Best AI tools for< conduct automated interviews >

Xobin Tracks is an innovative Application Tracking Software designed to streamline the recruitment process. It offers features such as creating job descriptions with generative AI, setting up live and automated interviews, and using scorecards to evaluate candidates, all in one platform. Xobin Tracks caters to various recruitment needs, enhancing the ability to identify the right talent for organizations.

Recroo is a fully automated AI interview application that allows users to conduct interviews using artificial intelligence technology. The app is designed to streamline the screening process for recruiters by providing a real-interview like environment, complete feedback with ratings, AI assistant for answering questions, interview transcript review, and interview audio playback. Recroo simplifies the interview process by allowing users to provide job details and custom questions, while the AI engine takes care of conducting the interview. It is a powerful tool for recruiters looking to efficiently screen candidates and focus on other tasks.

Arro is an AI-powered research assistant that helps product teams collect customer insights at scale. It uses automated conversations to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be directly integrated into the product roadmap. Arro's innovative AI-led methodology combines the depth of user interviews with the speed and scale of surveys, enabling product teams to gain a comprehensive understanding of their customers' needs and preferences.

Potis is an AI-powered hiring copilot that automates the screening process and evaluates candidates' real-world skills through behavioral interviews. It provides clear and bias-free talent scoring, customized feedback, and helps recruiters save time and costs while improving the quality of hires.

InterviewAI is an AI-powered platform designed to streamline the interview process for both interviewers and candidates. It generates tailored interview questions in real-time, offers advanced practice tools, and provides automated scoring for candidate responses. The platform aims to enhance interview skills, improve preparation, and empower users to succeed in job interviews at leading firms. InterviewAI also helps organizations and academic institutions by offering efficient interviewing solutions, customized questioning, and data-driven insights for strategic decision-making.

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.

AskMore is an AI-powered platform for conducting user interviews and product research. The tool leverages artificial intelligence to automate the process of gathering user feedback, enabling users to conduct interviews in any language, receive insights faster, and generate shareable reports effortlessly. By utilizing AskMore, users can complement traditional face-to-face interviews with a larger pool of participants, ensuring a more comprehensive understanding of user needs and preferences. The platform also assists in formulating unbiased interview questions based on research best practices, ultimately enhancing the quality of insights obtained.

HireVue is an AI-driven hiring platform that aims to connect talent to opportunity and unlock the potential in every candidate. By leveraging AI-driven technology, HireVue empowers teams to identify candidate potential and traits that predict future success. The platform offers solutions for hourly hiring, campus hiring, professional hiring, and technical hiring, enabling fair and transparent hiring processes. HireVue's structured interviews, text-powered automated workflow, and flexible solutions streamline the hiring process, ensuring consistent talent assessment and faster hiring decisions.

Kraftful is an AI-powered platform designed for product builders to collect, analyze, and act on user feedback efficiently. It offers features such as sentiment analysis, auto-organizing insights into projects, generating surveys, AI-powered user interviews, and feedback translation. Kraftful helps product teams save time by automating tasks like crafting user surveys, analyzing feedback, and generating user stories. The platform aims to provide actionable product insights by turning volumes of user feedback into valuable information for product development.

hirex.ai is an AI-powered platform designed to make level one interviews inclusive and fair for all job candidates. It offers a voice AI platform for conducting interviews, screening candidates faster and more effectively using AI, ML, and NLP tools. The platform features AI-enabled talent management and engagement solutions, remote interviews with lip sync detection, WhatsApp chatbots for candidate engagement, interview reminders, coding assignments with AI-based proctoring, search and resume parsing, and ATS automation. hirex.ai aims to address common hiring challenges such as insufficient resources for interviews, misunderstanding of skill requirements, inconsistency in selection criteria, and interviewer bias. The platform leverages pre-trained Voice BOTs to conduct interviews and engage with candidates directly, helping organizations streamline their talent acquisition process.

ResearchGoat is a generative AI-powered research platform that enables clients to conduct in-depth qualitative research and interviews with unprecedented speed and genuine insights. The platform offers shockingly lower costs compared to traditional consumer research, AI moderators that can converse in any language, and the ability to recruit participants and conduct interviews efficiently. ResearchGoat empowers users to focus on understanding their customers by providing comprehensive insights and analysis from real people.

Parroview is a revolutionary AI-powered user research platform that automates the process of conducting user interviews. It uses natural language processing (NLP) to engage with users in real-time conversations, asking follow-up questions and uncovering insights that would be difficult to obtain through traditional methods. Parroview is designed to be fully autonomous, allowing researchers to set up interviews and gather insights without the need for manual intervention. It supports multiple languages, making it accessible to a global audience. Parroview offers a range of features, including the ability to conduct interviews via text or voice, analyze insights in real-time, and generate detailed transcripts. It is suitable for a wide range of research needs, including product validation, consumer behavior analysis, post-purchase evaluations, brand perception studies, and customer persona development.

Ziggy is an AI-powered platform that automates 1-on-1 conversations, enabling users to conduct feedback interviews seamlessly with anyone, anytime. It helps businesses gather insightful and more natural responses from users than static forms ever could. Ziggy's commitment to collaboration and creativity helps teams work together to get the best results. Its powerful analytical tools help ensure users understand their users' wants and needs. With Ziggy, users can see the original responses from their users and use them to make better decisions.

