Title: A frugal and innovative, intelligent messaging assistant - a futuristic approach
Authors: Aswin Tekur; Shriram K. Vasudevan; Rahul Ignatius; Himanshu Batra
Addresses: Data Science Engineering, 247.ai, Bengaluru, Prestige Tech Platina 2, Outer Ring Road, Marathahalli, Sarjapura, Bengaluru, Karnataka 560087, India ' K. Ramakrishnan College of Technology, Kariyamanikam Road, Samayapuram, Trichy – 621112, India ' Data Science Group, 247.ai, Bengaluru, Prestige Tech Platina 2, Outer Ring Road, Marathahalli, Sarjapura, Bengaluru, Karnataka 560087, India ' Data Science Group, 247.ai, Bengaluru, Prestige Tech Platina 2, Outer Ring Road, Marathahalli, Sarjapura, Bengaluru, Karnataka 560087, India
Abstract: For systems receiving large amount of information and requiring prompt decision making, it is the need of the hour to facilitate quick sifting of the data (regardless of scale) and follow a custom-specified course of action to provide real time decision making capability. Our system allows users to handle large amount of data streaming in and adopt an appropriate course of action with a prediction model. Our system will assess incoming text (and audio input which can be converted to text by a speech to text conversion system) and evaluate the criticality (i.e., urgency) of the message based on user's historical data and preset configurations. Our system will evaluate the received 'request' and generate a score based on multiple parameters (such as geo, user history, time). Corresponding action will be initiated based on the score generated, and the action path preset in the configuration file.
Keywords: message filtering; real time decision system; scalable message ranking system; scalable text classification system.
DOI: 10.1504/IJAIP.2024.139954
International Journal of Advanced Intelligence Paradigms, 2024 Vol.28 No.1/2, pp.143 - 154
Received: 14 Jul 2018
Accepted: 21 Aug 2018
Published online: 15 Jul 2024 *