Future<void> loadModel() async _interpreter = await Interpreter.fromAsset('smile_model.tflite');
_interpreter?.run(input, output); return output[0][0] * 100;
-- User streaks CREATE TABLE streaks ( user_id UUID PRIMARY KEY, current_streak_days INT, longest_streak_days INT, last_smile_date DATE ); 5.1 Smile Detection Pipeline (On-Device for privacy/speed) # Pseudo-code using MediaPipe Face Mesh import mediapipe as mp import cv2 import numpy as np mp_face_mesh = mp.solutions.face_mesh face_mesh = mp_face_mesh.FaceMesh(static_image_mode=False, min_detection_confidence=0.5)
-- Smile Frames (optional for detailed analysis) CREATE TABLE smile_frames ( id UUID PRIMARY KEY, session_id UUID REFERENCES smile_sessions(id), timestamp_offset_ms INT, score DECIMAL(3,2), symmetry DECIMAL(3,2), intensity DECIMAL(3,2), eye_squint BOOLEAN -- Duchenne marker );
1. Product Overview EVE Smile is a mobile-first application that uses computer vision, voice analysis, and positive psychology to help users improve emotional well-being through guided smile exercises, mood tracking, and real-time feedback.