Contact person: Business Client

Phone:Show

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Location: Rourkela, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am looking for an experienced AI/ML developer or a team to build a fully automated AI Smart Entry System for schools.
The system should identify students the moment they enter the classroom and instantly perform multiple intelligent tasks through cameras, sensors, and edge AI.

This is a real-time system that integrates computer vision, AI analytics, UI displays, and backend web technologies.

Core Features (Full Description)
1. Face Detection & Identification
High-accuracy face detection using live camera feeds.
Identify students instantly as they enter the classroom.
Maintain a secure student database with encrypted face embeddings.
Must work in real time (ideal target: < 300 ms per student).

2. Emotion Recognition + Behaviour Insights
Detect student mood in real time (happy, sad, tired, neutral, stressed, etc.).
Show mood on the display screen during entry.
Store daily emotional readings to generate:
Weekly mood trends
Behaviour patterns
Alerts for sudden emotional changes (e.g., repeated sadness/tiredness)

3. Automatic Attendance Recording
Once a student is recognized, attendance is automatically marked.
Sync with backend attendance database.
Teacher dashboard to view daily and historical attendance logs.
Optional: API for integration with existing school ERP/MIS.

4. AI Voice Greeting
A natural-sounding AI voice should greet each student.
Example:
“Good morning, Rohan. You look happy today.”
Voice output should be real time and triggered automatically upon detection.

5. Live Information Display
Display screen at the classroom entrance should show:
Student’s photo
Full name
Class/section
Current mood
Attendance status
Daily updates or announcements
Should support a clean, modern UI.

6. Smart Bag-Weight Estimation
Two possible implementations (developer may choose one or both):
Camera-based weight estimation using body posture, bag size, and depth sensing
Hidden physical weight sensor integrated near the door or floor mat
Results shown as:
Light
Normal
Heavy

7. Health & Wellness Monitoring
Basic non-invasive checks as the student enters:
Temperature scan (fever detection) using thermal/IR sensor or camera
Fatigue or sleep-deprivation detection through eye/face cues
Optional: stress indicators, cough detection
Flags can be sent to teachers or the school nurse.

8. Uniform & Dress Code Compliance
AI should detect:
Proper uniform
Correct shoes
ID card present or missing
Notify teachers only when a violation occurs (no student shaming)

9. Safety & Security Enhancements
Detect and alert if an unknown person enters.
Block entry or trigger a security notification.
Maintain secure logs for security review.

Backend & Dashboard
A web-based dashboard for:
Student database management
Attendance logs
Mood analytics
Health alerts
Uniform compliance logs
Visitor alerts
System settings (voice, sensitivity, etc.)" (client-provided description)