![]() ![]() Many a times while travelling, people get stuck in the middle of nowhere due to an empty fuel tank. ![]() The proposed framework's main concepts include: I assigning a degree of trust to each user based for accessing the videos basing on his previous history using the concept of artificial intelligent agent which takes care of publishing on the network and verifying the videos' integrity and delivery during the streaming process it leads to trouble our this approach there will be a center line authority that check and monitor the activity of the user and basing on it ethnicity the user gives the access permission to the videos maintaining the trust of activity performance by end user. Controlling and verifying content delivered to end-users is becoming an increasingly difficult activity the aim of this project is to propose a system for human-machine collaboration to ensure safe delivery of trustworthy video content over SMNs while minimizing deployment costs. Internal users who can upload and exploit vulnerable, entrusted, and unauthorized content are one of the most significant challenges that SMNs face. ![]() The demands of SMN users are rising making meeting those demands a difficult job. Furthermore, the ambulance driver may manage the traffic signals along the impending ambulance route by switching from red to green signals.īecause of their effect on our everyday lives, social multimedia networks (SMNs) have drawn a lot of interest from academia and industry. This method will aid in the updating of the ambulance location in the database. The navigator geolocation approach is used to track the ambulance's whereabouts. Once the user's position is located on the Google map, the close ambulance will also be marked on the map, Once the patient is on board, the ambulance position is indicated and sent to the administrator this location is then shared with the ambulance driver, and a list of hospitals is indicated on the map, allowing the administrator to select the nearest hospital to take the patient on time. Either the executive emergency helpline or client-side users will schedule an ambulance and the user login. Ambulance drivers will be able to register their availability and location via this app. Because everything in today's technology runs on smartphones and applications, we developed a mobile application that allows for real-time tracking of ambulance services. Because of the high traffic, the ambulance driver initially did not know the exact position of the accident site, and as a result, we were unable to save many people's lives. The project is divided into three modules: User, Admin, and Driver. We have chosen to create an application that would give a "Green Corridor " to the ambulance. It is preferred for other emergency vehicles, such as a fire engine. This is frequently not selected only for an ambulance. Because this plan is automated, it selects the optimum route, allowing you to get to the hospital on time. We are introducing a new mode dubbed "ambulance mode," which will regulate traffic within the ambulance's path. If the patient is trapped in traffic and is not provided the right route because of the holdup, he or she may die. Our project's major goal is to provide a smart method to an emergency vehicle during a peak hour and to create a smooth flow for the ambulance to get to the hospital on time. ![]()
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