HearMe AI currently a web-based prototype that enables users to efficiently record or upload audio, which is then transcribed and summarized. Built using Next.js, it leverages Deepgram's API for real-time transcription and Hugging Face for generating detailed summaries. The app is designed to streamline meeting reviews by providing concise summaries of discussions.

• Audio Recording & Uploading: Users can record audio directly from the web app or upload pre-recorded files.
• Automated Summarization: Transcriptions and summaries are generated automatically using cutting-edge AI.
• Email Summaries: Summaries are emailed to users for easy reference.
• Built with Next.js: A fast, scalable framework for building the web app prototype.
• Powered by Deepgram & Hugging Face: For advanced speech-to-text and summarization capabilities.

HearMe AI began as a final project aimed at revolutionizing how people revisit meetings. The prototype has garnered significant interest, with 150+ signups and 400+ waitlist viewers globally, marking the beginning of its journey.

1. Clone the repository:

   git clone https://github.com/your-username/hearme-ai.git
   cd hearme-ai

2. Install dependencies:

   npm install

3. Environment Setup: Create a .env.local file in the root directory with the following:

   NEXT_PUBLIC_DEEPGRAM_API_KEY=your_deepgram_api_key
   NEXT_PUBLIC_HUGGINGFACE_API_KEY=your_huggingface_api_key

4. Run the app:

   npm run dev

   The app will be available at http://localhost:3000.

• Full integration of advanced summarization features.

• Expansion to support a wider range of file types and languages.

• Official launch after prototype refinements.

• Launch of a windows app

• An android and ios app