Develop an AI Confidence Coach for Analyzing and Improving Communication

[afiDPS]

Overview:

We are building an Agentic AI Coach to help individuals understand if their communication shows signs of low self-esteem and guide them toward communicating with higher confidence. The AI Confidence Coach should analyze user-written or spoken communication and provide actionable suggestions to improve confidence in tone and content.

The goal of this issue is to develop a Confidence Coach AI that:

• Accepts user-input text or transcribed speech for analysis.
• Identifies phrases and patterns indicating low self-esteem (e.g., excessive apologizing, hedging, minimizing language).
• Provides detailed suggestions to replace low-confidence language with more assertive alternatives.
• Helps users practice by resubmitting revised communication to see further feedback.

Requirements:

1. Input Options: Accept text input or transcribed speech.
2. Analysis Features:
   • Identify low-confidence cues such as hedging, excessive apologizing, passive voice, and minimizing phrases.
   • Highlight areas where language can be made more assertive.
   • Provide suggestions for improvement (e.g., replace "I just think..." with "I recommend...").
3. Suggestions Output:
   • Offer specific, actionable suggestions to improve confidence in the text.
   • Rate the confidence level in different sections (e.g., "Confidence Level: 3/5 - Consider using more direct language here").
4. User Feedback Loop: Allow users to resubmit their revised communication to track progress and receive additional feedback.

Expectations:

• A working model that can analyze communication and return structured feedback.
• Code documentation explaining how to integrate the Confidence Coach into our existing Agentic AI Coach framework.

Note:
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Support:
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