter AI connects generative AI with Jupyter notebooks. It provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. Specifically, Jupyter AI offers: * An `%%ai` magic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPython kernel runs (JupyterLab, Jupyter Notebook, Google Colab, Kaggle, VSCode, etc.). * A native chat UI in JupyterLab that enables you to work with generative AI as a conversational assistant. * Support for a wide range of generative model providers, including AI21, Anthropic, AWS, Cohere, Gemini, Hugging Face, NVIDIA, and OpenAI. * Local model support through GPT4All, enabling use of generative AI models on consumer grade machines with ease and privacy.

Awesome-AI-SEO is a curated list of powerful AI tools and platforms designed to transform your SEO strategy. This repository gathers the most effective tools that leverage machine learning and artificial intelligence to automate and enhance key aspects of search engine optimization. Whether you are an SEO professional, digital marketer, or website owner, these tools can help you optimize your site, improve your search rankings, and increase organic traffic with greater precision and efficiency. The list features AI tools covering on-page and off-page optimization, competitor analysis, rank tracking, and advanced SEO analytics. By utilizing cutting-edge technologies, businesses can stay ahead of the competition by uncovering hidden keyword opportunities, optimizing content for better visibility, and automating time-consuming SEO tasks. With frequent updates, Awesome-AI-SEO is your go-to resource for discovering the latest AI-driven innovations in the SEO space.

Podwise is an AI knowledge management app designed specifically for podcast listeners. With the Podwise platform, you only need to follow your favorite podcasts, such as "Hardcore Hackers". When a program is released, Podwise will use AI to transcribe, extract, summarize, and analyze the podcast content, helping you to break down the hard-core podcast knowledge. At the same time, it is connected to platforms such as Notion, Obsidian, Logseq, and Readwise, embedded in your knowledge management workflow, and integrated with content from other channels including news, newsletters, and blogs, helping you to improve your second brain 🧠.

Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

Continue is an open-source autopilot for VS Code and JetBrains that allows you to code with any LLM. With Continue, you can ask coding questions, edit code in natural language, generate files from scratch, and more. Continue is easy to use and can help you save time and improve your coding skills.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=