app.py

# Pose-Think: AI-Powered Movement Analysis Suite - REAL-TIME VERSION
import cv2
import mediapipe as mp
import gradio as gr
import numpy as np

# MediaPipe initialization
mp_pose = mp.solutions.pose
mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils

def analyze_posture(image, analysis_type="basic", age=None, height=None, weight=None):
    """Advanced AI-powered posture analysis with biomechanical insights"""
    if image is None:
        return None, "❌ No image detected / Görüntü tespit edilemedi"
    
    # Convert BGR to RGB for MediaPipe processing
    rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    output_image = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2BGR)
    
    feedback = []
    technical_analysis = []
    health_recommendations = []
    
    # Enhanced profile analysis with biomechanical calculations
    if analysis_type == "enhanced" and (age or height or weight):
        profile_info = []
        biomechanical_analysis = []
        
        if age:
            profile_info.append(f"Age: {age} years")
            
            # Age-related biomechanical insights
            if age < 25:
                biomechanical_analysis.append("🧬 YOUNG ADULT: Peak bone density period (20-30 years)")
                biomechanical_analysis.append("💪 Muscle elasticity optimal - Focus on movement patterns")
                biomechanical_analysis.append("⚡ High metabolic rate supports posture correction")
            elif age < 45:
                biomechanical_analysis.append("🧬 ADULT: Bone density maintenance phase")
                biomechanical_analysis.append("💪 Muscle tone declining ~1% annually after 30")
                biomechanical_analysis.append("⚠️ Early prevention of postural deviations critical")
            elif age < 65:
                biomechanical_analysis.append("🧬 MIDDLE-AGED: Accelerated bone density loss (~1-2%/year)")
                biomechanical_analysis.append("💪 Sarcopenia onset - muscle mass loss 3-8%/decade")
                biomechanical_analysis.append("🦴 Increased risk of vertebral compression fractures")
            else:
                biomechanical_analysis.append("🧬 SENIOR: Significant structural changes in spine")
                biomechanical_analysis.append("💪 Advanced sarcopenia - strength loss 1.5-3%/year")
                biomechanical_analysis.append("⚠️ High priority: Fall prevention and spinal stability")
        
        if height and weight:
            bmi = weight / ((height/100) ** 2)
            profile_info.append(f"BMI: {bmi:.1f} kg/m²")
            
            # BMI-based biomechanical analysis
            if bmi < 18.5:
                biomechanical_analysis.append(f"📊 UNDERWEIGHT (BMI {bmi:.1f}): Reduced muscle mass affects postural stability")
                biomechanical_analysis.append("⚠️ Low body weight may indicate insufficient core strength")
                health_recommendations.append("🍎 Increase protein intake (1.6-2.2g/kg body weight)")
                health_recommendations.append("🏋️ Resistance training to build postural muscles")
            elif bmi < 25:
                biomechanical_analysis.append(f"✅ NORMAL WEIGHT (BMI {bmi:.1f}): Optimal loading for spinal structures")
                biomechanical_analysis.append("💪 Good weight distribution reduces joint stress")
            elif bmi < 30:
                biomechanical_analysis.append(f"⚠️ OVERWEIGHT (BMI {bmi:.1f}): Increased anterior load on lumbar spine")
                biomechanical_analysis.append("📈 Extra weight creates ~4x increased knee joint stress")
                biomechanical_analysis.append("🦴 Elevated risk of lower crossed syndrome")
                health_recommendations.append("🏃 Cardio exercise: 150min/week moderate intensity")
                health_recommendations.append("🧘 Core strengthening to counter anterior weight shift")
            else:
                biomechanical_analysis.append(f"🚨 OBESE (BMI {bmi:.1f}): Significant postural compensation patterns")
                biomechanical_analysis.append("📊 Increased thoracic kyphosis and lumbar lordosis likely")
                biomechanical_analysis.append("⚠️ High risk: sleep apnea affecting cervical posture")
                health_recommendations.append("🩺 Medical consultation recommended for weight management")
                health_recommendations.append("🏊 Low-impact exercise (swimming, aqua therapy)")
        
        if profile_info:
            feedback.append(f"👤 BIOMETRIC PROFILE: {' | '.join(profile_info)}")
            feedback.append("")
            
        if biomechanical_analysis:
            feedback.extend(biomechanical_analysis)
            feedback.append("")
    
    if analysis_type == "hand":
        # Advanced Hand Analysis with Biomechanical Insights
        with mp_hands.Hands(
            static_image_mode=False,
            max_num_hands=2,
            min_detection_confidence=0.5,
            min_tracking_confidence=0.5
        ) as hands:
            results = hands.process(rgb_image)
            
            if results.multi_hand_landmarks:
                hand_count = len(results.multi_hand_landmarks)
                feedback.append(f"✅ HAND DETECTION: {hand_count} hand(s) identified")
                technical_analysis.append("🔬 TECHNICAL ANALYSIS:")
                
                for idx, hand_landmarks in enumerate(results.multi_hand_landmarks):
                    mp_drawing.draw_landmarks(output_image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
                    
