Research Papers - Dept of Information Technology
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593
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Publication Open Access Automated Customer Care Service System for Finance Companies(NCTM, 2014-12-16) Warnapura, A. K; Rajapaksha, D. S; Ranawaka, H. P; Fernando, P. S. S. J; Kasthuriarachchi, K. T. S; Wijendra, DIn general, to obtain information about a product one should visit the company or contact the company via a phone call or some sort of a communication type, for example E-mail. Even so under normal circumstances the customer will receive the necessary information sent by a human being. There can be many disadvantages in this method. At the onset if a particular customer gives a phone call to the company the customer will have to wait for a considerable time. This is obvious because due to lack of human resources and phone lines there may be a question of customers waiting to get connected to the company line. On the other hand if a customer sends an email, the reply for the email will take time because the particular email should be perused by another human being at company in order to reply. These are few disadvantages apart from human errors that can happen. Ultimately as a result of above detrimental facts a faithful customer could get unsatisfied and lose confidence on a particular company. However, in the system that we are going to introduce, a particular customer can get any type of information in real time by the Aid of the Artificial Intelligence in the form of text/voice or E-mails. The advantages over the other method are that the customers will not have to wait for a reply, there are no space for human error and more importantly the company can use their human resources in other activities while the system takes care of the Customer care unit at least partially. Further, this system will be help to people who needs the immediate customer care assistance and will be able to get help by their own without involved human agent in another party for their assistancePublication Embargo Student and Lecturer Performance Enhancement System using Artificial Intelligence(IEEE, 2020-12-03) Seneviratne, I. K; Perera, B. A. S. D; Fernando, R. S. D; Siriwardana, L. K. B; Rajapaksha, S, KThe proposed research work develops a system to enhance the performance of university students and lecturers by providing an excellent statistical insight. Already existing research works have attempted to solve independent classroom challenges that are related to measuring the student attention and marking student attendance but the existing research works have not combined theimportant aspects into one system. Hence, the proposed research wor has been carried out on various main aspects such as attendance register, monitoring student behavior as well as lecturer performance and lecture summarization. The system will incorporate tools and technologies in the different domains of artificial intelligence, machine learning, and natural language processing. After implementing and testing the proposed method it has been concluded that the student activity recognition process has been performed much better than the other emotion and gaze components by providing 94.5% results. The proposed system can determine the lecturer's physical activities and the quality of the lecture content with a reasonable accuracy. The summarized lecture has showed 70% similarity to actual lecture content and student attendance by using Face Recognition was marked with 83% accuracy. This research concludes that the automation of major classroom activities will impact the students and lecturers positively. Also, this system yields valuable results and increases the productivity of higher education institutions in the future.Publication Embargo SalFix: Solutions for Small Businesses Using Artificial Intelligence and Machine Learning(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Perera, T.; Kuganandamurthy, L.; Ameen, T.; Dassanayake, T.; Ganegoda, D.Every large organization was a small business before. There are many businesses starting every day. Most of them are small businesses. Managing a business is always a challenge. The owners face lots of challenges when they engage with a business. Small business owners do not have enough knowledge about advertising or promoting a product. New owners do not know the trendiest product at present, and they need to know to sell which product to be profitable. L ack o f communication with the customers will impact the customer base. These are the main problems that owners face. By introducing SalFix, these challenges can be conquered. SalFix is a web application that is suitable for current owners and new owners. SalFix uses Artificial I ntelligence t o g enerate a utomated a d i mages, predict what will happen to the business next year, predict which product is the trendiest. To improve customer communication, SalFix is embedded with a chatbot plugin that can be integrated into the small business’s website. SalFix can perform a SWOT analysis as well. Owners can use SalFix to fix t heir s ales and boost their income. SalFix is a yearly subscription service and will provide more accurate results.Publication Embargo Intelligent platform for visually impaired children for learning indoor and outdoor objects(IEEE, 2019-10-17) Jayawardena, C; Balasuriya, B. K; Lokuhettiarachchi, N. P; Ranasinghe, A. R. M. D. NUsing Artificial Intelligence and Computer Vision to assist Visually Impaired personal has been a topic discussed in recent years. Many researchers are focusing on combining several technologies to assist said individuals to perform day to day tasks. Although there are already many technologies being used as platforms to help these individuals, focus put on children who are aged in between 6 - 14 years is considerably less. Therefore; in this research we are focusing on how to use latest advancements of Region Based Convolutional Networks (R-CNN), Recurrent Neural Networks (RNN) and Speech models to provide an interactive learning experience to visually impaired children.