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call-analysis

A project which enables video call transcription & analysis

A live deployment can be found at: https://call-analysis-official.vercel.app/

Core Technologies Used

  • AssemblyAI for core transcriptions and & audio intelligence
  • OpenAI for embeddings and LLM completions
  • Supabase for hosting & edge functions

Setting Up a Project

  1. In ./backend, you'll need to configure your deno settings and familiarize yourself with the supabase CLI to use functions. A good resource on this can be found here
  2. Get your Supabase DB URL and Anon Key and add it to your functions. process-video handles all uploads, transcriptions, and conversion of AssemblyAI's automatically generated chapters into embeddings which are stored & associated with a user's ID. To use these functions, you'll need both an OpenAI key and AssemblyAI key
  3. In ./frontend, install deps with npm install
  4. Add your Supabase URL and Anon Key as .env variables
  5. Run npm run start to start project.

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