Student Intelligence
Live attention scoring, writing participation & distraction mapping — 40 students
Avg Focus
—
score / 100
Highly Focused
—
students ≥ 70
Distracted
—
students < 40
Writing Active
—
students
Off-Task
—
students
Engagement
—
index / 100
Attention Scoring
Live Focus Level Tracker
Student
Focus Level
Score
Writing
Status
Writing Analysis
Active Participation Tracker
WRITING
—
/ 40 students
IDLE
—
/ 40 students
Participation Rate
0%
—%
100%
Currently Writing
Focus Distribution
Writing participation trend
last 12 ticks
Distraction Map
Classroom Seat View — 5 Rows × 8 Columns (40 seats)
Teacher's desk
Click or press Enter on any seat for details. Refreshes every 3 s.
Focused (≥70)
Moderate (40–69)
Distracted (<40)
Empty
Teacher Engagement
Ms. Anjali Verma — Mathematics · Live Session
Active Teaching
38min / 45
▲ 4 min vs avg
Teacher Talk Ratio
64%
▼ target ≤ 55%
Questions Asked
14total
▲ above avg (9)
Students Engaged
22/ 40 named
— back rows under-called
Voice Modulation
72/ 100
▲ Energetic
Positive Cues
9praise / 45m
▼ goal ≥ 12
Teaching Quality Breakdown
Classroom Coverage Heat-map
% time spent in each zone
48%
Front-L
31%
Front-R
14%
Back-L
7%
Back-R
Back rows received 21% of teacher attention — under-engaged
MEDHARA AI Coach
Suggestions to Boost Class Engagement
Generated from teacher & student signals — last 12 minutes
Updated just now · based on 6 live signals
Safety & Behaviour
Behaviour alerts, timestamped incident log & phone monitoring
Behaviour Alerts
Auto-Detected Incidents — Fights, Shouting & Non-Compliance
Incident Log
Auto-Timestamped Record — Every Flagged Event
| Timestamp | Type | Student(s) | Description | Confidence | Status |
|---|
Phone Detection
Unauthorized Device Monitoring — Real-Time AI Vision
MEDHARA vision AI detects mobile device usage via posture, hand position, and screen reflection analysis. Updates every 4 seconds.
Classroom Environment
Live sensor data — temperature, noise level & air quality
Temperature
—
°C
—
Comfort
—
30-min history
Optimal: 20–25°C · RTD wall sensor
Noise Level
—
dB
—
Level
—
Peak (1m)
—
30-min history
Optimal: 30–45 dB · MEMS microphone
Air Quality
—
AQI
—
CO₂
—
PM 2.5
—
Humidity
—
30-min history
Good: AQI 0–50 · BME680 + SDS011
30-Minute Environment Timeline
Live sensor readings over the last 30 minutes
Temperature (°C)
Noise level (dB)
AQI index