Efficient Chatbot Designing (for Checking Symptoms and providing medicine)
Author(s):
Ansari Khaleequr Ateequr Rehman, Dingal Mohit Amol, Ansari Mohd Hassan Mohd Yunus, Ansari Mohammad Amir Sirajuddin, Assist. Prof. Ahlam Ansari
Keywords:
Chatbot, Natural Language Processing (NLP), Neural Network, Symptoms, Medicines.
Abstract
In recent years, conversational chatbots have become very popular. Chatbot is a computer programmes which simulates human like conversations. It is relatively new and the rise of AI is introducing new developments. Communicating with customers through live chat interfaces has increased day by day to provide real-time customer service. Today manual services are rapidly replaced by chatbots. The early development of AI based chatbots was difficult but now it has become easier because of availability many libraries and tools. The implementation of chatbots have increased but fails to satisfy the user’s requests. The frequent questions asked by chatbot makes the user less inclined to use it. AI chatbots imitates human responses, but still far from imitating human emotions. Many users want to connect with chatbot like they are humans but that is not yet possible with AI chatbots. Chatbots have been used in many fields like education, healthcare, e-commerce etc. They are used for specialized tasks like hiring cab, checking weather, purchasing orders. Using chatbots in mobile apps enables the creation of more streamlined user interfaces. It allows users to get support from a single interface. In this survey we have discussed and addressed different techniques used for building a chatbot using state of the art technologies. This will help us in building an efficient chatbot design.
Article Details
Unique Paper ID: 153667

Publication Volume & Issue: Volume 8, Issue 8

Page(s): 216 - 220
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Latest Publication

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers