AI Exam Stress Detector

The AI Exam Stress Detector is an innovative project developed using PictoBlox and Artificial Intelligence. It detects the stress level of students during examinations by analyzing facial expressions through a webcam. The system uses AI-based emotion recognition to identify emotions such as fear, sadness, anger, and happiness. Based on the detected emotion, it calculates the stress percentage and provides smart suggestions to help students stay calm and focused. This project promotes mental wellness and demonstrates the practical use of AI in education and student health monitoring.

Material Used:

1. Pictoblox - A Coding Software
2. Face Detection Extension
3. Text-to-Speech Extension

Open PictoBlox

Create a New Project

Select:

1. Stage Mode
2. Python not required for this version

Click Add Extension and add:

1. Face Detection
2. Text to Speech

Create these variables:

1. emotion
2. stress
3. status
4. faces

when green flag clicked

turn video ON

set video transparency to 0

forever

if <face detected?> then

set [emotion] to (detected emotion)

if <(emotion) = [happy]> then

set [stress v] to (10)

set [status v] to [CALM]

if <(emotion) = [neutral]> then

set [stress v] to (40)

set [status v] to [NORMAL]

if <(emotion) = [sad]> then

set [stress v] to (70)

set [status v] to [STRESSED]

if <(emotion) = [angry]> then

set [stress v] to (80)

set [status v] to [HIGH STRESS]

if <(emotion) = [fear]> then

set [stress v] to (90)

set [status v] to [PANIC]

say (join [Stress Level : ] (stress))

say (join [Status : ] (status))

if <(stress) > (70)> then

speak [Please relax and take deep breaths]

if <(stress) > (40)> then

speak [Stay calm and focused]