2) Project Description:
AOScribe is an AI-driven tool designed for transcription and summarization of meeting minutes from audio recordings. The project will encompass the following key components:
a) Audio Processing Module:
Use existing advanced speech recognition algorithms API to convert audio to text
Support multiple audio formats (MP3, WAV, M4A)
Handle multi-speaker recognition, differentiation and sentiment
b) AI-Powered Summarization Engine:
Utilize natural language processing (NLP) API for content analysis
Develop custom algorithms for extracting and construction of points and action items
Provide base data for Syndi AI
c) User Interface:
Create an intuitive web-based interface for uploading audio files and accessing transcripts/summaries
Develop Desktop application that is flexible for use on mobile with browsers for iOS and Android platforms
Implement user authentication and data security measures
Provide management for audio files and generated reference web data that is accessible
d) Integration Capabilities:
Develop with a path that will provide for future API integration with other management tools
Develop with a path that will provide for future API plugins for video conversion to audio file for transcription
e) Accessibility Features:
Provide with a path way for the ability to Implement speech-to-text for live streaming for audio transcription
3) Impact:
AOScribe aims to provide meeting documentation through transcription and AI-driven summarization of meeting minutes. By providing accurate and concise meeting documentation, AOScribe enhances productivity and accessibility for users. Save an estimated 2-3 hours per week for regular meeting participant. Achieve in speech-to-text transcription and AI-generated summaries for savings in time for management tasks. Enable quick review of past meetings through concise summaries. Facilitate better tracking of action items and commitments. Creates a set of data that is searchable for meeting transcripts for organizational knowledge management
4) Project Timeline, Milestones, and Deliverables:
Start
Kick-off payment: 0% - $0
Fully functional web application for desktop and mobile browsers (iOS/Android)
Milestone 1: 34% - $334 - August 21st 2024:
Documentation for integration
Milestone 2: - 33% - $333 - September 7th 2024
User readme and code accessible in Github
Security and data privacy standard and configuration
Milestone 3: - 33% - $333 - September 21st 2024
5) Is / will this project be open-sourced?
Yes will be post under the title on my github omacox/AOScribe
1) Total grant amount: $1000
2) Project Description: AOScribe is an AI-driven tool designed for transcription and summarization of meeting minutes from audio recordings. The project will encompass the following key components:
a) Audio Processing Module:
b) AI-Powered Summarization Engine:
c) User Interface:
d) Integration Capabilities:
e) Accessibility Features:
3) Impact:
AOScribe aims to provide meeting documentation through transcription and AI-driven summarization of meeting minutes. By providing accurate and concise meeting documentation, AOScribe enhances productivity and accessibility for users. Save an estimated 2-3 hours per week for regular meeting participant. Achieve in speech-to-text transcription and AI-generated summaries for savings in time for management tasks. Enable quick review of past meetings through concise summaries. Facilitate better tracking of action items and commitments. Creates a set of data that is searchable for meeting transcripts for organizational knowledge management
4) Project Timeline, Milestones, and Deliverables:
5) Is / will this project be open-sourced? Yes will be post under the title on my github omacox/AOScribe
6) ZeroAuthorityDAO profile link: https://zeroauthority.xyz/profiles/SP3W5P38N76P51B83MKE35XYW0WVM626CGG0HD3GH