Best AI tools for< Interview Scheduling >

Paradox is a conversational hiring software that automates repetitive tasks and improves the candidate experience. It offers a range of features such as conversational ATS, career sites, CX, capture, scheduling, events, and assessments. Paradox integrates with leading HCM systems like Workday, SAP SuccessFactors, and Indeed. It is used by various industries including retail, restaurant, healthcare, logistics, financial services, and hospitality.

Hire Hoc is an AI-powered hiring tool that helps businesses identify and interview only the top applicants. With features like AI shortlisting, one-way video interviews, and interview scheduling, Hire Hoc can help you streamline your hiring process and make better hiring decisions.

HireLakeAI is an AI-powered platform that helps businesses with their hiring process. It uses AI to automate tasks such as resume screening, candidate matching, and interview scheduling. HireLakeAI also provides insights into candidate data, such as their skills, experience, and personality. This information can help businesses make better hiring decisions and improve their overall hiring process.

TurboHire is a recruitment automation platform that provides a comprehensive suite of tools to streamline and enhance the entire recruitment process. It offers modules for candidate sourcing, talent screening, candidate engagement, interview automation, offer and onboarding, and recruitment analytics. TurboHire leverages artificial intelligence (AI) to automate various tasks, such as candidate scoring, pre-screening assessments, and interview scheduling. The platform integrates with leading HRMS systems and job boards, providing a seamless and efficient recruitment experience. TurboHire is trusted by over 120 companies across various industries, including IT, manufacturing, BFSI, and pharma.

Sense Talent Engagement Platform is an AI-powered recruitment platform that offers a comprehensive suite of tools to streamline the hiring process. It provides automation workflows, database cleanup, interview scheduling, text messaging, mass texting, WhatsApp and SMS integration, mobile app support, candidate matching, AI chatbot, job matching, scheduling bot, smart FAQ, pre-screening, sourcing, live chat, instant apply, talent CRM, generative AI, voice AI, referrals, analytics, and more. The platform caters to various industries such as financial services, healthcare, logistics, manufacturing, retail, staffing, technology, and more, helping organizations attract, engage, and retain top talent efficiently.

Recooty is a modern applicant tracking system designed for growing companies to streamline their recruiting process. It offers features such as applicant tracking, job posting, candidate tracking, interview scheduling, talent pool management, employer branding, and HR tools. With Recooty, companies can attract, engage, and hire their next teammates with ease. The platform also provides resources like job descriptions, templates, interview questions, and AI tools to enhance the recruitment experience.

XOR AI Recruiter is an AI-powered platform designed for recruiting blue-collar and hourly workers in the US. It offers a creative approach to candidate sourcing, smart candidate screening, automatic interview scheduling, and a hiring platform. The platform aims to simplify the hiring process by attracting, pre-screening, and scheduling the best candidates for recruiters, allowing them to focus on hiring top talent. XOR AI Recruiter utilizes modern AI technology to locate candidates not easily found on traditional job boards, providing a cost-effective and efficient solution for fast and effective hiring.

Xandidate is an AI-powered recruitment platform that helps businesses find the best candidates for their open positions. The platform uses a variety of AI technologies to automate and streamline the recruitment process, making it faster, easier, and more efficient. Xandidate's AI-powered features include: - Candidate matching: Xandidate's AI algorithms match candidates to open positions based on their skills, experience, and qualifications. This helps businesses find the best candidates for their open positions quickly and easily. - Candidate screening: Xandidate's AI algorithms screen candidates for potential red flags, such as criminal records or fraudulent resumes. This helps businesses avoid hiring candidates who may be a risk to their company. - Interview scheduling: Xandidate's AI algorithms schedule interviews between candidates and hiring managers. This helps businesses streamline the interview process and make it more efficient.

