Official code for the paper: InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews (previously: Do Role-Playing Chatbots Capture the Character Personalities? Assessing Personality Traits for Role-Playing Chatbots)

Chatbot with a 3D avatar that can answer interview questions in your behalf. It can speak and understand English, German and Albanian. Based on the GPT 4 model and Azure Speech to Text and Text to Speech, it is able to make realistic conversations about a job interview and save conversations.

GPT3 Interview Chatbot

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ResuMatch is a full-stack web application designed to streamline the job application process for job seekers. It offers features like resume analysis, intelligent job matching, an interactive interview preparation chatbot, and a customizable resume builder and get job suggestions. Built with React, Django, and Tailwind CSS.

Rex AI Interview Simulation and General Chatbot

AI-Driven Interview Assistant: Streamlining Recruitment with Advanced Chatbot Technology

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an open-source AI survey platform where an AI chatbot (text, voice, or video avatar) conducts conversational interviews with respondents.(Early testing started)

PrepNexus is an AI-driven system using a fine-tuned RoBERTa model for resume analysis and job role recommendations, built a LangChain-ChromaDB powered interview chatbot with LLaMA-3 (8B) for real-time technical Q&A, and implemented a BeautifulSoup-based job scraping pipeline to enhance job search efficiency by 40%.

To build the chatbot for Data Science interview "question & answer "

A web application that analyzes resume-job fit using NLP and provides an AI chatbot for interview practice.

The Job Interview Preparation Bot is a Python-based chatbot designed to simulate a job interview preparation experience. The bot interacts with users, asks questions to understand the job they are preparing for, and then conducts a simulated job interview based on the provided information.

This is a Python module for Vosk. Vosk is an offline open source speech recognition toolkit. It enables speech recognition models for 17 languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters. Documentation:-For installation instructions:-https://alphacephei.com/vosk/models

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An Interview Preparation ChatBot. The best way to prepare for the programming interviews.

Effortlessly conduct chatbot-based interviews with customizable protocols and randomized condition assignments, tailored for social science research.

This is a smart Discord chatbot developed using Python and the Discord.py library. The bot is designed to help students prepare for IBM interviews, Artificial Intelligence, and Machine Learning concepts.

🧠 AI Chat & Question Generator This is a Python-based AI chatbot powered by an API DeepSeek. It not only supports dynamic conversations with the AI but also allows the AI to generate custom questions based on user-defined requirements — making it useful for learning, interviews, or study preparation. 💬 Chat with an AI assistant using OpenRouter

Gemini AI Interviewer & Chatbot: A React-based platform using Gemini's API, offering personalized mock interviews, intelligent chatbot interactions with history tracking, and voice chat via window.speechSynthesis. An efficient tool for job-specific prep and AI-driven assistance.

A Chatbot for SWE Interview prep built on LangGraph

About Dataset What's In The Deep-NLP Dataset? Sheet1.csv contains 80 user responses, in the responsetext column, to a therapy chatbot. Bot said: 'Describe a time when you have acted as a resource for someone else'. User responded. If a response is 'not flagged', the user can continue talking to the bot. If it is 'flagged', the user is referred to help. Sheet2.csv contains 125 resumes, in the resumetext column. Resumes were queried from Indeed.com with keyword 'data scientist', location 'Vermont'. If a resume is 'not flagged', the applicant can submit a modified resume version at a later date. If it is 'flagged', the applicant is invited to interview. What Do I Do With This? Classify new resumes/responses as flagged or not flagged. There are two sets of data here - resumes and responses. Split the data into a train set and a test set to test the accuracy of your classifier. Bonus points for using the same classifier for both problems.

AI-Chatbot for software engineers to practice technical interviews

This AI chatbot will help you prepare for your next behavioral interview

Desktop application using Natural Language Processing with python

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Project Elite AI helps users create generative AI-based chatbots — like business bots, Socratic teaching assistants, and interview prep bots.

Interview chatbot with the possibility to connect to different messengers like WhatsApp, Telegram(t.me/dgonor_bot), and Facebook or PWA.

MVP of CaseAI - a generative AI chatbot that assists candidates with case interview preparation (Credit to Rafail Balis for front- and back-end code)

2. Second Test Task (interview). ChatBot. Make an application - messenger prototype (without server side). There is a chat, there are two participants - a human and a bot. A person writes a message, and the bot responds with the same message. Support message like picture, text and geolocation.