Salunet

AI Text to Text (TT)+ AI Text to Speech (TS) + Context Based Prompting + Translation for Multiple Langauges

Project Overview

Salunet is an AI-powered medical translation platform built with Ruby on Rails, GPT-4o, and PostgreSQL. Designed for hospitals and clinics, it enables real-time voice-to-voice and text-to-voice communication between patients and medical professionals with accurate medical terminology support.

Key Features

  • Received the Diversity and Equality Award at Eastern Connecticut State University’s Business Pitch Competition.
  • Real-time Translation: Built a platform enabling seamless voice-to-voice and text-to-voice interaction between patients and medical staff.
  • Accurate Medical Terminology: Integrated STT and TTS models to deliver dynamic translations with medically precise language.
  • Role-Based Dashboards: Medical staff can manage patient lists, select translation modes, and control session flow.
  • Automatic Language Detection: Detects patient speech language in real time during audio translation sessions.
  • Context-Adaptive Prompting: Engineered advanced logic for emergency care, mental health scenarios, de-escalation, and general care.
  • Privacy & Reliability: Ensured secure communication and robust request handling across translation pipelines.

Tech Stack

Ruby on Rails PostgreSQL Devise HTML CSS Bootstrap