Career Copilot is an AI-powered hiring tool that helps recruiters and hiring managers find the best candidates for their open positions. The tool uses machine learning to analyze candidate profiles and identify those who are most qualified for the job. Career Copilot also provides a number of features to help recruiters streamline the hiring process, such as candidate screening, interview scheduling, and offer management.

Torre is an AI-powered platform that serves as a self-driving AI recruiter, connecting job seekers with companies. It offers tools for both candidates and companies to streamline the recruitment process. Torre leverages AI technology to match candidates with suitable job openings, facilitate interview scheduling, and provide solutions for companies to optimize their hiring processes. The platform aims to make work fulfilling by enhancing the recruitment experience for both candidates and companies.

RecruitGenius.ai is an AI-powered automated recruiting tool designed to streamline and optimize the recruitment process for HR professionals and hiring managers. The platform offers features such as AI auto screening, one-way video interviews, smart direct interview scheduler, talent pool management system, candidate relationship management, and analytic reports. RecruitGenius.ai aims to help users pre-qualify candidates efficiently, schedule interviews seamlessly, and manage the recruitment workflow effectively, ultimately saving time and effort in the hiring process. The tool is designed to enhance recruitment efficiency and improve the quality of hires by leveraging AI technology.

Humanly is a Conversational AI platform designed for recruiting teams to streamline the hiring process at scale. The AI co-pilot assists with screening, scheduling, note-taking, and follow-up tasks, providing valuable insights to recruiters. Humanly aims to improve hiring outcomes, save time, and enhance candidate experience through automation and advanced analytics. The platform focuses on ethical AI practices, ensuring secure and explainable AI usage to avoid bias and negative outcomes. Humanly integrates with various HR tools and offers customizable chatbot experiences for engaging candidate interactions.

Chattr is an automated AI hiring software designed for frontline industries such as restaurants, retail, senior living, and labor. It offers solutions for attracting, preparing, and syncing the hiring process through conversational AI, onboarding automation, and integrations with various systems. Chattr streamlines recruiting, onboarding, and candidate relationship management, making frontline hiring efficient and cost-effective.

VideoAsk by Typeform is an interactive video platform that helps streamline conversations and build business relationships at scale. It offers features such as asynchronous interviews, easy scheduling, tagging, gathering contact info, capturing leads, research and feedback, training, customer support, and more. Users can create interactive video forms, conduct async interviews, and engage with their audience through AI-powered video chatbots. The platform is user-friendly, code-free, and integrates with over 1,500 applications through Zapier.

Screenloop is an applicant tracking system (ATS) that goes beyond traditional tracking systems by offering interview intelligence, AI notes, and more at a fraction of the cost. It is designed to help businesses win top candidates, scale seamlessly, and use powerful AI to streamline operations and reduce costs. Screenloop's Talent Operations Platform provides access to a full suite of tools, including applicant tracking, interview intelligence, pulse surveys, background checks, referencing, interviewer training, data & analytics, and more.

Zavata is an AI tool designed for automating the hiring process through AI interviews. It offers features such as automated scheduling, AI-powered interviews, real-time feedback, and fair assessments. Zavata aims to optimize the recruitment journey for both employers and candidates by leveraging advanced AI technology. The platform provides personalized and engaging interview experiences, data-driven decision-making, and seamless integration with existing HR tools.

Paradox is an AI-powered recruiting platform that aims to revolutionize the recruitment process through the use of artificial intelligence. The platform streamlines the recruiting process to enhance candidate and recruiter experiences, creating better connections between job seekers and companies. Paradox values innovation, client success, and creating magical moments through assistive intelligence. The platform offers various solutions for talent acquisition, including Conversational ATS, Career Sites, CX, Capture, Scheduling, and Events. With a focus on simplicity and continuous improvement, Paradox is dedicated to changing the world of recruiting one company and one job seeker at a time.

VanillaHR is an AI-powered hiring platform that helps businesses find the best candidates for their open positions. The platform uses AI to automate tasks such as screening resumes, scheduling interviews, and conducting background checks. This helps businesses save time and money while also improving the quality of their hires. VanillaHR is trusted by some of the world's leading companies, including Google, Amazon, and Microsoft.

