Chatboats for Releiving Stress

5 Pages Posted: 15 Jul 2019 Last revised: 30 Sep 2019

See all articles by Aafiya Shaikh

Aafiya Shaikh

PCCOE, Pune(411044)-India

Dipti More

PCCOE, Pune(411044)-India

Sayli Shrivastav

PCCOE, Pune(411044)-India

Ruchika Puttoo

PCCOE, Pune(411044)-India

Dr. Swati Shinde

Pimpri Chinchwad College Of Engineering (PCCOE) - Department of Information & Technology

Date Written: May 18, 2019

Abstract

Happy soul is an android based chatbot that helps its users to stay calm and help them relieve stress by acting as a 24*7 companion. Chatbot refers to software that can generate applicable replies to any query. This paper will prove to be of great help to society as nowadays adolescents refrain themselves from showing true emotions to anyone. This project aims privacy and confidentiality of the users' emotion as the replies will be auto generated and the user will not have to reveal their cause of anxiety to anyone. Happy soul uses algorithms of machine learning and natural language processing to generate replies. An API of the processing can be made to be used by an android application. The application serves as front end to just take in the input and display the output. The backend processing uses concept of artificial neural network, artificial intelligence markup language and classification to process the input received from front end and produce a corresponding reply. Google API is used to fetch the replies for new unknown questions. These replies will then be stored in the database to facilitate replies to similar questions asked henceforth. Therefore, continuous learning can be established.

Keywords: chat bots, machine learning, mental health, stress

JEL Classification: Y60

Suggested Citation

Shaikh, Aafiya and More, Dipti and Shrivastav, Sayli and Puttoo, Ruchika and Shinde, Dr. Swati, Chatboats for Releiving Stress (May 18, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3419204 or http://dx.doi.org/10.2139/ssrn.3419204

Aafiya Shaikh

PCCOE, Pune(411044)-India

Dipti More

PCCOE, Pune(411044)-India

Sayli Shrivastav

PCCOE, Pune(411044)-India

Ruchika Puttoo (Contact Author)

PCCOE, Pune(411044)-India ( email )

Dr. Swati Shinde

Pimpri Chinchwad College Of Engineering (PCCOE) - Department of Information & Technology ( email )

India

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