AI Communication Manager for Real-Time Summarization
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Solution Overview
Problem
Current summary generators are inefficient and inaccurate, particularly in handling continuous user inputs from multiple sources like audio, video, and multimedia, and fail to generate follow-up questions in real-time.
Innovation Solution
A system for intelligent communication management that includes a processor, data interviewer, and data summarizer, utilizing artificial intelligence to collect and summarize user data from various sources, generate follow-up questions, and create a knowledge model for accurate and efficient summarization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry is used to organize holiday chronicles, then data can be stored in digital format, but the process becomes cumbersome and time-consuming with human errors
Solution Approach 1:
The patent replaces manual mechanical data entry with an automated AI system that uses natural language processing and machine learning to automatically organize and summarize holiday chronicles from photos and text inputs, eliminating manual typing while maintaining data accuracy through intelligent processing
Solution Approach 2:
The system enables self-service by automatically generating summaries and organizing data without requiring user intervention in the data entry process, allowing users to simply provide raw inputs while the AI handles the complex organization and summarization tasks
2Extent of automation
If memory applications organize memories in timeline format with dictation, then data can be automatically recorded, but no summary generation is provided making it difficult for others to enjoy the content
Solution Approach 1:
The patent segments the processing into distinct phases: automatic recording of raw inputs, intelligent analysis and extraction of key information, and generation of condensed summaries. This segmentation allows the system to maintain comprehensive automatic recording while producing distilled summarized content that is easily consumable by others
Solution Approach 2:
The AI processing system acts as an intermediary between the raw recorded memories and the final summarized output, transforming unprocessed dictation and photos into meaningful summaries that preserve essential information while making content accessible and enjoyable for family members
3Ease of operation
If voice assistant diary applications are used to record logs sentence by sentence, then user input is simplified, but no summary generation and no assistance for remembering information is offered
Solution Approach 1:
The system implements feedback mechanisms where the AI analyzes recorded voice inputs, identifies gaps or interesting patterns, and generates follow-up questions to prompt users to recall additional memories. This feedback loop enhances memory retrieval while maintaining the simplicity of voice input, and simultaneously creates comprehensive summaries from the enriched data
4Quantity of substance
If auto minute meeting generation platforms record entire data using audio input, then comprehensive data capture is achieved, but the process becomes cumbersome and inaccurate without voice user interface and real-time follow-up questions
Solution Approach 1:
The patent implements dynamic processing where the system adapts its questioning and summarization approach based on the specific content being recorded. The AI dynamically generates context-relevant follow-up questions and adjusts summarization strategies in real-time, transforming static audio recording into an interactive process that enhances both completeness and accuracy of the captured data
Data Source
AI summary
Examples of a system for intelligent communication management for content summarization are provided. In an example, the system receives a summary generation requirement. The system establishes a question database for generation a set of questions for a user corresponding to the summary generation requirement. The system implements an artificial intelligence component to sort the answers obtained from the question and generates a user-specific knowledge database. The system may use the user-specific knowledge model for generation of further questions for the user. The system may assist a user with collecting information in a conversational manner mode and to automatically produce intelligible deliverables. The system may accept multiple modes of input while collecting information from a user. The system may be used for an automatic summary generation for customer service conversations, interviews, conferences and presentations, a person's holiday chronicles, and the like. The system may be used for generating minutes for meetings.