Savvy is an AI recruitment platform that connects job seekers with companies and recruiters, offering an Intelligent Matching System to find top talent efficiently. It automates tasks like resume screening, scheduling interviews, and eliminates subconscious bias in the hiring process. Savvy aims to streamline the recruitment process, saving time and resources for both job seekers and recruiters.

Hevolve AI is a cloud-based AI-powered talent intelligence platform that helps businesses find, engage, and retain top talent. It uses machine learning and natural language processing to analyze data from a variety of sources, including resumes, LinkedIn profiles, and job postings, to identify the best candidates for a given role. Hevolve AI also provides tools for managing the hiring process, including candidate tracking, scheduling interviews, and making offers.

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 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.

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

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.

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 provides a comprehensive overview of large language models (LLMs), covering various aspects such as their history, types, underlying architecture, training techniques, and applications. It includes detailed explanations of key concepts like Transformer models, distributed training, fine-tuning, and reinforcement learning. The repository also discusses the evaluation and limitations of LLMs, including the phenomenon of hallucinations. Additionally, it provides a list of related courses and references for further exploration.

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.

Java-Interview-Tutorial is a repository containing resources and tutorials for Java interview preparation. It provides guidance on setting up the project locally, adjusting image paths, and submitting articles. The repository also includes instructions for configuring the project and using Git GUI tools for managing content. Users can learn about Java concurrency programming and navigate through the content easily. The repository emphasizes clean article titles and content formatting to ensure proper display on the website.

DeepLearning-Interview-Awesome-2024 is a repository that covers various topics related to deep learning, computer vision, big models (LLMs), autonomous driving, smart healthcare, and more. It provides a collection of interview questions with detailed explanations sourced from recent academic papers and industry developments. The repository is aimed at assisting individuals in academic research, work innovation, and job interviews. It includes six major modules covering topics such as large language models (LLMs), computer vision models, common problems in computer vision and perception algorithms, deep learning basics and frameworks, as well as specific tasks like 3D object detection, medical image segmentation, and more.

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.

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 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.

RAFT (Retrieval-Augmented Fine-Tuning) is a method for creating conversational agents that realistically emulate specific human targets. It involves a dual-phase process of fine-tuning and retrieval-based augmentation to generate nuanced and personalized dialogue. The tool is designed to combine interview transcripts with memories from past writings to enhance language model responses. RAFT has the potential to advance the field of personalized, context-sensitive conversational agents.

PythonPark is a paradise for learning Python, providing babysitter-level tutorials on AI labs, treasure videos, data structures, study guides, machine learning practicals, deep learning practicals, Python basics, web scraping, big company interview experiences, programming life, and resource sharing. Original articles are published at least twice a week, with the latest articles being first released on WeChat and videos on Bilibili. Join the WeChat group for technical discussions or to provide feedback. Continuously improving and outputting content!

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

Comprehensive Software Skill Assessment Expert

Automated interviews. To get started, type or say "Let's begin". When you ask the GPT to end the interview it will give you a transcript and summary of your conversation. This is a great way of getting thoughts out of your head and onto "paper". Have fun!

Fast, Accurate Interview Coach for PM, UX, and Analytics

Interview with Ami. An AI moderated practice interviewer created by @SprinterviewAi

By combining the expertise of top career coaches with advanced AI, our GPT helps you excel in interviews across various job functions and levels. We've also compiled the most practical tips for you | We value your experience, please contact [email protected] if you need support ❤️!

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AI assistant creating interview questions tailored to your company, the role, and candidates' background

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A role-play enabled Amazon/AWS interview coach specializing in STAR format and Leadership Principles.

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Master the Investment Banking Interview Arena: Chatbot Solutions to Ace Any Banking Question

A medical residency interview coach providing questions and feedback.

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