A Siri like AI Assistant

• Uses ChatGPT (or alternative LLM) for general queries
• Uses Wolfram Alpha API for anything math related
• Has built in NLP (using a NLI model) for determining if we can process query locally (skills system)
• Frontend/Backend architecture for ability to deploy lightweight clients

Skills

• Translations
• Alarms (potentally complete, if we use Timers logic)
• Calendar
• Gmail
• ChatGPT
• Reminders
• Timers - TODO: Adding in sound notifications.
• Todos
• Weather
• Wolfram
• NLP
• Speech to Text (frontend for sure)
• API
  • Authentication
  • General API
• TTS
  • generate audio on backend or frontend?
    • Perks of backend is fast generation
    • Cons of backend is large file transfers between devices, lots of internet usage
    • Perks of frontend is less data transfer between devices requiring less internet usage
    • Cons of frontend is slower generation
  • Current Solution: https://github.com/synesthesiam/opentts

API Specs

Using websockets for communication allows for two way communication where the server can send the client info at any point Link for example: https://stackoverflow.com/questions/53331127/python-websockets-send-to-client-and-keep-connection-alive More examples (includes jwt authentication, though this is in node.js, still useful for figuring out how to do this stuff): https://www.linode.com/docs/guides/authenticating-over-websockets-with-jwt/

Ideas

• Dashboard with api call counts (would require linking into all active skills, callbacks with class inheritance maybe?)

Wants, but limitations prevent

• tumble weed bounces by Oh, dear.