Journal of Cognitive Human-Computer Interaction

Transportation is the major need of the worker and minor need for large number of people, government, and many organizations. Without transporting goods and cargo etc. There are many rental systems available in offline but the main disadvantage in it is the customers have to visit the company to pick up a vehicle. In order to save time and effort we introduce web based online vehicle rental system. The method that exists since now is offline vehicle rental system which is a major negative for most of the customers. There are only few companies are available offline not everyone knows about the company’s existing. To avoid the disadvantage in this offline vehicle rental system, many use a method of advertising and posting flyers for their companies to acknowledge their customers about vehicle rental system. The major advantage in our web based online vehicle rental system is that the customer can book their vehicle from anywhere and anytime to their need. Their rented vehicle will be delivered to their booked location. One can see available vehicle using their mobile phones from anywhere through internet connection.

Lost time is never found again is a great sounding slogan which signifies that how every single moment is valuable for a victim striving for life in an road accident. So there is a need for right medical care at the right time. The goal of our system is to detect an accident and rescue the victim as early as possible. The system uses GPS map camera with artificial intelligence to detect the accident and an android application in which the public, police and the hospitals can connect and collaborate with each other in a best possible way in case of an emergency or accident thereby reducing the number of deaths caused by accidents.

In today’s world, Gen Z finds it difficult to maintain attention during classes. Students tend to get distracted easily. With the flow of information all around them, a constant search for new activities is on the rise. To understand the needs of individual students the emotional status of the students are taken into account. Our education system uses Local Binary Pattern (LBP) algorithm for feature extraction and emotion intensity recognition. The extracted features are used as input for the AI algorithm which creates the personalized lessons for each individual according to their needs. The lessons are categorized into three categories based on their understanding capability along with the personalized time-line. This innovation helps students to achieve greater heights by using personalized lessons according to their capacity. A tracking system is implemented to monitor the emotions and attention level of the students, thereby ensuring successful completion of academics. As teachers, continuous acquiring of knowledge is vital. This innovative AI system helps teachers stay updated in their respective field. To provide security for the students while they are in the campus, the AI system using surveillance camera detects suspicious activities and alerts the respective in-charge to take necessary actions. As a result, we provide a better education system in all aspects.

This project aims to design a automated attendance system using face-recognition and MySQL database. We have presented our idea to implement an “Automated Attendance System Using Real Time Face recognition and MySQL Database”. The application includes face identification, which saves time as well as being purely software based it can be flagged as eco-friendly as it reduces the use of paper and also send a message to the student of his attendance record in the end of every day. This system also eliminates the chances of fake attendance because of the face being used as a biometric for authentication. This system avoids the concept of fake attendance where attendance plays an important role. The proposed system is designed in Python as well as SQL database. The algorithm used in the system compare the image captured encoded value with the value already available with us to recognize the face. The system has output in the form of MYSQL Database.

In modern world of advancement, cloud technology is taking its grip. COVID-19 also enhance the use of the cloud services. The cloud concept comes with the new advancement of technology, but with that data breaches and data hacks are also increasing. In the cloud-based environment, we suggested the model of security enhancement which, make use pf role-based security model where the files are shared according to the role and the access of such file is controlled using TPA validation and apart for that the concept of authentication of user is also suggested using the Pattern Lock based graphical system for pattern formation. The pattern obtained are validated using the various of online password or pattern strength validation tools, results which are obtained proves that pattern obtained through the proposed concept performs better against the attack.