🎭 Emotion Recognition System
Advanced AI-powered emotion detection supporting 70+ human emotions. Upload an image or use your camera to analyze facial expressions and emotional states in real-time. Human facial expressions are a primary way of conveying emotions such as happiness, anger, sadness, calmness, and surprise. Automatically detecting emotions from facial images enables computers to understand human feelings and respond intelligently. Facial emotion recognition is an important field in artificial intelligence, computer vision, and human–computer interaction. This project, Predictive Emotion Analysis, focuses on detecting human emotions from facial images captured in real time through a webcam or uploaded by the user. The system analyzes facial features using image processing and machine learning techniques to classify emotions such as happy, angry, calm, rude, cool, and love.
- 1 Click Upload Image and select a photo from your device
- 2 Scanning starts automatically after selection
- 3 View emotion results in the Results panel on the right
- ✅ Use clear, high-resolution images
- ✅ Face must be front-facing and visible
- ✅ Avoid blurry or pixelated photos
- ✅ Good lighting improves accuracy
- ✅ Supports group photos — up to 3 faces detected
- ❌ Avoid heavily filtered or edited images
- ❌ Avoid images with face coverings (masks, sunglasses)
- ❌ Avoid side profiles — use frontal view
- 1 Click Live Camera and allow camera permission
- 2 Position your face clearly within the preview box
- 3 Click "Capture & Analyze" to scan emotions
- ✅ Use natural daylight or bright room light
- ✅ Keep your face centered in the frame
- ✅ Maintain 30-60 cm distance from camera
- ✅ Ensure even lighting — no strong shadows on face
- ✅ Keep your face still while capturing
- ❌ Avoid backlit environments (bright light behind you)
- ❌ Avoid dim or dark rooms for best accuracy
- ❌ Avoid wearing hats or glasses that cover features