Facial expressions are the fastest means of communication while conveying any type of information. These are not only exposes the sensitivity or feelings of any person but can also be used to judge his/her mental views. Facial detection in images is the foremost step towards facial recognition and expression recognition along with face localization. High degree of variability in the images that can be obtained of faces due to varying conditions of lighting, exposure, color and expression. Using Machine learning tools and algorithms such as OpenCV 3.4.0 and the Haar Cascade Classifier. This research paper details our approach towards creating a semi-automated with a slight degree of human program which can be used to simultaneously detect multiple users and provide an effective solution to facial recognition using minimal amount of resources. Keywords-Face detection, Machine Learning, Feature Extraction, Image Processing, Neural Networks, OpenCV.