Best AI tools for< Practice Coding Problems >

Cipher is an AI tool designed to help users prepare for coding interviews. It offers AI assistance to enhance interview preparation by providing personalized guidance and feedback. With Cipher, users can practice coding problems, receive hints and solutions, and improve their problem-solving skills. The platform aims to simulate real interview scenarios to boost confidence and performance. By leveraging AI technology, Cipher adapts to users' learning pace and offers tailored recommendations to address their weaknesses effectively.

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.

Pgrammer is an AI-powered platform designed to help users practice coding interview questions with hints and personalized learning experiences. Unlike traditional methods like LeetCode, Pgrammer offers a diverse set of questions for over 20 programming languages, real-time hints, solution analysis, and feedback to improve coding skills and prepare for coding interviews effectively.

Upsend is an AI-powered platform designed to help software engineering candidates prepare for technical interviews. It offers mock coding interviews with personalized feedback to enhance interview performance and increase job offer conversion rates. With industry-standard metrics and actionable insights, Upsend aims to simulate real interview scenarios and provide a comprehensive preparation experience for candidates.

Autocode was a platform that started in 2016 as 'standard library' and was shut down on April 26th, 2024. It had over 750,000 users and played a significant role in introducing coding to thousands of young developers. The platform was appreciated by the community, team, and investors for its contributions to the coding community.

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.

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.

AIgrind is a comprehensive coding platform designed to enhance AI and ML skills through a combination of practice, mentorship, job interview preparation, contests, and streak incentives. Users can engage with coding and theoretical questions, receive personalized mentorship from industry experts, prepare for job interviews with real questions, and participate in contests to track progress. The platform offers dual language support, a robust testing environment with extensive test case coverage, real-time feedback, and detailed performance analysis to help users improve their coding skills and knowledge for real-world applications.

AICorr.com is a website offering free coding tutorials with a focus on artificial intelligence, data science, machine learning, and statistics. Users can learn and practice coding in Python and SQL, explore projects with real data, and access a wealth of information in an easy-to-understand format. The website aims to provide up-to-date and relevant information to a global audience, ensuring a seamless learning experience for all.

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.

Tutory, formerly known as Persona, is an AI-powered educational platform that introduces Dahlia, a conversational AI system designed to tutor students in Math, Science, Computer Science, and English. Dahlia offers personalized support through a user-friendly conversational interface, catering to individual learning styles and needs. The system is open domain, capable of engaging students in 130 languages worldwide, ensuring no student is left behind.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Coddy is an AI-powered coding assistant that helps developers write better code faster. It provides real-time feedback, code completion, and error detection, making it the perfect tool for both beginners and experienced developers. Coddy also integrates with popular development tools like Visual Studio Code and GitHub, making it easy to use in your existing workflow.

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.

FavTutor AI Learning is an AI-powered tool designed to help users master programming skills through personalized learning experiences. The tool utilizes artificial intelligence algorithms to provide tailored lessons, practice exercises, and feedback to enhance the user's programming proficiency. With FavTutor AI Learning, users can improve their coding abilities at their own pace and convenience, making it an ideal platform for both beginners and experienced programmers seeking to enhance their skills.

Interviews Chat is an AI-powered interview preparation tool that offers real-time suggestions, personalized question preparation, and in-depth feedback to help users ace their interviews. The tool includes a Copilot feature with vision capability for coding challenges and whiteboard tasks. Users can practice answering questions via a video interface, receive tailored interview questions based on their resume and job description, and get instant feedback on their responses. Interviews Chat aims to provide a realistic practice environment to improve interview performance and make a lasting impression.

GPTBots.ai is a powerful no-code platform for creating AI-driven business applications. It seamlessly integrates large language models with organizational data, services, and workflows to empower AI bots in driving business growth. The platform allows users to build and train AI bots without coding experience, access best-practice AI bot templates, optimize and customize AI knowledge base, and adapt to various scenarios with intelligent agent bots. GPTBots supports diverse input types, offers versatile language models, enables seamless chatbot-human handoff, and provides robust API and SDK for embedding capabilities into products. Trusted by over 100k companies worldwide, GPTBots helps enterprises enhance customer service, leads generation, SEO writing, data analysis, and more.

GPTBots.ai is a powerful no-code platform for creating AI-driven business applications. It seamlessly integrates large language models with organizational data, services, and workflows to empower AI bots in driving business growth. The platform allows users to build and train AI bots without coding experience, access best-practice templates, optimize AI knowledge bases, and adapt to various scenarios with intelligent agent bots. GPTBots supports diverse input types, offers versatile language models, and enables seamless chatbot-human handoff. Trusted by over 100k companies worldwide, GPTBots enhances customer support, leads generation, SEO writing, and data analysis, catering to various industries.

Quanta Intelligence is a comprehensive platform providing business insights on the latest AI news. It offers in-depth analysis and expert commentary on artificial intelligence developments, helping users stay informed and competitive. With deep expertise and precision data, Quanta Intelligence is a top-quality, unbiased resource for AI news and insights. The platform sets the standard for excellence in the rapidly-evolving world of artificial intelligence.

ICD AI is an advanced artificial intelligence tool designed to assist healthcare professionals in accurately assigning diagnostic codes to patient records. The tool utilizes machine learning algorithms to analyze medical data and suggest appropriate ICD codes, streamlining the coding process and reducing errors. With its user-friendly interface and robust features, ICD AI is revolutionizing medical coding practices and improving efficiency in healthcare facilities.

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.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository provides a collection of interview questions and answers for algorithm engineers. The questions are organized by topic, and each question includes a detailed explanation of the answer. This repository is a valuable resource for anyone preparing for an algorithm engineering interview.

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.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

This Github repository contains practice session materials for the TUM course on Artificial Intelligence in Automotive Technology. It includes coding examples used in the lectures to teach the foundations of AI in automotive technology. The repository aims to provide hands-on experience and practical knowledge in applying AI concepts to the automotive industry.

Web-LLM Assistant is a simple web search assistant that leverages a large language model (LLM) running via Llama.cpp to provide informative and context-aware responses to user queries. It combines the power of LLMs with real-time web searching capabilities, allowing it to access up-to-date information and synthesize comprehensive answers. The tool performs web searches, collects and scrapes information from search results, refines search queries, and provides answers based on the acquired information. Users can interact with the tool by asking questions or requesting web searches, making it a valuable resource for obtaining information beyond the LLM's training data.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

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.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

A curated list of Generative AI projects, tools, artworks, and models

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

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.

Assists with tech exam prep, adheres to specific rules.

Comprehensive Software Skill Assessment Expert

Prepares questions for Technical Interviews

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

Guiding you from beginner to expert in Competitive Programming, or simply explain solutions to your problems.

A Python and programming expert, guiding users on best practices for writing clean, efficient, and well-documented Python code.

Your go-to guide for coding and tech education.

An AI that gamifies coding practices for skill improvement and engagement.

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

A Python tutor creating stepwise coding challenges.

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。

write the code as required

I provide Python interview prep and conduct mock interviews.

I provide Swift interview prep and conduct mock interviews.

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

Your go-to guide for nailing tech interviews with dynamic mock sessions!

I provide Java interview prep and conduct mock interviews.

I provide C interview prep and conduct mock interviews.

Leads JavaScript learning with structured lessons and quizzes

Learn Python and train for interviews with me