In today’s fast world, everyone wants the information in one click. The same rule applies when you have some food items in front of you. In social events, few cuisines are known to us while some are not. Also, in a few cases, we know the cuisine name, but we are not aware of its nutritional value. This motivated us to develop a system that can identify the cuisine name from the image and gives the nutrient value for the same. Here Convolutional Neural Network (CNN) is used to predict the cuisine name present in an image and then further its nutritional value is calculated based on the information present in a database. User needs to click the image of the cuisine; the application will identify the cuisine name and its nutrition value for standard serving amount considering the cuisine is prepared using the standard recipe.

Most of the schools uses a school diary for communication between parent and teacher. But using this method has many limitations. In this paper we have researched about the various factors as to why this type of communication is not effective and why we should switch to digital communication. We have also reviewed our android mobile application ‘Guide N Grow’, which is used for digital communication between parents, school and teachers. By using this system, any school can make the communication between parent and teacher more effective. Parents can take care of their child’s academics and can also get the regular updates from the school. Due to the use of this system they can take their child’s performance at a good level. By considering all these factors one can make a school to a smart school.

The waiting lines and service systems are crucial parts of our daily life. Services like hospitals and clinics, banks, salons, restaurants, et cetera have a high influx of people during the working hours. Every system likes to avoid losing their desired customers due to a long wait in the queue. Increasing the number of servers obviously reduces waiting time, but is not the best solution since it adds expenses because the employees should be paid. On the other hand, not concerning about waiting time will result in customer dissatisfaction and ultimately the loss of valued customers. This article presents the analytical study of the overall time that a customer needs to spend on a hair salon for the current number of hairdressers as well as the impact of adding servers (hairdressers) on waiting time. It models the queuing system of the hair salon to optimize the waiting time for a customer who arrives at the salon. Further, it provides a basis to make a wise decision on adding servers. The system is modelled as a steady-state single queue, multi-server configuration system.

Document summarization is capable of generating user query relevant, precise summaries from the original document for user needs. To reduce the response time summary generation, QA corpus is built for similar questions and answer with help of learning model. It has been trained and tested by Quora duplicate and Yahoo! Answer datasets. The large QA corpus has been dynamically clustered with semantic features paves a way for efficient document’s retrieval. Answers are produced from datasets or generate summaries for unanswerable from the available sources. Results obtained from statistical significance test with hypothesis testing and evaluation with standard metrics proves the significant improvement in generating text summarization using QA corpus. The outcome is better in the producing close proximity of answers for the given user query.

Cloud computing is a mechanism for allowing effective, easy and on-demand network access to a shared pool of computer resources. Instead of storing data on PCs and upgrading softwares to match your requirements, the internet services are used to save data or use its apps remotely. It perform the function of processing and storing a database to provide consumers with versatility. For specialized computational needs, the supercomputers are used in cloud computing. Because of execution of such high performances computers, a great deal of power devoured and the result is that certain dangerous gases are often emitted in a comparable amounts of energy. Green computing is the philosophy that aim to restrict this technique by introducing latest models that would work effectively while devouring less resources and having less people. The basic goal of this study is to discuss the techniques of green computing for achieving low power consumption. We analyze multiple power management techniques used in the virtual enviroment and further green computing uses are mentioned. The advantages of green computing discussed in this study have shown that it help in cutting cost of companies, save enviroment and maintain its sustainability. This work suggested that researchers are becoming ever more invloved in green computing technology.