ASSIGNMENT ID
404624
SUBJECT AREA Computer Science
DOCUMENT TYPE Research Paper
CREATED ON 1st March 2018
COMPLETED ON 1st March 2018
PRICE
$40
18 OFFERS RECEIVED.
Expert hired: smukhuyu142

Artificial Intelligence, Natural Language Processing and Big Data in Fintech

Abstract: Personal Financial Management App (PFAA) is a mobile application which analyzes an individual’s spending and saving activities and financial profile to deliver a real-time advice based on personal needs and financial objectives. PFAA is an AI-based app which tracks an individual’s financial status and produces warnings against the financial activities which may make the client not meeting the financial objectives. PFAA uses data from the Internet to inform the client about the opportunities based on his/her needs to maximize the client’s savings. For instance, PFAA warns against spending money for an expensive applience when a similar cheaper applieance options were available at other nearby stores or warns how buying such an applience may make it difficult to pay rent in the current month. PFAA uses mixture of speech, text and touch interfaces to perform intelligent conversations with the client. PFAA users can learn about their spending patterns in real-time, such as a client can ask “How much did I spend on petrol this week?”, and execute transactions on the go, such as a client can give command “Pay rent!”. PFAA can adapt to user’s accent for intelligent conversations with the user. PFAA is based on Artificial Intelligence (AI) , Natural Language Processing (NLP) , Big Data (BD) and Deep Learning (DL).
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01 March 2018
User created a project for Computer Science
01 March 2018
18 experts responded
01 March 2018
User contacted expert smukhuyu142
01 March 2018
User hired expert smukhuyu142 who offered a price of $40 for the project and has experience doing similar projects
01 March 2018
The expert completed the project Artificial Intelligence, Natural Language Processing and Big Data in Fintech for 1 day, meeting the deadline
01 March 2018
User accepted the project right away and completed the payment
01 March 2018
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