aspg-3-3107-1791419561 20261008003241 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2025 17 1 K. Anji Reddy Senior Assistant Professor, Department of Computer Applications, V.R.Siddhartha Engineering College, Vijayawada, India K. Sivarama Krishna Associate Professor, Dept. of CSE, Andhra Loyola Institute of Engineering and Technology, Vijayawada, India Bhanu Prakash Battula Professor & Head,Department of CSD,KKR & KSR Institute of Technology and Sciences, Guntur, India Bajjuri Usha Rani Sr.Assistant Professor,Lakireddy Bali Reddy College of Engineering (A), Mylavaram, India P. V. V. S. Srinivas Associate Professor, Dept. of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram Guntur, Andhra Pradesh, India For many years, scientists have studied the way people express their emotions through body language and facial expressions. However, it is extremely difficult to accurately interpret the emotions of a person from just a single image. Interpreting facial emotions in photographs is a complex task. It is challenging to accurately detect facial emotions with the help of neural networks when the face is occluded with fragmentary blocks. With the advent of technology, emotion detection has become more accurate and reliable. It is now possible to use facial expression recognition in images to detect emotions such as happiness, sadness, anger, fear, surprise, and more. This research discusses the effectiveness of using neural networks to identify facial emotions in photographs with occlusions present. The datasets like Fer2013 dataset, CREMA-D and RAVDESS were used to train the model and the datasets were altered by implanting occlusions randomly in the images. The altered datasets were also used to evaluate the model. The challenges and opportunities that arise when neural networks are used in this context are explored. Additionally, insight is also provided into the best approach to accomplish the task. 2025 146 158 3107 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.170111 https://www.americaspg.com/journal/3/article/3107 https://www.americaspg.com/storage/71723207702.pdf