This project showcases the development of an advanced AI application designed to enhance the efficiency of capturing and summarizing business meetings. By integrating OpenAI's Whisper technology, the application accurately transcribes spoken content into text. It further utilizes IBM Watson's AI to analyze the transcribed text and extract key points, providing concise summaries of discussions. The entire application is made accessible through a user-friendly interface developed with Hugging Face's Gradio, ensuring that it is intuitive for users without technical backgrounds. This application not only demonstrates the practical application of cutting-edge AI technologies but also the ability to create comprehensive solutions that address real-world needs in corporate and educational settings.

• Environment Setup: Configured a Python virtual environment and installed necessary libraries such as transformers, torch, gradio, langchain, and ibm_watson_machine_learning.
• Audio Handling: Installed and configured ffmpeg to manage audio files within the application.
• Speech-to-Text Implementation: Implemented OpenAI's Whisper model to convert spoken language into accurate textual transcriptions.
• Summarization Integration: Integrated IBM Watson's AI to process the transcribed text and extract significant insights and summaries.
• Interface Development: Utilized Hugging Face Gradio to develop an intuitive web interface that facilitates easy interaction with the application.
• Model Configuration: Set up and configured parameters for language models to tailor the AI's response generation to the project's needs.
• Transcription Functionality: Developed a transcription function that employs Whisper to convert speech to text, which is then processed for summarization.
• Output Presentation: Designed the system to display processed outputs directly in the Gradio interface, enhancing user experience.
• Testing and Debugging: Conducted thorough testing to ensure the application performs reliably and debugged issues as they arose.