A.Hani Munir et al, International Journal of Computer Science and Mobile Computing, Vol.9 Issue.2, February- 2020, pg. 104-110 © 2020, IJCSMC All Rights Reserved 104 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.199 IJCSMC, Vol. 9, Issue. 2, February 2020, pg.104 – 110 Talking Diary: A Novel Approach for Automatic Audio Note Categorization and Event Scheduling for Android Application A.Hani Munir 1 ; Abubakar Manzoor 2 ; Utba Aziz 3 ¹ , 2, 3 Department of Computer Science Riphah International University Lahore, Pakistan 1 aumme.hani@riphah.edu.pk; 2 abubakermanzoor014@gmail.com; 3 azizutba.ua@gmail.com Abstract— Smartphone usage is very common nowadays. People tried to regulate their routine tasks using different mobile applications. In this research, a novel approach for note classification and scheduling is proposed to facilitate mobile users in automatically organizing their daily routine tasks with a single audio note. The proposed model has been implemented in an android application named ―Talking Diary‖. Talking Diary is an android application comprised of three modules namely auto audio note classification, auto audio note scheduling, and working hour’s calculator. The proposed model of classifier computed similarity score by extracting N-gram weights from Concept Net to perform classification. The scheduler generates events and alarm on receiving the audio note. Working hours are calculated on the basis of using GPS location. Testing of Talking Diary android application is performed by collecting 500 sample notes from the random population of participants. Accuracy, Recall, and Precision is calculated for the correctness of classifier. Test cases were developed to ensure the performance of the scheduler and work hour calculator. Keywords— Audio Note Classification, Auto-scheduling, N-grams Technique, Concept Net, Text classification I. INTRODUCTION The trend of organizing daily tasks using mobile applications is common now because of mobile easy access. Mobile applications are easy to use. In the recent past, mobile applications are implementing artificial intelligence techniques to automate the task for the sake of user ease. This research focus is on designing an android application for automatically organizing the user’s daily routines to some extent. An android application is developed for this purpose adapting artificial intelligence techniques to automate organizing and scheduling tasks. The main motivation behind this research is the reviews and deficiencies exist in the android applications available on Google Play Store. People lookup for automatic regulating and classification applications rather than manually saving and organizing their notes. People write text notes of their pending tasks for remembering in the form of sticky notes, mobile notes, and diary notes. There is no such system exists for automatic classification of note. Moreover, they schedule their life event and add reminders in calendars manually and forget the scheduler of important meetings either schedule verbally or via an email. To cope with the aforementioned problem we get from user’s reviews, there is a need for a user-friendly, easily accessible and efficient system to automate these scheduling and classification. In this paper, a novel model approach is proposed using the semantic network Concept Net and N-gram technique to automate classification and scheduling tasks. The proposed model is implemented in Talking Diary android application for testing. Talking Diary is an android application divided into three modules to perform auto note classification, auto-scheduling and working hour calculators. The design of the Talking Diary interface is user-friendly and simple. Users can record an audio note with a single button click