AI Speech & Gesture Enhancer
Budget: ₹1,500 – ₹12,500 INR
I need an AI-driven tool to improve my overall presentation skills. The AI should focus on:
Speech Clarity and Tone:
- Pitch and volume control
- Pacing and pauses
- Articulation and pronunciation
Gestures and Body Language:
- Hand movements
- Posture
- Facial expressions
The ideal candidate should have experience in AI development, particularly in the fields of speech processing and computer vision. Familiarity with machine learning algorithms and real-time feedback systems is a plus.
This project presents an AI-powered public speaking coach designed to enhance both verbal
and non-verbal communication skills through intelligent multimodal analysis. Users upload a
video of their speech, which is processed to extract and transcribe audio using Whisper, a
cutting-edge speech recognition model. Filler words and disfluencies are automatically
identified and removed, and a more fluent version of the speech is regenerated using advanced
text-to-speech synthesis. Simultaneously, pose estimation techniques such as MediaPipe or
OpenPose analyze the speaker’s posture, gestures, and eye contact. Detected issues in body
language—such as slouching, lack of expressiveness, or misalignment—are corrected through
pose transfer or animation techniques to produce an enhanced video demonstrating improved
delivery. The final output includes the AI-generated, polished video and a personalized
feedback report highlighting metrics like filler word frequency, speech rate, posture analysis,
and gesture effectiveness. This system offers a novel and practical solution for individuals
seeking to improve public speaking performance, with impactful applications in education,
professional development, and virtual communication settings.
here use models which are not present in any existing system because i want to publish the project
Speech Clarity and Tone:
- Pitch and volume control
- Pacing and pauses
- Articulation and pronunciation
Gestures and Body Language:
- Hand movements
- Posture
- Facial expressions
The ideal candidate should have experience in AI development, particularly in the fields of speech processing and computer vision. Familiarity with machine learning algorithms and real-time feedback systems is a plus.
This project presents an AI-powered public speaking coach designed to enhance both verbal
and non-verbal communication skills through intelligent multimodal analysis. Users upload a
video of their speech, which is processed to extract and transcribe audio using Whisper, a
cutting-edge speech recognition model. Filler words and disfluencies are automatically
identified and removed, and a more fluent version of the speech is regenerated using advanced
text-to-speech synthesis. Simultaneously, pose estimation techniques such as MediaPipe or
OpenPose analyze the speaker’s posture, gestures, and eye contact. Detected issues in body
language—such as slouching, lack of expressiveness, or misalignment—are corrected through
pose transfer or animation techniques to produce an enhanced video demonstrating improved
delivery. The final output includes the AI-generated, polished video and a personalized
feedback report highlighting metrics like filler word frequency, speech rate, posture analysis,
and gesture effectiveness. This system offers a novel and practical solution for individuals
seeking to improve public speaking performance, with impactful applications in education,
professional development, and virtual communication settings.
here use models which are not present in any existing system because i want to publish the project