Every year global cities swell in size. Modernization in techniques helps create sustainable cities for all. Cloud infrastructure providers strive to offer the highest level of availability across the infrastructure stack with the help of Fog Computing (FC) that was invented to deal with IoT interacting with wireless sensor networks (WSN) to enhance services. For intelligent devices to communicate efficiently, the Mobile ad-hoc network (MANET) in IoT is required. Intelligent devices that are connected together through the aforementioned networks may suffer from sudden errors in data storage and transfer thus the need for zero touch networks where devices can heal and adjust themselves to form autonomous networks based on data collected from different integrated network devices. In this work we aim to provide an overview of recent research works that combine FC, IoT and MANET technologies integrated together to build up sustainable cities. We illustrate works of three important applications that affect human daily life. While zero touch technologies are still in their early stages, we set a study of the latest information related to zero touch technologies and how AI supported by machine learning and data analytics constitutes a key enabler to fully autonomous future generation cities.

People with disabilities suffer from discrimination and obstacles that restrict them from participating in society on an equal basis with others every day. They are deprived of their rights to be included in ordinary school systems and even in the work market. In the process of raising awareness, facilitating daily routines, and developing guidance, the idea of assisting such people with handy tools/software arose and was implemented in the FamAid tool. FamAid offers people with hearing disability the opportunity to be engaged in the society through many facilities. In this work, we implemented a web application that serves as a community for people with disability who can use sign language to access the app. The app uses hand gesture recognition technique which is considered an active research field in Human-Computer Interaction technology to perform sign language translation to text. Afterwards, the text will be provided as input to the app where the output will be generated based on the request of the user. This research presents an application which is considered a gift for people with speaking and/or hearing disability as it makes their lives easier.