How sreeharicnair143/useless_project_temp works
Moody Mirror’s documented workflow starts when a user activates the camera, then loads an AI model, detects facial features in real time, classifies an expression, and generates a personalized roast. The README names TensorFlow.js and face-landmarks-detection as technologies. Source excerpts were unavailable, so the graph reflects documented capabilities and assigns application responsibilities to the only listed application file, index.html; internal call structure is not established.
Main entry points: index.html Face Detection
Components 9
Camera and Vision
- Webcam
- AI Model Loading
index.html - Face Detection
index.html - TensorFlow.js
- Face Landmarks
Mood and Humor
- Expression Classification
index.html - Roast Generation
index.html
User Interface
- Mirror Interface
index.html
Other components
- User
Connections 11
- User → Mirror Interface: starts camera
- Mirror Interface → Webcam: requests access
- Mirror Interface → AI Model Loading: loads model
- Webcam → Face Detection: streams frames
- AI Model Loading → Face Detection: enables detection
- Face Detection → TensorFlow.js: uses
- Face Detection → Face Landmarks: uses
- Face Detection → Expression Classification: provides features
- Expression Classification → Roast Generation: provides mood
- Roast Generation → Mirror Interface: returns roast
- Mirror Interface → User: shows roast