                    # Advanced finger analysis
                    landmarks = hand_landmarks.landmark
                    fingers_up = 0
                    finger_angles = []
                    tip_ids = [4, 8, 12, 16, 20]  # Thumb, Index, Middle, Ring, Pinky tips
                    pip_ids = [3, 6, 10, 14, 18]  # PIP joints
                    mcp_ids = [2, 5, 9, 13, 17]   # MCP joints
                    finger_names = ["Thumb", "Index", "Middle", "Ring", "Pinky"]
                    
                    # Calculate finger extension angles
                    for i in range(5):
                        tip_y = landmarks[tip_ids[i]].y
                        pip_y = landmarks[pip_ids[i]].y
                        mcp_y = landmarks[mcp_ids[i]].y
                        
                        if tip_y < pip_y:  # Finger extended
                            fingers_up += 1
                            # Calculate extension angle
                            if i > 0:  # Not thumb
                                extension_angle = abs(np.arctan2(tip_y - mcp_y, landmarks[tip_ids[i]].x - landmarks[mcp_ids[i]].x) * 180 / np.pi)
                                finger_angles.append(f"{finger_names[i]}: {extension_angle:.1f}°")
                    
                    # Hand analysis results
                    hand_side = "Right" if idx == 0 else "Left"
                    feedback.append(f"🖐️ {hand_side} HAND ANALYSIS:")
                    feedback.append(f"   • Fingers Extended: {fingers_up}/5")
                    feedback.append(f"   • Hand Symmetry: {'Normal' if hand_count == 2 else 'Single hand detected'}")
                    
                    # Technical measurements
                    if finger_angles:
                        technical_analysis.append(f"📐 {hand_side} Hand Extension Angles:")
                        for angle in finger_angles:
                            technical_analysis.append(f"   • {angle}")
                    
                    # Grip strength estimation based on finger positions
                    if fingers_up == 0:
                        feedback.append("   • Grip Pattern: FULL FIST - Strong grip indication")
                        technical_analysis.append("💪 Estimated grip strength: HIGH (all digits flexed)")
                    elif fingers_up == 5:
                        feedback.append("   • Grip Pattern: OPEN HAND - Relaxed extension")
                        technical_analysis.append("🤚 Hand state: RELAXED (full extension)")
                    else:
                        feedback.append(f"   • Grip Pattern: PARTIAL ({fingers_up} digits extended)")
                        technical_analysis.append(f"⚡ Mixed pattern: {fingers_up} extensors active")
                    
                    # Neurological assessment
                    wrist_landmark = landmarks[0]  # Wrist center
                    middle_finger_tip = landmarks[12]  # Middle finger tip
                    hand_span = np.sqrt((middle_finger_tip.x - wrist_landmark.x)**2 + 
                                       (middle_finger_tip.y - wrist_landmark.y)**2)
                    
                    technical_analysis.append(f"🧠 Neurological Indicators:")
                    technical_analysis.append(f"   • Hand-span ratio: {hand_span:.3f}")
                    technical_analysis.append(f"   • Fine motor control: {'GOOD' if fingers_up > 0 else 'GRIP DOMINANT'}")
                    
                    if fingers_up == 1:  # Pointing gesture
                        technical_analysis.append("☝️ Index pointing detected - Precise motor control active")
                    elif fingers_up == 2:  # Peace sign or similar
                        technical_analysis.append("✌️ Dual digit extension - Good finger independence")
                
                # Overall hand health assessment
                feedback.append("")
                feedback.append("🏥 HAND HEALTH ASSESSMENT:")
                if hand_count == 2:
                    feedback.append("✅ Bilateral hand function - Normal neurological presentation")
                    health_recommendations.append("🤲 Continue bilateral activities for brain health")
                else:
                    feedback.append("⚠️ Single hand visible - Ensure bilateral movement patterns")
                    health_recommendations.append("🔄 Practice bilateral coordination exercises")
                
            else:
                feedback.append("❌ NO HANDS DETECTED")
                feedback.append("🖐️ Position hands clearly in camera view")
                technical_analysis.append("🔍 Detection Parameters:")
                technical_analysis.append("   • Minimum confidence: 50%")
                technical_analysis.append("   • Tracking confidence: 50%")
                technical_analysis.append("   • Max hands: 2")
                health_recommendations.append("💡 Ensure good lighting for hand visibility")
                health_recommendations.append("🖼️ Use contrasting background for better detection")
    
    else:
        # Posture analysis
        with mp_pose.Pose(
            static_image_mode=False,
            model_complexity=1,
            enable_segmentation=False,
            min_detection_confidence=0.5,
            min_tracking_confidence=0.5
        ) as pose:
            results = pose.process(rgb_image)
            
            if results.pose_landmarks:
                mp_drawing.draw_landmarks(output_image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
                
                landmarks = results.pose_landmarks.landmark
                visible_parts = []
                
