AI-Powered Live Captioning Tool A Real-Time Speech Transcription & Audio Caption Generator built using OpenAI Whisper, Google Speech Recognition, and Streamlit. Designed for meetings, accessibility tools, and audio summarization.

🎧 Upload audio files (.mp3, .wav, .m4a) and generate captions using Whisper

🎤 Real-time speech-to-text from microphone input using Google STT

🔁 Chunk-wise live transcription for meetings

💬 Full transcript generated at the end

✅ FFmpeg-integrated backend for audio processing

Python 3.8+

FFmpeg (must be added to system PATH)

Install dependencies: pip install -r requirements.txt

Tool Purpose Whisper Audio transcription (offline) Google STT Real-time mic transcription Streamlit UI for web interface FFmpeg Audio processing backend

Clone the repository: git clone https://github.com/your-username/your-repo-name.git cd your-repo-name

pip install -r requirements.txt Make sure FFmpeg is installed and added to your system PATH.

streamlit run App.py

📁 your-project/ │ ├── App.py # Main Streamlit app ├── requirements.txt # All Python dependencies └── README.md # You're reading this!

This project was built as part of the 3Percent Hacks - Building with AI hackathon. Designed to bridge accessibility gaps and support real-time captioning for audio-based communication.