According to CNN-Health and as of June 2021, authorities have claimed over 174.4 million coronavirus cases and 3.8 million deaths since China reported the first case in December 2019. The objective of the project “MedBuddy” is to reduce the number of coronavirus cases among the medical staff and doctors when they must tend to the patients and administering the medications who are isolated in the general ward. This objective is achieved by designing and developing a Bluetooth controlled robot car built using the Arduino Uno microcontroller and equipped with a spare smartphone whose camera will be used to provide live feed to the application developed using MIT App Inventor. The robot is equipped with tray that allows the medicines to be delivered with an ease to the patients from a safe distance. This will result in making the timely delivery of medicines for the patients and will also reduce the unnecessary contact with the patients, minimizing the risk for medical personnel.

Procedural content generation (PCG) of terrains is one of the main building blocks for creating an automated and real-time virtual world. This study provides and in-depth review of the different tools, algorithms, and engines used for the PCG of terrains for the PCG of digital worlds; we focus especially on terrain generation but address also the main issues related to build structures and characters. It is important to know that the PCG of terrains can be implemented in a multidisciplinary scenario, for instance, modeling of games, simulating industrial maps, urban and rural planning of developments, government, and nongovernmental agency improvement plans. Many problems in current approaches were identified from the literature, where most of the researches studied were merely throwaway prototyping based, i.e., proof of concept-based systems, and were not tested in the real environment. Also, genetic algorithm-based PCG of terrains lack multiple features such as roads and buildings. The virtual cities generated through different engines were lacking a realistic look and feel. Terrain generation through multiobjective evolutionary algorithms (MOEAs) is investigated, and it is deemed the usage was restricted to the gaming domain and not extended to other fields. Findings suggest that the correctness of generated terrain is a big issue in the automatic generation of terrains. Thus, a focus on the automated correctness check is required. Other important content generation in video games such as structure generation and character generation has been extensively studied, and the techniques are analysed in the further sections of this research work.

According to the COVID-19 Weekly Epidemiological Update released by WHO on 4th May 2021, India accounted for 46% of the new global Covid-19 cases, with over 29.4 million Indians contracted with the deadly virus in totality. Additionally, India accounted for 26% of global death in that week, with over 0.37 million citizens having succumbed to Covid-19 since the pandemic has begun. Furthermore, a data suggested that around 20% of people who contract coronavirus show no symptoms and being around them could be a great risk. Ignorance towards the government guidelines about social gathering has resulted in a huge spike of cases. Thus, taking all of this into consideration the objective of the project “Automated Door System Using Arduino for Crowd Management” is to reduce or to an extent totally eliminate the manual work that goes into opening and closing doors using a PIR sensor to detect people and an Arduino Uno as the microcontroller. Furthermore, we intend to only allow a certain number of restricted people in the room, in accordance with the government's social distancing guidelines, in order to help stop or reduce the spread of the deadly virus.