Best AI tools for< Prepare Interview >

Resume Worded is an AI-powered platform that provides instant feedback on your resume and LinkedIn profile. It helps you tailor your resume to specific job descriptions, optimize your LinkedIn profile, and get more interviews and job offers. Resume Worded has been used by over 1 million job seekers around the world and has helped hundreds of people land jobs at top companies like PwC, Google, Amazon, and Credit Suisse.

CovrLtr is an AI-powered tool designed to help users create tailored cover letters and interview questions and answers for job applications. The platform utilizes the latest AI models to save users time and enhance their job application process. With a focus on customer satisfaction, CovrLtr offers expertise in various areas such as web design, digital marketing, e-commerce, and branding services.

The Software Engineer Interview Questions Generator is an AI-powered tool that helps software engineers prepare for interviews by generating a wide range of technical questions related to various programming languages, frameworks, databases, and cloud services. Users can select specific topics of interest and customize the number of questions to generate. The tool leverages advanced natural language processing capabilities to provide relevant and challenging interview questions, making it a valuable resource for job seekers in the tech industry.

AI Interview Answers Generator is an innovative tool designed to assist individuals in acing their job interviews by providing real-time voice transcription, instant optimal solutions, and industry-specific knowledge base. The tool acts as a virtual copilot during interviews, ensuring users have access to relevant and up-to-date information to stand out among other candidates. With cutting-edge AI technology, users can confidently navigate through technical questions and showcase their skills effectively.

This website provides AI-powered interview practice tools to help job seekers prepare for and ace their interviews. The platform offers a range of features, including personalized interview questions, mock interviews with AI-powered feedback, and access to a library of interview resources.

Interview Coder is an undetectable desktop application designed to assist users in solving coding problems for technical interviews. It features robust undetectability capabilities, detailed solution reasoning, and webcam monitoring. The application provides a platform for capturing coding problems, generating solutions, debugging, and optimizing code. Interview Coder aims to help users articulate their solution approaches convincingly and optimize their coding solutions efficiently.

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Stark.ai is an AI-powered job search tool that revolutionizes the way job seekers navigate their professional journey. It offers a range of features such as Resume Builder, Career Guru AI insights, Job Match Score, ATS Friendliness Check, and Skill Builder to help users enhance their skills, optimize their resumes, and streamline their job search process. Stark.ai empowers users to get noticed, get hired faster, and transform their careers with AI-driven precision.

InterviewPlus is an AI-powered platform designed to help users prepare for interviews by offering mock interviews, questions, and answers tailored to various professions. Users can create customized interviews, receive interview-specific tips, and access useful information to enhance their interview performance. The platform covers a wide range of professions, including Information Technology, Business & System Analyst, Database Administration, Network Administration, Product & Project Management, Testing & Quality Assurance, Cyber Security & Compliance, Management & Leadership, and many others. InterviewPlus also provides real-time feedback from AI models, allowing users to practice and refine their interview skills effectively.

Leetcode Wizard is a desktop application designed to assist users in coding interviews by providing solutions for any Leetcode problem, known or unknown. It aims to help users achieve success in coding interviews, particularly at top tech companies like FAANG. The application uses AI to analyze coding problems, suggest algorithms, generate code output, and provide a complexity analysis. Leetcode Wizard is built with a privacy-first mindset, ensuring undetectable operation during coding interviews.

Pgrammer is an AI-powered platform designed to help users practice coding interview questions with personalized hints and analysis. Unlike traditional methods like LeetCode, Pgrammer offers a diverse set of questions for over 20 programming languages, real-time hints, and solution analysis to enhance users' coding skills and confidence. The platform utilizes AI, specifically GPT-4, to provide a tailored learning experience and feedback to users, ensuring they are well-prepared for coding interviews.

Canyon is an all-in-one platform that helps job seekers perfect their resumes, apply to more jobs, and ace their interviews. It offers a range of AI-powered tools, including an AI Resume Builder, Canyon Resume Score, Autofill Job Applications with One Click, Manage Job Applications, and AI Mock Interview. With Canyon, job seekers can build outstanding resumes, optimize their applications for each job, and practice their interviewing skills.