                # Check visible parts
                if landmarks[mp_pose.PoseLandmark.NOSE.value].visibility > 0.5:
                    visible_parts.append("Head")
                
                # Advanced Shoulder Analysis with Biomechanical Assessment
                left_shoulder = landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value]
                right_shoulder = landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value]
                
                if left_shoulder.visibility > 0.5 and right_shoulder.visibility > 0.5:
                    visible_parts.append("Shoulders")
                    
                    # Calculate shoulder level difference in degrees and millimeters
                    shoulder_diff = abs(left_shoulder.y - right_shoulder.y)
                    shoulder_angle = np.arctan2(right_shoulder.y - left_shoulder.y, 
                                              right_shoulder.x - left_shoulder.x) * 180 / np.pi
                    
                    # Estimate actual measurements (assuming average shoulder width of 40cm)
                    shoulder_width_pixels = abs(right_shoulder.x - left_shoulder.x)
                    if shoulder_width_pixels > 0:
                        pixel_to_mm = 400 / shoulder_width_pixels  # 400mm average shoulder width
                        height_diff_mm = shoulder_diff * pixel_to_mm * 1000  # Convert to mm
                    else:
                        height_diff_mm = 0
                    
                    technical_analysis.append("🔬 SHOULDER BIOMECHANICS:")
                    technical_analysis.append(f"   • Shoulder angle: {abs(shoulder_angle):.1f}° from horizontal")
                    technical_analysis.append(f"   • Height difference: ~{height_diff_mm:.0f}mm")
                    technical_analysis.append(f"   • Asymmetry ratio: {(shoulder_diff * 100):.1f}%")
                    
                    if shoulder_diff > 0.05:  # >5% asymmetry
                        if left_shoulder.y < right_shoulder.y:
                            feedback.append(f"⚠️ LEFT SHOULDER ELEVATED: {height_diff_mm:.0f}mm higher")
                            technical_analysis.append("🧠 Possible causes: Left upper trap hyperactivity")
                            technical_analysis.append("🦴 Compensation: Right lateral flexion likely")
                            health_recommendations.append("💆 Left upper trapezius stretching (30s x 3)")
                            health_recommendations.append("💪 Right side strengthening exercises")
                        else:
                            feedback.append(f"⚠️ RIGHT SHOULDER ELEVATED: {height_diff_mm:.0f}mm higher")
                            technical_analysis.append("🧠 Possible causes: Right upper trap hyperactivity")
                            technical_analysis.append("🦴 Compensation: Left lateral flexion likely")
                            health_recommendations.append("💆 Right upper trapezius stretching (30s x 3)")
                            health_recommendations.append("💪 Left side strengthening exercises")
                        
                        # Additional clinical insights
                        if shoulder_diff > 0.08:  # >8% asymmetry
                            feedback.append("🚨 SIGNIFICANT ASYMMETRY - Clinical assessment recommended")
                            technical_analysis.append("⚠️ Risk factors: Scoliosis, muscle imbalance, ergonomic issues")
                            health_recommendations.append("🩺 Consider physiotherapy evaluation")
                    else:
                        feedback.append("✅ SHOULDERS LEVEL - Excellent postural symmetry")
                        technical_analysis.append("✅ Normal shoulder girdle alignment")
                        feedback.append(f"📊 Asymmetry: {height_diff_mm:.0f}mm (Normal: <20mm)")
                
                # Advanced Elbow Joint Analysis with Biomechanical Calculations
                left_elbow = landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value]
                right_elbow = landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value]
                
                if left_elbow.visibility > 0.5 and right_elbow.visibility > 0.5:
                    visible_parts.append("Elbows")
                    
                    # Enhanced elbow angle calculations with clinical interpretation
                    try:
                        def calculate_angle(a, b, c):
                            """Calculate angle between three points using vector math"""
                            a = np.array(a)
                            b = np.array(b)
                            c = np.array(c)
                            radians = np.arctan2(c[1] - b[1], c[0] - b[0]) - np.arctan2(a[1] - b[1], a[0] - b[0])
                            angle = np.abs(radians * 180.0 / np.pi)
                            if angle > 180.0:
                                angle = 360 - angle
                            return angle
                        
