E-Prescription on Voice – Smart Voice Assistant
A voice chatbot platform that provides a real-time AI conversation capability using voice input and audio output. Developed to create a seamless experience with human-like dialogue in the context of healthcare and virtual assistant use cases.
Team
2–3 Members
Duration
2 Months
Industry
Healthcare Technology
Product Overview
The Audio Chatbot is a voice-capable assistant designed to allow real-time conversations between users and artificial intelligence systems. The Audio Chatbot combines speech-to-text (STT), memory, and text-to-speech (TTS) into a single, responsive Langflow. Users can speak conversationally into a mic, receive contextual replies, and hear back their replies, all within seconds. The intelligent voice loop created using the Audio Chatbot increases accessibility, allows for hands-free usage, and is perfect for healthcare, virtual assistants, and voice-first applications.
How It Works
The voice assistant takes verbal queries through an audio interface, utilizes AssemblyAI for transcribing the spoken word, and analyzes the intent using OpenAI. The voice assistant returns human-like responses based on context, and can return structured prescription data or medical answers, all through Langflow for a fully automated workflow.
User Cases
- Clinics & OPDs – Enables hands-free consultation notes and prescription guidance.
- Telemedicine Platforms – Enhances remote consultation experience with real-time voice interaction.
- Patient Self-Care Systems – Allows users to get quick, conversational answers on medication or symptoms.
- Healthcare Kiosks – Supports walk-in patients with multilingual, voice-enabled guidance.
- Pharmacies – Helps validate prescriptions or offer drug interaction information through voice.
Benefits
- 80% Less Manual Typing for Doctors – Automates verbal-to-text prescriptions.
- Real-Time Medical Response – Responds within seconds during active voice interaction.
- 95% Accuracy in Speech Transcription – Ensures clarity and reliability in outputs.
- Natural Language Understanding – A Interprets questions with clinical intent and conversational nuance.
- Plug-and-Play with Any API – Integrates easily with backend healthcare systems.
- Audio Input Receiver – Captures real-time voice commands or recorded audio.
- AssemblyAI Transcription – Converts audio into accurate, structured text.
- Langflow Chat Pipeline – Orchestrates AI flow for processing and responding.
- OpenAI Language Model – Powers human-like and medically-aware conversations.
- Voice-to-Data Output Layer – Converts responses into structured JSON for backend systems.
Challenges
Missing Voice I/O Support in Langflow
Langflow didn’t have native components for audio input or output.
Real-Time Response Constraints
It was crucial to generate, process, and return the audio quickly for fluid conversations.
Complex Audio Flow Management
The flow would need to handle an arbitrary file upload, transcribe content, generate a response, and perform TTS – all smoothly.
Frontend Integration Needs
Some front-end was needed to record an audio file, send it, and play it back in sync with Langflow.
Solutions
Custom Audio Receiver & Parser
Created a custom component that accepts base64 audio and returns the file path neatly.
STT with AssemblyAI
Implemented job-based transcription for live voice-to-text recognition.
Context-Aware Chat with OpenAI
Used memory + prompt for a seamless, natural multi-turn conversation.
TTS Output with Langflow API
Produced the TTS response in base64 audio and returned it through the backend for instant playback.
Outcome
Technology Stack
Features
This AI-powered voice chatbot enables fluid, two-way communication using only audio. Key features include:
Voice-Based Input (Microphone recording support)
Real-Time Audio Processing with Langflow
Context-Aware Responses using prompt + memory
Text-to-Speech Output (TTS Integration)
Frontend API Integration for seamless UX
Support for Base64 audio handling
Modular Flow: Reusable for smart kiosks & assistants
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