Real-time Meeting Proxy App -- 2
Budget: ₹12,500 – ₹37,500 INR
I'm looking for a Windows application that acts as a proxy for team meetings. It will listen in on meetings from my office laptop and provide responses in text based on the conversation.
Key Features:
- Real-time transcription of meeting discussions
- Summarized transcripts post-meeting
- Action item extraction during meetings
- Automatic language detection for multilingual meetings
Ideal skills and experience:
- Proficiency in app development for Windows
- Experience with real-time transcription and NLP technologies
- Familiarity with GPT models
- Multilingual processing capabilities
App Requirements – From Venkata
1. Audio Input
The app should listen to live Microsoft Teams meetings directly from my office laptop speaker output (not from microphone).
It should clearly detect each individual speaker and separate voices (Speaker 1, Speaker 2, etc.).
2. Real-Time Response
The app should generate instant text responses within 1–2 seconds.
The reply must sound human-like and not like AI.
It should understand when to give short answers or detailed answers based on the meeting conversation.
3. Pre-Meeting Context
Before the meeting starts, the app should accept:
Meeting context
Summary or background
It should use this information to respond correctly during the meeting.
4. During the Meeting
The app should:
Listen continuously
Identify who is talking
Process the conversation
Provide simple, clear English replies in my tone (as Venkata)
5. Post-Meeting Output
After the meeting ends, the app must automatically generate:
Full meeting summary
Action items / next steps
Key decisions
6. AI Model Requirements
The app must use the latest GPT models (GPT-5 or newer when available).
Should also support switching to other LLMs if required (e.g., Gemini, Claude).
7. Performance Expectations
Delay: 1–2 seconds max for real-time chat replies
Voice separation accuracy: High, with clear labeling
Responses must be:
Short by default
Detailed only when needed or when asked
8. Tone & Style
App responses must represent me (Venkata) as a human.
Should always use simple English, no complex paragraphs unless requested.
9. Additional Notes
The app should not repeat my voice when I speak.
It should only activate after detecting my voice first, then join the meeting.
The UI should include:
Live transcript
Identified speakers
Real-time generated replies
Post-meeting summary and actions
Key Features:
- Real-time transcription of meeting discussions
- Summarized transcripts post-meeting
- Action item extraction during meetings
- Automatic language detection for multilingual meetings
Ideal skills and experience:
- Proficiency in app development for Windows
- Experience with real-time transcription and NLP technologies
- Familiarity with GPT models
- Multilingual processing capabilities
App Requirements – From Venkata
1. Audio Input
The app should listen to live Microsoft Teams meetings directly from my office laptop speaker output (not from microphone).
It should clearly detect each individual speaker and separate voices (Speaker 1, Speaker 2, etc.).
2. Real-Time Response
The app should generate instant text responses within 1–2 seconds.
The reply must sound human-like and not like AI.
It should understand when to give short answers or detailed answers based on the meeting conversation.
3. Pre-Meeting Context
Before the meeting starts, the app should accept:
Meeting context
Summary or background
It should use this information to respond correctly during the meeting.
4. During the Meeting
The app should:
Listen continuously
Identify who is talking
Process the conversation
Provide simple, clear English replies in my tone (as Venkata)
5. Post-Meeting Output
After the meeting ends, the app must automatically generate:
Full meeting summary
Action items / next steps
Key decisions
6. AI Model Requirements
The app must use the latest GPT models (GPT-5 or newer when available).
Should also support switching to other LLMs if required (e.g., Gemini, Claude).
7. Performance Expectations
Delay: 1–2 seconds max for real-time chat replies
Voice separation accuracy: High, with clear labeling
Responses must be:
Short by default
Detailed only when needed or when asked
8. Tone & Style
App responses must represent me (Venkata) as a human.
Should always use simple English, no complex paragraphs unless requested.
9. Additional Notes
The app should not repeat my voice when I speak.
It should only activate after detecting my voice first, then join the meeting.
The UI should include:
Live transcript
Identified speakers
Real-time generated replies
Post-meeting summary and actions