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+==== Beyond the Mask: Reimagining Facial Recognition with Deep Transfer Learning ====
+** [added 2025-08-21] **
+** Course:**  {EECS4480}
+** Supervisors:**  Sunila Akbar
+** Supervisor's email address: ** sunila@yorku.ca
+** Project Description: ** "The project involves adapting a state-of-the-art, pretrained deep learning model for facial recognition to accurately identify individuals wearing masks. The student will utilize publicly available datasets and apply data augmentation techniques to simulate mask-wearing scenarios. Transfer learning will be employed to fine-tune the model for this specific task. The performance of the resulting model will be rigorously evaluated against established benchmarks.
+Application Domain: The proposed solution has relevance in environments where mask-wearing is mandatory, such as healthcare facilities, long-term care homes, food service industries, and chemical or pharmaceutical plants. Accurate masked facial recognition can enhance access control, attendance tracking, and safety compliance in these critical settings."
+** Required skills or prerequisites: **
+Python, PyTorch, NumPy, Scikit-learn, OpenCV
+Knowledge of any deep learning model is a plus
+Hyperparameter tuning and optimization
+Understanding of image processing techniques and object detection evaluation metrics
+General interest in computer vision algorithms and applications
+** Instructions:** Send CV, Transcript to the instructor (Sunila).
+----
 ==== Smart Tools for Smarter Brain Scans: Motion Correction in fMRI  ====