Asynchronous Learning of Personal Assistant from User Histories Stored in Cloud
Sumathi. V. P1, Vidyasagr V2, Vanitha.V3
1Sumathi.V. P, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India.
2Vidyasagr V, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India.
3Vanitha.V, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 432-437 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10920789S219/19©BEIESP DOI: 10.35940/ijitee.I1092.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A personal assistant always provides us with a daily schedule, remembers all the events and intimates us at right time. Most of the times, our routine jobs are forgotten and user may get to know new information about our most obsessed things later only. Not everyone could afford a personal assistant to help with the daily activities or help the executive in remembering him/her about the activities. Due to heavy industrious works, a human mind naturally tend lose its integrity to forget most important tasks which may lead in missing flight timings or losing a relationship or even millions of amount. People most of the time tend to know the newer updates or information about the things they have been searching for only when they go looking for it again or when they see in others post. The proposed personal assistant system called Naturally Artificial Sanguine and Tangled Youngster (N.A.S.T.Y) does not violate any of the privacy issues and helps the user to remember their search topics and mobile applications usage statistics. The system has asynchronous method run continuously in the cloud server and finds the user’s recent favourites and activities and stores that in separate PostgreSQL database table. To find the activities and favourites of the user, an android application is developed using Android Studio which gathers the usage statistics of the user’s phone. The user wants to search any content over the web the proposed system helps to do it efficiently. The summarized text is shown as output in user mobile phone.
Keywords: Named Entity Recognition, Personal Assistant, Machine Learning, Searching Assistant, Pattern Recognition
Scope of the Article: Personal and Wearable Networks