1. Face Recogni Ɵ on Based A Ʃ endance System (Arijit1080, GitHub) Challenges: Works fine in lab/light- controlled condi Ɵ ons, but fails under poor ligh Ɵ ng. No liveness detec Ɵ on → photo spoofing possible. Data storage insecure (o Ō en CSV/Excel). Real-world use: Purely academic/student project. Not reported in real deployments. URL : h Ʃ ps://github.com/Arijit1080/Face - Recogni Ɵ on -Based- A Ʃ endance -System 2. Face Recogni Ɵ on A Ʃ endance System (kmhmubin, GitHub) Challenges: Uses LBPH/Haar → accuracy drops with pose varia Ɵ on and masks. Dataset must be manually updated; no automa Ɵ on. No ERP/large- scale integra Ɵ on. Real-world use: Academic project; no evidence of ins Ɵ tu Ɵ onal use. URL: h Ʃ ps://github.com/kmhmubin/Face - Recogni Ɵ on - A Ʃ endance - System 3. Smart A Ʃ endance (Rohan12 -Stack) Challenges: Works with small class sizes only. Accuracy depends heavily on training images. Only logs into Excel, not scalable. Real-world use: Demo/student project; not deployed in schools. URL: h Ʃ ps://rohan12 -stack.github.io/smart- a Ʃ endance/ 4. Facial Recogni Ɵ on –HAAR-LBP (Vasant Vohra) Challenges: Lightweight, but very low accuracy in unconstrained environments. Cannot handle occlusions (masks, glasses). Real-world use: Prototype only, no large- scale adop Ɵ on. URL: h Ʃ ps://vasantvohra.github.io/Facial_Recogni Ɵ on -HAAR-LBP 5. Iden Ɵ ty Guard (Agrima Jain) Challenges: Stores a Ʃ endance in CSV (basic logging). Security & privacy not addressed. Real-world use: Academic/por ƞ olio project only. URL: h Ʃ ps://ughrima.github.io/projects/4_project 6. Intelligent A Ʃ endance System (SIH 2020 Project) Challenges: Built as a hackathon prototype, lacks enterprise-level security. Needs be Ʃ er integra Ɵ on with ERP systems. Real-world use: Piloted during Smart India Hackathon 2020 as a proof-of- concept, but no reports of live adop Ɵ on in schools. URL: h Ʃ ps://github.com/anshi -a2/Intelligent- A Ʃ endance -System 7. A Ʃ endance Management System (Ankita Gupta) Challenges: No liveness check, vulnerable to spoofing. Database & security design very basic. Real-world use: Student project, not deployed. URL: h Ʃ ps://ankitagupta1003.github.io/ATTENDANCE - MANAGEMENT-SYSTEM-USING-FACE-RECOGNITION 8. Facial Recogni Ɵ on A Ʃ endance System (Srihari Thyagarajan) Challenges: Performance drops in real classroom condi Ɵ ons. Not scalable beyond small groups. Real-world use: Academic project only. URL: h Ʃ ps://haleshot.github.io/project/facial - recogni Ɵ on - a Ʃ endance -system 9. Face- Recogni Ɵ on A Ʃ endance System (Anurag Gehlot) Challenges: ERP/dashboard integra Ɵ on limited. Dataset retraining needed frequently. Real-world use: Por ƞ olio project; not deployed. URL: h Ʃ ps://anuraggehlot.github.io/face - recogni Ɵ on - a Ʃ endance - system/ 10. A Ʃ endRx + Other GitHub Projects (topic collec Ɵ on) Challenges: Most lack liveness detec Ɵ on. Weak privacy compliance (no encryp Ɵ on, no consent workflows). Deployment requires expensive GPUs/cameras. Real-world use: Most are demos or research prototypes. URL: h Ʃ ps://github.com/topics/face - recogni Ɵ on - a Ʃ endance -system ?