                        def interpret_elbow_angle(angle, side):
                            """Clinical interpretation of elbow angles"""
                            if angle > 165:
                                return f"✅ {side} elbow: FULL EXTENSION ({angle:.1f}°) - Excellent mobility"
                            elif angle > 140:
                                return f"✅ {side} elbow: GOOD EXTENSION ({angle:.1f}°) - Normal range"
                            elif angle > 90:
                                return f"⚠️ {side} elbow: MODERATE FLEXION ({angle:.1f}°) - Check for tension"
                            else:
                                return f"🚨 {side} elbow: EXCESSIVE FLEXION ({angle:.1f}°) - Requires attention"
                        
                        # Left elbow biomechanical analysis
                        left_shoulder_pos = [left_shoulder.x, left_shoulder.y]
                        left_elbow_pos = [left_elbow.x, left_elbow.y]
                        left_wrist_pos = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,
                                         landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
                        
                        left_angle = calculate_angle(left_shoulder_pos, left_elbow_pos, left_wrist_pos)
                        feedback.append(interpret_elbow_angle(left_angle, "LEFT"))
                        
                        # Right elbow biomechanical analysis
                        right_shoulder_pos = [right_shoulder.x, right_shoulder.y]
                        right_elbow_pos = [right_elbow.x, right_elbow.y]
                        right_wrist_pos = [landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x,
                                          landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y]
                        
                        right_angle = calculate_angle(right_shoulder_pos, right_elbow_pos, right_wrist_pos)
                        feedback.append(interpret_elbow_angle(right_angle, "RIGHT"))
                        
                        # Bilateral comparison and clinical insights
                        angle_difference = abs(left_angle - right_angle)
                        technical_analysis.append("� ELBOW JOINT BIOMECHANICS:")
                        technical_analysis.append(f"   • Left elbow angle: {left_angle:.1f}° (Normal: 0-150°)")
                        technical_analysis.append(f"   • Right elbow angle: {right_angle:.1f}° (Normal: 0-150°)")
                        technical_analysis.append(f"   • Bilateral difference: {angle_difference:.1f}°")
                        
                        if angle_difference > 15:
                            feedback.append(f"⚠️ ELBOW ASYMMETRY: {angle_difference:.1f}° difference")
                            technical_analysis.append("🧠 Possible causes: Unilateral muscle imbalance")
                            health_recommendations.append("🔄 Bilateral stretching and strengthening")
                            health_recommendations.append("🏋️ Focus on weaker side strengthening")
                        else:
                            feedback.append(f"✅ ELBOW SYMMETRY: Good bilateral balance ({angle_difference:.1f}°)")
                        
                        # Movement quality assessment
                        avg_angle = (left_angle + right_angle) / 2
                        if avg_angle < 90:
                            technical_analysis.append("📊 Pattern: FLEXION DOMINANT - Possible anterior head posture")
                            health_recommendations.append("📱 Reduce screen time and improve ergonomics")
                            health_recommendations.append("🧘 Chest stretches and posterior deltoid strengthening")
                        elif avg_angle > 150:
                            technical_analysis.append("📊 Pattern: EXTENSION DOMINANT - Good postural alignment")
                            health_recommendations.append("✅ Maintain current activity patterns")
                        
                        # Clinical range of motion assessment
                        if left_angle < 30 or right_angle < 30:
                            feedback.append("🚨 SEVERE FLEXION CONTRACTURE detected")
                            technical_analysis.append("⚠️ ROM limitation: May indicate joint pathology")
                            health_recommendations.append("🩺 Urgent: Consult orthopedic specialist")
                        
                    except Exception as e:
                        feedback.append("⚠️ ELBOW ANALYSIS ERROR: Unable to calculate joint angles")
                        technical_analysis.append(f"🔧 Error details: {str(e)[:50]}...")
                        technical_analysis.append("💡 Ensure clear visibility of shoulder-elbow-wrist alignment")
                
                # Advanced Hip Analysis with Pelvic Biomechanics
                left_hip = landmarks[mp_pose.PoseLandmark.LEFT_HIP.value]
                right_hip = landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value]
                
                if left_hip.visibility > 0.5 and right_hip.visibility > 0.5:
                    visible_parts.append("Hips")
                    
                    # Calculate pelvic obliquity and rotation
                    hip_diff = abs(left_hip.y - right_hip.y)
                    pelvic_angle = np.arctan2(right_hip.y - left_hip.y, 
                                            right_hip.x - left_hip.x) * 180 / np.pi
                    