EarnBetter is an AI-powered platform that offers assistance in creating professional resumes, cover letters, and job search support. The platform utilizes artificial intelligence to rewrite and reformat resumes, generate tailored cover letters, provide personalized job matches, and offer interview support. Users can upload their current resume to get started and access a range of features to enhance their job search process. EarnBetter aims to streamline the job search experience by providing free, unlimited, and professional document creation services.

CoverDoc.ai is an AI-powered tool that helps job seekers write compelling cover letters, ace interviews, and negotiate like a pro. It uses AI to generate personalized cover letters based on your work experience and the job you're applying for. CoverDoc.ai also provides company insights, interview prep, and compensation evaluations to help you land your dream job faster.

FirstResume is an AI-powered application designed to help users land their dream job by providing comprehensive resume optimization, cover letter generation, email outreach, interview preparation, and job-specific concept explanations. The tool tailors applications for each specific job, ensuring users stand out in the competitive job market. With features like AI Resume Builder, Cover Letter Generator, Email Writer, Interview Assistant, and Job Application Tracker, FirstResume streamlines the job application process and boosts users' chances of securing interviews.

Behired is an AI-powered job application tool designed to help job seekers create compelling cover letters, tailored resumes, and prepare for interviews. By analyzing job offers and resumes, it generates personalized content and provides job match analysis. The tool aims to save time, increase job search effectiveness, and help users stand out in a competitive job market.

Audo is an AI-powered career concierge platform designed to help individuals navigate their career paths, master in-demand skills, and secure their dream jobs. The platform offers a range of tools and resources, including personalized career guidance, resume building assistance, job matching services, skill development courses, and AI interview preparation. Audo aims to simplify the job search process and empower users to unlock their full potential in the professional world.

Soul Machines is an AI application that offers personalized AI Assistants to help users prepare for interviews, practice languages, rehearse presentations, and more. Users can interact with AI Assistants in a pressure-free environment to receive real-time feedback at their own pace. The application aims to enhance learning and skill development through AI technology.

JobSearch.Coach is an AI-powered job search tool that helps users land their dream job faster. It offers a range of features including resume review, cover letter generation, job interview preparation, and mock interviews. The tool is designed to make the job search process more effective and efficient, by providing personalized guidance and feedback to users.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Can AI Code is a self-evaluating interview tool for AI coding models. It includes interview questions written by humans and tests taken by AI, inference scripts for common API providers and CUDA-enabled quantization runtimes, a Docker-based sandbox environment for validating untrusted Python and NodeJS code, and the ability to evaluate the impact of prompting techniques and sampling parameters on large language model (LLM) coding performance. Users can also assess LLM coding performance degradation due to quantization. The tool provides test suites for evaluating LLM coding performance, a webapp for exploring results, and comparison scripts for evaluations. It supports multiple interviewers for API and CUDA runtimes, with detailed instructions on running the tool in different environments. The repository structure includes folders for interviews, prompts, parameters, evaluation scripts, comparison scripts, and more.

This repository is a collection of free resources and a roadmap designed to help individuals learn Machine Learning and Artificial Intelligence concepts by providing key concepts, building blocks, roles, a learning roadmap, courses, certifications, books, tools & frameworks, research blogs, applied blogs, practice problems, communities, YouTube channels, newsletters, and must-read papers. It covers a wide range of topics from supervised learning to MLOps, offering guidance on learning paths, practical experience, and job interview preparation.

Awesome RoadMaps and Interviews is a comprehensive repository that aims to provide guidance for technical interviews and career development in the ITCS field. It covers a wide range of topics including interview strategies, technical knowledge, and practical insights gained from years of interviewing experience. The repository emphasizes the importance of combining theoretical knowledge with practical application, and encourages users to expand their interview preparation beyond just algorithms. It also offers resources for enhancing knowledge breadth, depth, and programming skills through curated roadmaps, mind maps, cheat sheets, and coding snippets. The content is structured to help individuals navigate various technical roles and technologies, fostering continuous learning and professional growth.

