Imagine attending a business meeting where all conversations are accurately transcribed and summarized by an advanced AI application. This was the vision behind my recent project, the Business AI Meeting Companion STT. Leveraging OpenAI’s Whisper and IBM Watson technologies, I developed a powerful tool that enhances meeting productivity and efficiency.
Project Overview: The project involved several key steps:
- Text Generation with LLM: Created a Python script using models from the Hugging Face Hub to generate text and identify key parameters influencing the output.
- Speech-to-Text Conversion: Implemented OpenAI’s Whisper technology to accurately convert speech into text.
- Content Summarization: Utilized IBM Watson’s AI to summarize transcribed content and extract key points.
- User Interface Development: Developed an intuitive and user-friendly interface using Hugging Face Gradio, ensuring ease of use for business professionals.
Learning Outcomes:
- Developed expertise in text generation with language models.
- Implemented reliable speech-to-text conversion for meeting transcriptions.
- Created effective content summarization for business insights.
- Built a seamless user experience with a responsive interface.
This project has been a rewarding experience, providing me with the skills to develop AI-powered solutions for business applications. The Business AI Meeting Companion STT is a testament to the potential of AI in transforming business operations. I look forward to exploring more innovative applications in the future.