                    # Estimate pelvic measurements
                    hip_width_pixels = abs(right_hip.x - left_hip.x)
                    if hip_width_pixels > 0:
                        pixel_to_mm = 300 / hip_width_pixels  # 300mm average hip width
                        pelvic_tilt_mm = hip_diff * pixel_to_mm * 1000
                    else:
                        pelvic_tilt_mm = 0
                    
                    technical_analysis.append("🔬 PELVIC BIOMECHANICS:")
                    technical_analysis.append(f"   • Pelvic obliquity: {abs(pelvic_angle):.1f}° from horizontal")
                    technical_analysis.append(f"   • Hip height difference: ~{pelvic_tilt_mm:.0f}mm")
                    technical_analysis.append(f"   • Frontal plane deviation: {(hip_diff * 100):.1f}%")
                    
                    if hip_diff > 0.03:  # >3% asymmetry
                        if left_hip.y < right_hip.y:
                            feedback.append(f"⚠️ LEFT HIP ELEVATED: {pelvic_tilt_mm:.0f}mm higher")
                            technical_analysis.append("🦴 Pelvic pattern: Left lateral pelvic tilt")
                            technical_analysis.append("🧠 Compensation: Right hip adductor tightness likely")
                            health_recommendations.append("🧘 Right hip adductor stretching (30s x 3)")
                            health_recommendations.append("💪 Left gluteus medius strengthening")
                            health_recommendations.append("🔄 Single-leg balance exercises")
                        else:
                            feedback.append(f"⚠️ RIGHT HIP ELEVATED: {pelvic_tilt_mm:.0f}mm higher")
                            technical_analysis.append("🦴 Pelvic pattern: Right lateral pelvic tilt")
                            technical_analysis.append("🧠 Compensation: Left hip adductor tightness likely")
                            health_recommendations.append("🧘 Left hip adductor stretching (30s x 3)")
                            health_recommendations.append("💪 Right gluteus medius strengthening")
                            health_recommendations.append("🔄 Single-leg balance exercises")
                        
                        # Clinical implications
                        if hip_diff > 0.05:  # >5% asymmetry
                            feedback.append("🚨 SIGNIFICANT PELVIC OBLIQUITY - Assessment recommended")
                            technical_analysis.append("⚠️ Risk factors: Scoliosis, leg length discrepancy, SI joint dysfunction")
                            health_recommendations.append("🩺 Consider pelvic assessment by physiotherapist")
                            health_recommendations.append("📏 Leg length measurement recommended")
                    else:
                        feedback.append("✅ HIPS LEVEL - Excellent pelvic alignment")
                        technical_analysis.append("✅ Normal frontal plane pelvic position")
                        feedback.append(f"📊 Pelvic obliquity: {pelvic_tilt_mm:.0f}mm (Normal: <15mm)")
                
                # Advanced Cervical Spine and Head Position Analysis
                nose = landmarks[mp_pose.PoseLandmark.NOSE.value]
                if nose.visibility > 0.5:
                    shoulder_center_x = (left_shoulder.x + right_shoulder.x) / 2
                    shoulder_center_y = (left_shoulder.y + right_shoulder.y) / 2
                    
                    # Calculate forward head posture
                    head_offset_x = abs(nose.x - shoulder_center_x)
                    head_offset_y = nose.y - shoulder_center_y
                    
                    # Calculate craniovertebral angle approximation
                    cv_angle = np.arctan2(head_offset_y, head_offset_x) * 180 / np.pi
                    
                    technical_analysis.append("🔬 CERVICAL SPINE BIOMECHANICS:")
                    technical_analysis.append(f"   • Forward head posture: {head_offset_x:.3f} ratio")
                    technical_analysis.append(f"   • Craniovertebral angle: ~{abs(cv_angle):.1f}°")
                    technical_analysis.append(f"   • Head position: {head_offset_y:.3f} vertical offset")
                    
                    if head_offset_x > 0.08:  # Significant forward head posture
                        if nose.x < shoulder_center_x:
                            feedback.append(f"⚠️ FORWARD HEAD POSTURE: Left deviation ({head_offset_x:.2f})")
                            technical_analysis.append("🧠 Pattern: Left cervical side-bending with rotation")
                            health_recommendations.append("🔄 Right cervical rotation stretches")
                            health_recommendations.append("� Deep neck flexor strengthening")
                        else:
                            feedback.append(f"⚠️ FORWARD HEAD POSTURE: Right deviation ({head_offset_x:.2f})")
                            technical_analysis.append("🧠 Pattern: Right cervical side-bending with rotation")
                            health_recommendations.append("🔄 Left cervical rotation stretches")
                            health_recommendations.append("💪 Deep neck flexor strengthening")
                        
                        # Forward head posture implications
                        if abs(cv_angle) < 45:  # Severe forward head posture
                            feedback.append("� SEVERE FORWARD HEAD POSTURE detected")
                            technical_analysis.append("⚠️ Risk: Upper cervical hyperextension, suboccipital tension")
                            health_recommendations.append("📱 Immediate ergonomic assessment required")
                            health_recommendations.append("🩺 Consider cervical spine evaluation")
                        
