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.)