Online Communication with Natural Language Sathya, D.; Jagadeesan, D.; Betty, P.
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT),
2019-Nov.
Conference Proceeding
Nowadays all the University and Organization have a dedicated website of their own. The most challenging part in maintaining the website is to effectively handle the user doubts and queries. Often, ...users wish to interact with the authoritative person. Answering every customer is tiresome and leads to loss of time and human resource. It is impossible to handle lot of queries simultaneously. In order to make the work of the organization simple, Chatbots can be used. A Chatbot simulates the conversation with user in mobile applications, web applications and messaging applications. The proposed system will be able to read a piece of text, that is being asked as a question by the user and it will provide the appropriate response by text categorization and keyword matching. The screenshots illustrate the successful implementation of chatbot application.
Medical Insurance Virtual Assistant: Vaidya Mehta, Deepak; Singh, Sajjan
2022 5th International Conference on Contemporary Computing and Informatics (IC3I),
2022-Dec.-14
Conference Proceeding
You must eat healthily if you want to live a long and happy life. Many times, individuals are unaware of all the possible diagnoses, therapies, or signs of a certain illness. For youngsters, it is ...quite difficult to acquire a doctor's visit for any medical conditions, manage phone calls, for users with the condition travel to the institution in real for a time-consuming test. By offering relevant advice on leading a healthy lifestyle, healthcare/medical chatbots may help with these kinds of issues. The idea is to use neural networks to build a medical chatbot that can offer information, identify diseases, and provide basic illness information as well as when and where to seek medical advice. NLP technology, which enables users to express their worries about any condition as well as their health, is the foundation of the success of medical chatbots. Without physically would be at the clinic, the user may utilize a chatbot to ask any personal questions about health care. Through a medical chat-bot, this will increase access to health records while lowering the cost of healthcare. The program development strategy calls for consumer sentiment analysis.
Recommendation System Algorithms For Music Therapy Singh, Anannmaya; Gupta, Sumita
2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence),
2023-Jan.-19
Conference Proceeding
A recommendation system is an artificial intelligence or machine learning system that uses big data to suggest or recommend products to consumers. In this paper analysis of different types of ...recommendation system such as collaborative filtering & content filtering has been done through the help of implementations of different types of algorithms. Through those implementations an optimal algorithm which best suits our purpose of making a music recommendation system will be selected. Initially we will be looking at the different approaches implemented in the research papers and study them. In the paper implementations have been done for three algorithms i.e., Popularity based recommendation system, Item based recommendation system and Content filtering-based recommendation system. After the implementation of these approaches, it was found that item-based recommendation is the best model for the project and meets all our requirements. This paper also discusses most of the known approaches and gives a deep insight to their working & methodology.
Increasing usage of gadgets is what can be seen in present days. Gadgets that tend to reduce human effort and anxiety are used the most. The excessive use of these being in contact has made the world ...lose its eyes or fall under stress. Thus, the voice assistant application is built, which takes up real voice recognition, processes the requirements according to the client, and responds well. An algorithm named seq2seq is used to accomplish the same. Since it has the feature of completing tasks without eye contact, it diminishes the requirement of continually looking at their screen. The latter task is accomplished using verbally ordering the gadgets to do the respective task. The task accomplished by the voice assistant is having a friendly chat and querying the results. Querying the results include searching through Google and summarizing the term. An additional feature added to it is a blink option as we call to alert the user for every n second as prescribed by the user.
With the recent advances of AI and its current adoption in healthcare, the associated social and ethical issues of its impact are of utmost importance. We study the current state of the art of ...chatbots and virtual assistants in the domain of medicine and pharmacology and propose the framework for a more-advanced solution which is based on a chatbot that supports dialogue flow about disease factors, connected to heterogeneous data assets and tools like publications lists, summarization components, entity extractors, sentiment identifiers, etc. The novelty of the proposed work lies to the fact that it copes with disinformation, which is a crucial success factor of virtual assistants, particularly in the health universe. Our chatbot was designed and deployed using the pandorabots platform an open source framework.
The large number of messages posted on the forum, a key element in Distance Education Courses based on Virtual Learning Environment, which does not receive adequate feedback from the tutor in ...sufficient time is a typical problem faced by students in these environments. The tutors, in turn, feel a lack of tools to monitor activities carried out by the student. This article proposes an approach for solving these problems based on the concept of perception, using the multiagent system paradigm. The system is composed by intelligent agents, which act in a Moodle discussion forum using an AIML knowledge base. Agents solve questions about matters discussed at the forum, and they use perception to recommend the implementation of activities that the student has not done. The results from simulations based on real courses already completed show that there is a decrease in the workload of tutors. Students are reminded the deadline for the tasks automatically. It was necessary to create hundreds of AIML rules to get answers to good level. The partial results indicate that the approach of combining AIML and MAS is promising to improve the feedback from tutors and motivate students to conclude their work on time.
In this fast-moving data-driven world, it is vital that we draw the accurate insights to make the right decisions at the right time. In terms of online websites, there are many web analytics tools ...that will give us performance reports. However, it is tedious and time consuming to master the tools leave alone to derive insights to understand the business impacts. In this paper, I am comparing 2 widely used analytics tools based on their ease of use. In the light of the same, I am proposing an Artificial Intelligence Machine Learning (AIML) driven chatbot, that is fueled with analytics' raw data, that will enable bot-users to get business insights by just typing in the query.
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