🎯 Executive Summary
Automatic conversion of audio/video meetings into structured minutes with decisions, action items and owners — eliminating manual secretary work.
💰 Estimated ROI: 80% time saved on minute preparation and 100% fewer forgotten actions; payback in under 6 months for meeting‑heavy organizations.
🏭 Target Industries: Government bodies, consulting firms, legal, holdings
⏱ Implementation Time: 4‑week pilot, 2–3‑month enterprise rollout
📊 Key KPIs: Time to produce minutes, action follow‑up rate, attendee satisfaction
📋 Technical Project Details
This system is designed for intelligent recording and management of meeting minutes, where the main challenge is improving accuracy in speech‑to‑text (ASR) and secure retrieval of confidential minutes. By creating multiple security layers, the system protects sensitive information and prevents unauthorized access. In addition, it can automatically detect the key points of meetings and generate intelligent reports — features that make administrative processes simpler and more efficient. Implementing accurate speech‑to‑text algorithms and entity extraction (NER) are among the key aspects pursued with high precision to minimize errors.
In the development stage, the focus was on increasing ASR accuracy for different languages, especially Persian, so that meeting speech is transcribed precisely. The system not only records the meeting content but, using artificial intelligence, also extracts and summarizes the main points, which reduces the time needed for review. The multi‑layer security system includes data encryption and access control, ensuring that confidential information is protected against external and internal threats. This approach is very useful in enterprise environments where sensitive meetings are held.
Beyond the technical aspects, the system emphasizes usability so that users can easily retrieve minutes and generate reports. By integrating NER technologies, entities such as names, dates and locations are detected automatically, which facilitates search and analysis. The project is ongoing and its progress reflects strong potential for use in large organizations, where managing meeting information is critical.
Ultimately, the goal of this system is to create an intelligent tool for recording and analyzing meetings that increases organizational efficiency. This shift from manual to digital not only improves accuracy but also guarantees security and saves time. As development continues, this system is expected to become a standard for meeting management across different sectors.