Speech audio (i.e., interview) transcription with Whisper AI and speaker diarization with pyannote.

AI-powered mock interview application that generates personalized questions from your resume and job description. Features voice recording, automatic transcription with Whisper, and real-time feedback using Gemini AI.

TranscripterAI — a Python pipeline for automatically transcribing audio recordings of meetings and interviews, followed by AI-powered analysis. The script performs two stages: local transcription using OpenAI Whisper and text analysis via the Gemini API.

Real-time AI interview coach with context-aware question generation (Gemini 2.0), local speech transcription (Whisper), and zero-latency coaching feedback on speaking delivery. Built with FastAPI and vanilla HTML/CSS/JS frontend

OpenAi-Whisper-Interview-Transcription

A transcription tool for UX Research interviews using Whisper from Open AI

AI Mock Interviewer: Upload JD → AI generates questions → Record answers → Whisper transcription → Confidence + Content feedback | Streamlit + Whisper + GPT/Llama

AI-powered interview preparation system with dynamic question generation, NLP-based evaluation, and voice transcription using Whisper.

AI-powered HR interview system with real-time transcription and scoring using Gemma 3, MLX-Whisper, and Piper TTS

AI-powered interview preparation platform with real-time speech transcription, eye contact tracking, and STAR method evaluation using Groq LLaMA & Whisper.

Real-time interview assistant with live speech transcription using Whisper AI, providing dynamic concept cards to identify missed angles and talking points

Professional-grade, privacy-first AI assistant for high-stakes interviews and meetings featuring real-time local Whisper transcription and hardware-aware intelligence for Windows and macOS.

An AI-powered Interview Management System where admins create and assign tests, and candidates take voice-based interviews with real-time transcription and AI evaluation. Built with React, Flask, and MongoDB, using Google Gemini for question generation and Whisper for speech-to-text.

WhistleBlower is a cutting-edge AI-powered speech transcription system that leverages. Whisper models to convert your speech into accurate text with remarkable precision.Perfect for meetings, lectures, interviews, podcasts, and content creation.

Auralis is an AI-powered transcription tool that converts audio and video into accurate text. Built on OpenAI Whisper, it supports multiple languages and works seamlessly for meetings, lectures, interviews, podcasts, and recordings with mixed-language conversations.

Our AI-based interview analysis platform enhances employability by evaluating speech, language, and behavior. It uses Whisper for transcription, analyzes grammar, speech rate, volume, pitch, and WER, and tracks facial and body cues to give real-time feedback and personalized improvement reports

Our AI-based interview analysis platform enhances employability by evaluating speech, language, and behavior. It uses Whisper for transcription, analyzes grammar, speech rate, volume, pitch, and WER, and tracks facial and body cues to give real-time feedback and personalized improvement reports.

Our AI-based interview analysis platform enhances employability by evaluating speech, language, and behavior. It uses Whisper for transcription, analyzes grammar, speech rate, volume, pitch, and WER, and tracks facial and body cues to give real-time feedback and personalized improvement reports.

Built an AI-powered interview Mentor that listens to candidate responses and generates real-time, intelligent follow-up questions. Used OpenAI’s Whisper model for accurate speech-to-text transcription and TextBlob for sentiment analysis. Integrated the Perplexity API to formulate context-aware questions based on transcribed answers.