This repository contains a web application for multi-lingual transcription using OpenAI's Whisper Automatic Speech Recognition (ASR) model. Users can upload audio files in WAV, MP3, or M4A formats and get transcriptions in various languages. The application is designed with accessibility and data privacy in mind.

This project automates audio processing by removing silence, transcribing speech to text, and storing the output in an SQLite database. It supports multiple audio formats and leverages Google Speech Recognition for high accuracy.

Herramienta de código abierto que transcribe el audio de videos .mp4 a texto usando ffmpeg y modelos como Whisper, ideal para automatizar la extracción de contenido hablado de forma local y personalizable.

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.