This repository contains a collection of interview questions related to various topics such as statistics, machine learning, deep learning, Python, networking, operating systems, data structures, and algorithms. The questions cover a wide range of concepts and are suitable for individuals preparing for technical interviews in the field of artificial intelligence and data science.

Awesome CS Books is a curated list of books on computer science and technology. The books are organized by topic, including programming languages, software engineering, computer networks, operating systems, databases, data structures and algorithms, big data, architecture, and interviews. The books are available in PDF format and can be downloaded for free. The repository also includes links to free online courses and other resources.

Algolisted is a pioneering platform dedicated to algorithmic problem-solving, offering a centralized hub for a diverse array of algorithmic challenges. It provides an immersive online environment for programmers to enhance their skills through Data Structures and Algorithms (DSA) sheets, academic progress tracking, resume refinement with OpenAI integration, adaptive testing, and job opportunity listings. The project is built on the MERN stack, Flask, Beautiful Soup, and Selenium,GEN AI, and deployed on Firebase. Algolisted aims to be a reliable companion in the pursuit of coding knowledge and proficiency.

Awesome CS Books is a repository that archives excellent books related to computer science and technology, named in the format of {year}-{author}-{title}-{version}. It includes reading notes for each book, with PDF links provided at the beginning of the notes. The repository focuses on IT CS-related books, valuable open courses, and aims to provide a systematic way of learning to alleviate fragmented skills and one-sidedness. It respects the original authors by linking to official/copyright websites and emphasizes non-commercial use of the documents.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

PmHub is a smart project management system based on SpringCloud, SpringCloud Alibaba, and LLM. It aims to help students quickly grasp the architecture design and development process of microservices/distributed projects. PmHub provides a platform for students to experience the transformation from monolithic to microservices architecture, understand the pros and cons of both architectures, and prepare for job interviews. It offers popular technologies like SpringCloud-Gateway, Nacos, Sentinel, and provides high-quality code, continuous integration, product design documents, and an enterprise workflow system. PmHub is suitable for beginners and advanced learners who want to master core knowledge of microservices/distributed projects.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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.

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.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

Grounded-VideoLLM is a Video Large Language Model specialized in fine-grained temporal grounding. It excels in tasks such as temporal sentence grounding, dense video captioning, and grounded VideoQA. The model incorporates an additional temporal stream, discrete temporal tokens with specific time knowledge, and a multi-stage training scheme. It shows potential as a versatile video assistant for general video understanding. The repository provides pretrained weights, inference scripts, and datasets for training. Users can run inference queries to get temporal information from videos and train the model from scratch.

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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Prepares questions for Technical Interviews

According to the relevant documents, what questions may arise during the job interview?

Professional Resume & CV Assistant 📝 Optimize for ATS 🤖 Tailor to Job Descriptions 🎯 Compelling Content ✨ Interview Tips 💡

Customizes job applications and offers tailored advice.

Guiding you in job applications and freelance career paths

Guides on career changes, and professional transitions.

Your go-to expert for resume and job-hunting advice.

A professional GPT for IT resume advice, with the latest career skill tips

Professional advice on unemployment and job termination.

Helps with study applications, aiming close to requested word counts.

Expert guide in job interview prep and company research.

I simulate software engineering interviews using FAANG Technical Questions and provide feedback.

問題集からバックエンドの技術質問（57+問）をランダムで出題します。回答に対して点数、評価ポイント、改善点を出し、最終的に面接に合格したかどうかを判断します。こちらはサンプルバージョンです。掲載問題数は減らしています。

Mimics top tech companies' system design interviews

Media coach for postal reps on interviews.

Expert in tailoring digital marketing interview prep to specific companies.

Creative coach for consulting interviews

Acts as a software engineer interviewer, asking questions in sequence.

Get into FAANG. Practice with an AI expert in algorithms, data structures, and system design. Do a mock interview and improve.

Guides students through university applications, with a focus on essays and interviews.