This paper is published in Volume-4, Issue-3, 2018
Area
Artificial Intelligence
Author
Varisha Ashraf, Ankit Jain, V B Sree Kumar, Varun Patwari, Dr. Rajesh S L, Chandrakanta Saini
Org/Univ
School of Engineering and Technology Jain University (SET JU), Bengaluru, Karnataka, India
Pub. Date
25 May, 2018
Paper ID
V4I3-1575
Publisher
Keywords
Standford library, Chatbot, IBM Watson, Natural language processing, Artificial intelligence, Hidden Markov Model, Android.

Citationsacebook

IEEE
Varisha Ashraf, Ankit Jain, V B Sree Kumar, Varun Patwari, Dr. Rajesh S L, Chandrakanta Saini. Fynbot- Artificial intelligence system for personal expense management, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Varisha Ashraf, Ankit Jain, V B Sree Kumar, Varun Patwari, Dr. Rajesh S L, Chandrakanta Saini (2018). Fynbot- Artificial intelligence system for personal expense management. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Varisha Ashraf, Ankit Jain, V B Sree Kumar, Varun Patwari, Dr. Rajesh S L, Chandrakanta Saini. "Fynbot- Artificial intelligence system for personal expense management." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

A financial Chatbot is one way for banks, financial service vendors, and other financial organizations to connect with customers on a more personal level. It is meant to simulate a conversation with another human. The user can type a question into a message box, and the Chatbot comes up with the answer instantly. A chat-bot is a conversational agent that can interact with human’s turn by turn using natural language. In the world of personal finance, applications are being used by users to answer questions about bank balances, recent transactions, and spending trends which are controlled by operations that as simple as text input and click events. The main objective of this project is to build a Chatbot that enables users to micromanage their expenses in a fast and better way. With the combination of NLP techniques, machine learning techniques and certainly advanced algorithms based on AI we can solve the problem of building a Chatbot to manage personal expenses of an individual. The platform will generate reports and analyze user transaction data in order to manage their expenses and regulate the usage according to budget constraints.