LLM + telephony

InfoBridge AI

Describe a customer in plain English and it finds the details, then reads them down a phone line.

What it is

A front-desk assistant for the details people keep asking for. Type or paste a sentence and Gemini pulls out the structured pieces — names, policy numbers, phone numbers, emails and company — instead of making someone search for them. From there the app can place a Twilio voice call and read the information back over the phone.

What it does

  • ▸Natural-language extraction with Google Gemini: unstructured text in, five kinds of structured field out — names, policy numbers, phone numbers, email addresses and company details.
  • ▸Twilio voice integration that places an outbound call and speaks the request through generated TwiML, with call status and call logs tracked per session.
  • ▸bcrypt-hashed authentication with register, login, and a password-reset flow. No password is stored in the clear.
  • ▸Session-scoped storage so extracted details stay grouped by conversation, with a browser UI for search, results and call management.

Stack

  • Python
  • Flask
  • Google Gemini
  • Twilio Voice
  • bcrypt
  • JavaScript

Pictures

Pictures coming soon

Video

Video coming soon

Live demo

Live demo coming soon

Source