Social media is growing tremendously from last few years, and people are using social networking sites like Facebook, Instagram, Twitter etc. for sharing their opinions and their emotions for any social issue like CAA, Delhi rape case, elections etc. For expressing their views they use their native language for communication and the reason why lot for data is available for particular languages like Hindi, Marathi, Tamil, Telugu etc., and lot for work has been done on many Indian languages except Marathi. So in this paper we have discussed about Marathi Sentiment analysis and its challenges for data collection.
Covid-19 is an abruptly transmitting disease which started from Wuhan, China that not only infects humans but also animals. It has affected approximately 82.1 M people worldwide to date, according to statistics. People's day by day lives, their wellbeing and the economy of the nation are influenced by this destructive viral infection. It is a typical irresistible sickness thus far, and not a solitary nation could set up a fruitful antibody for it. Contaminated patients with Coronavirus have demonstrated that these kinds of patients are generally tainted with lung disease upon contact with the illness. The Gold Standard for coronavirus is Reverse Transcription-Polymerase Chain Reaction controls for COVID-19 diagnosis (RT-PCR). Nevertheless, the RT-PCR test facility is sluggish, rendering early detection of the disease difficult. More effective and readily available imaging methods for diagnosing lung-related conditions are chest X-ray (i.e., radiography) and chest CT scan. However, in comparison to chest CT scans, significantly chest X-ray is a lower cost procedure. In addition, we demonstrate in this study how convolutional neural network (CNN) can be useful for using chest X-ray images to detect Covid-19. In addition, we took the pre-analyzed view of CNN models and compared their performance after cleaning the images and applying data augmentation to Covid-19 affected chest X-ray scans of patients along with healthy patients. We trained it on 907 samples to evaluate the output of the model and tested it on 101 samples. The focus of this research is on the potential methods for classifying infected patients with COVID19 and not claiming any medical precision.
The purpose of this paper is to create an Inventory and Logistics Management software to assist inventory based businesses in placing orders and stock requests under the basis of their history of sales as datasets. By utilizing Machine learning algorithms, with user provided history of sales as datasets reliable predictions are provided to users to minimize wastage of stock and/or losses and the logistics supplier, transportation lines and methods are also determined. The software is designed to provide suggestions with regard to the management of stock to the user through user-provided information on their history of sales. It will take into account regional changes and dates to provide considerably accurate suggestions. It cannot consider consumer interest changes over time as this is incomputable data.
Real-Time Feedback system is a dedicated software designed to increase scholars (student's) classroom presence, interaction, and participation. It also appraise student level of understanding. This research work provides the tools, resources and techniques essential for peer to peer interaction as well as student-lecturer communication and learning. Through this system, students are empowered to embark on active and effective learning procedure. Users of the system can access course information, submit assignments and even do research on the subject matter. The system was developed using JavaScript and PHP as the programming language with HTML5 and CSS for the interface design. JavaScript is mostly put into use by system developers because it is a resourceful client-side programming language for web applications. JavaScript is an interpreted language, not a compiled language. JavaScript is also light-weight as compared to other programming languages that is very suitable for web development. We have been able to successfully build a software that allows lecturer give lecture at ease and also allows the lecturer measure the level of these student’s understanding. This developed system can be accessed by users ubiquitously. It is supported on major desktop and handheld devices which can connect to the cloud. The software thus offer undisputable forms of assistance to all classes of users (scholars) within and outside the classroom.
Farming is the most important occupation in India but has a very low contribution in GDP. Many problems faced by this sector have been analysed and an effort is made to address some of them with the help of the website demonstrated in this paper. This paper presents the lack of formalized and direct relationships between farmers and industries. The issue of insufficient supply chain is tried to be solved in this paper. This paper also tries to provide farmers with the recent updates regarding crops and government policies, encourage production of organic crops, which will help farmers and industries as well as the consumer leading to healthy India and want to ensure better positioning of small-scale industries in the market so they can easily compete with other industries. Also, one of the main focuses of the website is to implement some regional languages for better UI.
