Generate E-Prescription using AI (Pre-recorded Audio/Video) – Smart Meeting Summarizer
An AI-powered tool that turns pre-recorded meeting audio into clean, structured summaries—automating documentation and saving hours of manual work.
Team
2–3 Members
Duration
2 Months
Industry
Healthcare Technology
Product Overview
The Smart Meeting Summarizer is an AI-driven solution designed to convert meeting recordings into structured, easy-to-read summaries. Built using Langflow, AssemblyAI, and OpenAI, the system automates the entire process, right from audio upload to summary generation. It helps teams save time, reduce manual documentation, and improve the consistency of meeting records. Ideal for healthcare consultations, interviews, or internal team reviews, it delivers readable insights from raw audio files with zero manual effort.
How It Works
The system utilizes pre-recorded audio of the meeting or consultation as input. It now uses AssemblyAI to transcribe the speech to text, and then it processes the transcript to summarize the context using OpenAI. This entire process is set up to run automatically using Langflow, which will serve you the clean summary and all transcripts, allowing you to follow up on documentation or later persist and reflect on that meeting.
User Cases
- Healthcare Consultations – Automatically document doctor-patient conversations into structured records.
- Telehealth & Video Calls – Summarize recorded appointments for compliance and follow-ups.
- Medical Transcription Services – Automate the conversion of audio notes into readable clinical reports.
- Research Interviews – Convert expert conversations into summary documents.
- Therapy Sessions – Log conversations and generate mental health summaries with minimal manual effort.
Benefits
- 80% Time Saved in Summarization – Cuts down hours of manual transcription and note-taking.
- Dual Output: Transcript + Summary – Get raw text and a simplified, readable version in one flow.
- 90% Context Accuracy – Delivers high-fidelity summaries using AI language understanding.
- Zero Manual Intervention Needed – From upload to output, the workflow is fully automated.
- API-Ready Output – Easily plug summaries into dashboards or EMR systems.
- Audio Upload API – Accepts recordings via API from any frontend.
- AssemblyAI Transcriber – Performs accurate speech-to-text conversion.
- Transcript Poller Node – Monitors job status and fetches results post-transcription.
- OpenAI Summarizer – Processes transcripts and generates human-readable summaries.
- Langflow Workflow Engine – Orchestrates end-to-end processing and output handling.
Challenges
Manual Note-Taking Inefficiencies
Creating summaries from meetings manually consumed time and lacked consistency.
Unstructured Output
Traditional notes were often disorganized and missed essential metadata.
Lack of Automation
No existing system to process uploaded meeting files from start to finish.
Post-Build Technical Constraints
Polling delays, tight coupling, and limited real-time capabilities surfaced during testing.
Solutions
Automated Langflow Pipeline
Designed a full flow from file upload to transcription and summary generation.
AssemblyAI Integration
Enabled fast, accurate audio-to-text transcription with polling management.
OpenAI Summarization Logic
Added a prompt-driven summary generator for clean, human-friendly documentation.
Reusable Modular Architecture
Designed components that can be reused for podcasts, consultations, or team meetings.
Outcome
Technology Stack
Features
This AI-driven process converts raw meeting audio into accurate, readable summaries with minimal manual intervention. Key features include:
Audio Upload via API from any frontend
AssemblyAI for accurate speech-to-text transcription
Context-Aware Summarization using OpenAI
Returns both raw transcript and clean summary
Fully automated workflow from input to output
Easy integration into web or mobile dashboards
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What Our Customers Say
Nino gorgia
SmartDocs
DreamSoft4u delivered an excellent quality of work at pocket-friendly pricing. They agreed to develop an EMR-EHR-PHR solution with our frequent change requests and bug reports during the development phase. But the team stayed polite during the communication and asked for frequent feedback. Working with them was a pleasure, and their hard work is highly appreciated.
Nitin Chooda
IntouchEMr
Considering DreamSoft4u’s more than 15 years of experience in healthcare software development, I outsourced my mHealth app’s dream project. Not only did they meet my expectations, but they also handed me over a best-in-class mHealth solution competent to combat other contenders in the market. That too at a cost-effective pricing and faster time to market.
Rick Tran
EPIC EMR Integration
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MRCS
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Cyomed
Choosing DreamSoft4u for my custom healthcare software solution was the right choice, and working with them was a pleasure. I strongly recommend DreamSoft4u for any healthcare software solution or mobile app development need as they possess vast experience and a team of experienced developers in the healthcare industry.
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Sniffle
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