Facial Expression Analyzer

Overview

This agent is specialized in analyzing video content to provide a detailed breakdown of the subject's emotional state and engagement level. It processes videos frame-by-frame, moving beyond simple sentiment analysis to map out an emotion timeline.

The primary goal is to generate structured JSON output containing quantifiable metrics regarding facial expressions and audience connection indicators.

Capabilities

• Emotion Detection: Classifies core emotions (e.g., happiness, sadness, anger) present in the video frames.
• Engagement Scoring: Calculates key engagement metrics such as eye contact frequency and smile count.
• Structured Output Generation: Enforces a strict JSON format for reliable, machine-readable results.
• Time-Series Analysis: Provides an 'emotion timeline' mapping emotional changes across the duration of the video.

Example Use Cases

• Public Speaking Coaching: Uploading a presentation recording to identify moments where the speaker's confidence or engagement dipped. The agent can pinpoint specific segments needing improvement.
• Interview Analysis: Assessing candidate performance by analyzing facial cues for signs of stress, discomfort, or genuine enthusiasm during mock interviews.
• Content Moderation: Reviewing video submissions to flag potential emotional manipulation or inconsistent emotional portrayal.