 Implemented multiple linear regression algorithms to predict a situation of daily cases of Italy province based on recovery
    rate, death rate, total confirmed cases, & so on
 Categorized regions into red zone, green zone, orange zone by using K-Means algorithm
 Analyzed the situation of Italy by plotting various graphs showing mortality rate, fertility rate, cured rate & so on

 Developed a model using machine learning algorithm- Gradient Boosting Regressor Algorithm
 Created a dataset of an object with attributes like the real height of an object, distance b/w camera and object, the focal
    length of a camera & so on
 Used YOLOv3 framework to detect objects and create bounding box to detect the height of an object

 Created a Face Identification Model using Deep Learning Module LBPH (Local Binary Pattern Histogram), CNN (Convolution
Neural Network), Mobile NetV2
 Integrated the alarm system with an identification model which sent messages on identifying any unauthorized activity