ShortlistIQ is an AI recruiting tool that revolutionizes the candidate screening process by conducting first-round interviews using conversational AI. It automates over 80% of the time spent screening candidates, providing human-like scoring reports for every job candidate. The AI assistant engages candidates in a personalized and engaging way, ensuring fair assessments and revealing true candidate competence through strategic questioning. ShortlistIQ aims to streamline the recruitment process, decrease time to hire, and increase candidate satisfaction.

HireList.io is a Next-Gen AI Recruitment tool designed for fast-growing startups. The platform offers Intelligent Recruitment Software powered by AI to streamline the hiring process, target the right talent, and connect with suitable candidates. HireList helps in building dream teams efficiently by providing a job board, AI-powered candidate filtering, and a collaborative hiring process. The tool simplifies recruitment with features like a direct application portal, efficient hiring pipeline, applicant tracking system, communication automation, and structured interviews.

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.

Businessflow AI is a recruitment software powered by AI agents that helps companies find the best-fit applicants at a higher speed and reduced cost. It offers features such as resume analysis, applicant ranking, AI-powered interviews, and a general assistant. Businessflow AI aims to revolutionize the recruitment process by leveraging AI to automate tasks and provide data-driven insights.

LawDroid is an AI legal assistant application designed to help legal professionals work smarter and more efficiently. It serves as a force multiplier, enabling users to accomplish more tasks without additional overhead. LawDroid offers features such as case law research, drafting emails and letters, and document analysis. It also provides benefits like intake new clients, data-driven decisions, automate documents, human in the loop automation, and building scalable tools. The application is used by students, faculty, and legal professionals to streamline legal processes and improve client experiences.

Veriff.com is an AI-powered identity verification platform designed for fraud prevention, compliance, and enhancing customer trust. It offers a range of services such as document verification, proof of address, database checks, age validation, KYC onboarding, biometric authentication, AML screening, and more. Veriff combines AI technology with human verification to ensure accurate and efficient identity verification processes, helping businesses build trusted digital communities and drive growth.

Futr Energy is a solar asset management platform known as FutrOS, designed to help manage solar power plants efficiently. It offers intelligent RMS, CMMS, and asset management tools for Clean Energy Developers, Operators, and Investors. The platform enables users to operate, manage, and improve generation, ensuring the security of their IRRs. Futr Energy focuses on performance management, hardware agnostic solutions, and a digital twin-led approach to optimize solar power operations.

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

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.

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.

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.

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.

Airgeddon is a versatile bash script designed for Linux systems to conduct wireless network audits. It provides a comprehensive set of features and tools for auditing and securing wireless networks. The script is user-friendly and offers functionalities such as scanning, capturing handshakes, deauth attacks, and more. Airgeddon is regularly updated and supported, making it a valuable tool for both security professionals and enthusiasts.

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.

Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of Retrieval-Augmented Generation (RAG) systems. It simplifies the process with automated integration, customizable evaluation metrics, and support for various Large Language Models (LLMs) tailored to specific needs. The aim is to reduce LLM hallucination risks and enhance reliability.

FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.

AI-Writer is an AI content generation toolkit called Alwrity that automates and enhances the process of blog creation, optimization, and management. It integrates advanced AI models for text generation, image creation, and data analysis, offering features such as online research integration, long-form content generation, AI content planning, multilingual support, prevention of AI hallucinations, multimodal content generation, SEO optimization, and integration with platforms like Wordpress and Jekyll. The toolkit is designed for automated blog management and requires appropriate API keys and access credentials for full functionality.

FunClip is an open-source, locally deployed automated video clipping tool that leverages Alibaba TONGYI speech lab's FunASR Paraformer series models for speech recognition on videos. Users can select text segments or speakers from recognition results to obtain corresponding video clips. It integrates industrial-grade models for accurate predictions and offers hotword customization and speaker recognition features. The tool is user-friendly with Gradio interaction, supporting multi-segment clipping and providing full video and target segment subtitles. FunClip is suitable for users looking to automate video clipping tasks with advanced AI capabilities.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intensive applications, such as big data and AI applications. It implements dataset abstraction, scalable cache runtime, automated data operations, elasticity and scheduling, and is runtime platform agnostic. Key concepts include Dataset and Runtime. Prerequisites include Kubernetes version > 1.16, Golang 1.18+, and Helm 3. The tool offers features like accelerating remote file accessing, machine learning, accelerating PVC, preloading dataset, and on-the-fly dataset cache scaling. Contributions are welcomed, and the project is under the Apache 2.0 license with a vendor-neutral approach.

SLAM-LLM is a deep learning toolkit designed for researchers and developers to train custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). SLAM-LLM features easy extension to new models and tasks, mixed precision training for faster training with less GPU memory, multi-GPU training with data and model parallelism, and flexible configuration based on Hydra and dataclass.

SLAM-LLM is a deep learning toolkit for training custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports various tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). Users can easily extend to new models and tasks, utilize mixed precision training for faster training with less GPU memory, and perform multi-GPU training with data and model parallelism. Configuration is flexible based on Hydra and dataclass, allowing different configuration methods.

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!

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