                        # Muscle imbalance analysis
                        technical_analysis.append("💪 Muscle imbalance pattern:")
                        technical_analysis.append("   • Tight: Upper trapezius, levator scapulae, suboccipitals")
                        technical_analysis.append("   • Weak: Deep neck flexors, lower trapezius")
                        
                        health_recommendations.append("🧘 Chin tuck exercises (10 reps x 3 sets)")
                        health_recommendations.append("💆 Upper trapezius and levator scapulae stretching")
                        health_recommendations.append("🖥️ Monitor height adjustment (top 1/3 at eye level)")
                        
                    else:
                        feedback.append("✅ NECK CENTERED - Optimal cervical alignment")
                        technical_analysis.append("✅ Normal cervical lordosis maintenance")
                        if abs(cv_angle) > 50:  # Good craniovertebral angle
                            feedback.append(f"📊 Craniovertebral angle: {abs(cv_angle):.1f}° (Excellent: >50°)")
                
                # Enhanced Age-Specific Biomechanical Recommendations
                if analysis_type == "enhanced" and age:
                    feedback.append("")
                    feedback.append("🎯 AGE-SPECIFIC BIOMECHANICAL ANALYSIS:")
                    
                    if age < 25:
                        feedback.append("🧬 YOUNG ADULT PHASE (Peak Development):")
                        feedback.append("   • Bone density: Peak accumulation period (90% by age 20)")
                        feedback.append("   • Muscle mass: Optimal growth potential")
                        feedback.append("   • Neuroplasticity: High adaptation capacity")
                        
                        technical_analysis.append("📊 Physiological advantages:")
                        technical_analysis.append("   • Collagen synthesis: Peak efficiency")
                        technical_analysis.append("   • Proprioception: Excellent balance control")
                        technical_analysis.append("   • Recovery rate: 24-48 hours optimal")
                        
                        health_recommendations.extend([
                            "🏃 High-impact activities encouraged (bone loading)",
                            "🤸 Proprioceptive training for injury prevention",
                            "💪 Establish proper movement patterns now",
                            "📚 Ergonomic education for lifelong habits"
                        ])
                        
                    elif age < 45:
                        feedback.append("🧬 ADULT PHASE (Maintenance Period):")
                        feedback.append("   • Bone density: Peak maintained, slow decline begins (~30)")
                        feedback.append("   • Muscle mass: 1% annual loss after age 30")
                        feedback.append("   • Flexibility: Gradual decrease without intervention")
                        
                        technical_analysis.append("📊 Physiological changes:")
                        technical_analysis.append("   • Type II muscle fibers: Beginning to decline")
                        technical_analysis.append("   • Connective tissue: Reduced elasticity")
                        technical_analysis.append("   • Hormonal: Growth hormone decline affects recovery")
                        
                        health_recommendations.extend([
                            "🏋️ Resistance training 2-3x/week (muscle preservation)",
                            "🧘 Daily stretching routine (maintain flexibility)",
                            "⚖️ Weight management crucial for joint health",
                            "💼 Workplace ergonomics assessment recommended"
                        ])
                        
                    elif age < 65:
                        feedback.append("🧬 MIDDLE-AGE PHASE (Active Intervention):")
                        feedback.append("   • Bone density: Accelerated loss (1-2% annually)")
                        feedback.append("   • Sarcopenia: 3-8% muscle loss per decade")
                        feedback.append("   • Balance: Proprioceptive decline increases fall risk")
                        
                        technical_analysis.append("� Critical interventions needed:")
                        technical_analysis.append("   • Calcium absorption: Reduced efficiency")
                        technical_analysis.append("   • Postural muscles: Significant weakening")
                        technical_analysis.append("   • Spinal discs: Dehydration and height loss")
                        
                        health_recommendations.extend([
                            "🦴 Weight-bearing exercise essential (bone preservation)",
                            "⚖️ Balance training 3x/week (fall prevention)",
                            "💊 Vitamin D3 + K2 supplementation consideration",
                            "🩺 Annual bone density screening recommended"
                        ])
                        
                    else:  # 65+
                        feedback.append("🧬 SENIOR PHASE (Preservation Focus):")
                        feedback.append("   • Bone health: High fracture risk, especially vertebral")
                        feedback.append("   • Muscle power: 1.5-3% annual decline")
                        feedback.append("   • Postural control: Significant balance impairment")
                        
                        technical_analysis.append("� Age-related structural changes:")
                        technical_analysis.append("   • Kyphosis progression: Thoracic curvature increase")
                        technical_analysis.append("   • Disc height: 20-30% reduction from peak")
                        technical_analysis.append("   • Reaction time: Slowed protective responses")
                        
                        health_recommendations.extend([
                            "🚶 Daily walking program (maintain bone loading)",
                            "💺 Chair-based exercises if mobility limited",
                            "🏠 Home safety assessment for fall prevention",
                            "👥 Group exercise classes for social engagement"
                        ])
                
                # Comprehensive visible parts summary with clinical significance
                if visible_parts:
                    feedback.insert(0, f"✅ ANATOMICAL VISIBILITY: {', '.join(visible_parts)}")
                    feedback.insert(1, f"📊 DETECTION CONFIDENCE: {len(visible_parts)}/4 major regions")
                    feedback.insert(2, "")
                    
                    # Analysis completeness score
                    completeness_score = (len(visible_parts) / 4) * 100
                    technical_analysis.insert(0, f"🔬 ANALYSIS COMPLETENESS: {completeness_score:.0f}%")
                    if completeness_score == 100:
                        technical_analysis.insert(1, "✅ Full-body biomechanical assessment possible")
                    elif completeness_score >= 75:
                        technical_analysis.insert(1, "⚡ Comprehensive postural analysis achieved")
                    else:
                        technical_analysis.insert(1, "⚠️ Limited analysis - optimize camera positioning")
                        
            else:
                feedback.append("❌ POSE NOT DETECTED")
                feedback.append("📍 POSITIONING REQUIREMENTS:")
                feedback.append("   • Distance: 2-3 meters from camera")
                feedback.append("   • Lighting: Bright, even illumination")
                feedback.append("   • Background: Plain, contrasting surface")
                feedback.append("   • Posture: Stand naturally, arms relaxed")
                
                technical_analysis.append("🔧 DETECTION PARAMETERS:")
                technical_analysis.append("   • Model complexity: Level 1 (balanced speed/accuracy)")
                technical_analysis.append("   • Detection confidence: 50% minimum")
                technical_analysis.append("   • Tracking confidence: 50% minimum")
                technical_analysis.append("   • Segmentation: Disabled (faster processing)")
                
                health_recommendations.extend([
                    "💡 Improve lighting conditions for better detection",
                    "🖼️ Use solid background wall behind you",
                    "📐 Position entire body within camera frame",
                    "👕 Wear fitted clothing for clearer body outline"
                ])
    
    # Compile comprehensive feedback with technical insights
    final_feedback = []
    
    # Add main feedback
    final_feedback.extend(feedback)
    
    # Add technical analysis section
    if technical_analysis:
        final_feedback.append("")
        final_feedback.append("� ═══ TECHNICAL BIOMECHANICAL ANALYSIS ═══")
        final_feedback.extend(technical_analysis)
    
    # Add health recommendations section
    if health_recommendations:
        final_feedback.append("")
        final_feedback.append("🏥 ═══ EVIDENCE-BASED RECOMMENDATIONS ═══")
        final_feedback.extend(health_recommendations)
        
        # Add general wellness footer
        final_feedback.append("")
        final_feedback.append("📚 SCIENTIFIC BASIS:")
        final_feedback.append("• Analysis based on biomechanical research and clinical guidelines")
        final_feedback.append("• Recommendations follow evidence-based physiotherapy protocols")
        final_feedback.append("• For persistent issues, consult qualified healthcare professionals")
    
    return output_image, "\n".join(final_feedback)

# Global variables for real-time settings
current_analysis_type = "basic"
current_age = None
current_height = None
current_weight = None

def update_settings(analysis_type, age, height, weight):
    """Update global settings for real-time analysis"""
    global current_analysis_type, current_age, current_height, current_weight
    current_analysis_type = analysis_type
    current_age = age
    current_height = height
    current_weight = weight
    return f"✅ Settings updated: {analysis_type} mode"

def live_analysis(image):
    """Live analysis function for real-time processing"""
    global current_analysis_type, current_age, current_height, current_weight
    return analyze_posture(image, current_analysis_type, current_age, current_height, current_weight)

# Real-time Gradio Interface with enhanced AI feedback
with gr.Blocks(title="🎯 Pose-Think: Advanced AI Movement Analysis", css="""
    .gradio-container {
        max-width: 1400px !important;
    }
    .feedback-box {
        font-family: 'Monaco', 'Consolas', monospace;
        font-size: 12px;
        line-height: 1.4;
    }
""") as demo:
    
    gr.Markdown("""
    # 🎯 Pose-Think: Advanced AI Movement Analysis Suite
    ## ⚡ REAL-TIME biomechanical analysis with clinical insights
    
    **Enhanced AI feedback with technical measurements, biomechanical analysis, and evidence-based recommendations!**
    """)
    
    with gr.Row():
        with gr.Column(scale=1):
            gr.Markdown("### ⚙️ Analysis Configuration")
            
            # Analysis type selection
            analysis_type = gr.Radio(
                choices=[
                    ("🎯 Basic Posture", "basic"),
                    ("🎯 Enhanced Posture", "enhanced"), 
                    ("🤚 Hand Tracking", "hand")
                ],
                value="basic",
                label="Analysis Type"
            )
            
            # Profile info (for enhanced mode)
            gr.Markdown("### 👤 Biometric Profile (Enhanced Mode)")
            age_input = gr.Number(label="Age (years)", minimum=10, maximum=100, value=None)
            height_input = gr.Number(label="Height (cm)", minimum=100, maximum=250, value=None)
            weight_input = gr.Number(label="Weight (kg)", minimum=30, maximum=200, value=None)
            
            # Settings update button
            update_btn = gr.Button("⚙️ Update Analysis Settings", variant="primary", size="lg")
            settings_status = gr.Textbox(
                label="Configuration Status", 
                value="Ready for advanced real-time analysis", 
                interactive=False,
                lines=2
            )
            
            # Update settings when button clicked
            update_btn.click(
                fn=update_settings,
                inputs=[analysis_type, age_input, height_input, weight_input],
                outputs=[settings_status]
            )
            
            # Technical info
            gr.Markdown("""
            ### 🔬 Technical Features:
            - **Biomechanical calculations**
            - **Clinical angle measurements**
            - **Evidence-based recommendations**
            - **Age-specific analysis**
            - **Real-time processing**
            """)
        
        with gr.Column(scale=2):
            # Real-time interface
            gr.Markdown("### 📹 Live Biomechanical Analysis")
            
            live_interface = gr.Interface(
                fn=live_analysis,
                inputs=gr.Image(sources=["webcam"], streaming=True),
                outputs=[
                    gr.Image(label="🎯 Live Analysis with Landmarks"),
                    gr.Textbox(
                        label="📊 Advanced AI Feedback & Technical Analysis", 
                        lines=25,
                        max_lines=30,
                        elem_classes=["feedback-box"]
                    )
                ],
                live=True,
                allow_flagging="never",
                show_progress=False,
                title=None,
                description="Advanced real-time biomechanical analysis with clinical insights"
            )

    # Enhanced instructions and features
    gr.Markdown("""
    ## � Advanced Analysis Features
    
    ### ⚡ **Real-Time Capabilities:**
    - **🔴 Live Camera Stream**: Continuous biomechanical analysis
    - **⚡ Instant Technical Feedback**: Clinical measurements in real-time
    - **🔧 Dynamic Configuration**: Update settings while analyzing
    - **📊 Scientific Analysis**: Evidence-based biomechanical insights
    
    ### 🎯 **Enhanced Analysis Modes:**
    
    #### 🎯 **Basic Posture Analysis:**
    - Shoulder symmetry with angle calculations
    - Elbow joint range of motion assessment
    - Pelvic alignment and hip level analysis
    - Cervical spine positioning evaluation
    - Technical measurements in degrees and millimeters
    
    #### 🎯 **Enhanced Posture Analysis:**
    - All basic features PLUS:
    - BMI-based biomechanical load analysis
    - Age-specific physiological insights
    - Clinical risk factor assessment
    - Evidence-based exercise recommendations
    - Personalized intervention strategies
    
    #### 🤚 **Advanced Hand Analysis:**
    - Individual finger extension angles
    - Grip strength pattern assessment
    - Fine motor control evaluation
    - Neurological function indicators
    - Bilateral symmetry comparison
    
    ### 📊 **Technical Measurements:**
    - **Joint Angles**: Precise degree measurements using vector mathematics
    - **Asymmetry Ratios**: Percentage deviations from optimal alignment
    - **Distance Calculations**: Millimeter-level position assessments
    - **Range of Motion**: Clinical interpretation of movement patterns
    - **Biomechanical Loads**: Force distribution analysis
    
    ### � **Clinical Insights:**
    - **Muscle Imbalance Patterns**: Identification of tight/weak muscle groups
    - **Postural Syndromes**: Recognition of common dysfunction patterns
    - **Risk Assessments**: Injury probability and prevention strategies
    - **Age-Related Changes**: Physiological adaptations and interventions
    - **Evidence-Based Protocols**: Research-backed exercise prescriptions
    
    ### 💡 **Optimization Tips:**
    - **📸 Camera Setup**: 2-3 meters distance, eye-level positioning
    - **💡 Lighting**: Bright, even illumination from front
    - **🖼️ Background**: Plain, contrasting wall surface
    - **👕 Clothing**: Fitted garments for clear body outline
    - **⚡ Performance**: Close unnecessary applications for smooth processing
    
    ### 🩺 **Disclaimer:**
    This tool provides educational biomechanical analysis and should not replace professional medical assessment. 
    For persistent pain or significant postural deviations, consult qualified healthcare professionals.
    """)

if __name__ == "__main__":
    demo.launch(
    )