Meet Mate: AI Powered Meeting Scheduler


Authors : Pragati Arya; Shruti Singh; Virendra Kumar Ojha; Saurabh Singh

Volume/Issue : Volume 10 - 2025, Issue 12 - December


Google Scholar : https://tinyurl.com/58s4z3n9

Scribd : https://tinyurl.com/mr2arw4t

DOI : https://doi.org/10.38124/ijisrt/25dec156

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.


Abstract : This research paper is prepared for presenting MEET MATE, an AI powered meeting scheduler to manage the meeting more efficiently, this app integrates many features i.e.; face authentication, password protection, meeting scheduler and rescheduler, jitsi link generator, sends automatic invite through WhatsApp, hand gesture-based volume control using AI and python. It is different from other such apps as this app provides meeting scheduling and rescheduling as well as deleting through GUI. This app generates a dynamic meeting room which is Jitsi where participants get automatic invite through whatsapp. this also controls volume using hand gesture recognition making the system more effortless using Mediapipe. facial recognition makes the app more secure and authenticated and this feature is created using OpenCV face detection. all the meeting details are saved in JSON storage. Lastly, the most vivid part is that it used Tkinter for creating UI. It also gives voice feedbacks using pyttsx3 after every action successful execution

Keywords : MeetMate AI, Face Authentication, Gesture Recognition, WhatsApp Automation, Voice Assistance, Tkinter, MediaPipe, OpenCV.

References :

  1. G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools, 2000.
  2. S. Z. Li and A. K. Jain, Handbook of Face Recognition, 2nd ed. New York, NY, USA: Springer, 2011.
  3. P. Viola and M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), vol.1, pp. 511–518, 2001.
  4. Turk and A. Pentland, “Eigenfaces for Recognition,” Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 71–86, 1991.
  5. Google AI, “MediaPipe: Real-Time Hand and Face Tracking,” 2023.
  6. MediaPipe Team, “MediaPipe Hands Solution,” 2024.
  7. Microsoft Research, “Gesture-Based Human-Computer Interaction,” IEEE Transactions on Human-Machine Systems, vol. 50, no. 3, pp. 235–244, 2023.
  8. Pyttsx3 Documentation, “Offline Text-to-Speech Engine for Python,” 2024.
  9. Google Cloud, “Cloud Text-to-Speech API Documentation,” 2024.
  10. WhatsApp Inc., “WhatsApp Business API Documentation,” 2024.
  11. A. S. Mittal and R. Kumar, “Smart Meeting Scheduler using WhatsApp API Automation,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 2, pp. 92–99, 2023.
  12. Python Software Foundation, “Tkinter GUI Documentation,” 2024.
  13. W. Stallings, Cryptography and Network Security: Principles and Practice, 7th ed. Pearson, 2017.
  14. B. R. Chandavarkar and V. N. Bharadi, “AI-powered meeting automation using natural language processing,” IEEE Access, vol. 10, pp. 55102–55112, Apr. 2022.
  15. IEEE Standards Association, “Standards for Artificial Intelligence-Based Human-Computer Interaction Systems,” 2023.
  16. JSON.org, “JSON Data Interchange Standard,” 2024.

This research paper is prepared for presenting MEET MATE, an AI powered meeting scheduler to manage the meeting more efficiently, this app integrates many features i.e.; face authentication, password protection, meeting scheduler and rescheduler, jitsi link generator, sends automatic invite through WhatsApp, hand gesture-based volume control using AI and python. It is different from other such apps as this app provides meeting scheduling and rescheduling as well as deleting through GUI. This app generates a dynamic meeting room which is Jitsi where participants get automatic invite through whatsapp. this also controls volume using hand gesture recognition making the system more effortless using Mediapipe. facial recognition makes the app more secure and authenticated and this feature is created using OpenCV face detection. all the meeting details are saved in JSON storage. Lastly, the most vivid part is that it used Tkinter for creating UI. It also gives voice feedbacks using pyttsx3 after every action successful execution

Keywords : MeetMate AI, Face Authentication, Gesture Recognition, WhatsApp Automation, Voice Assistance, Tkinter, MediaPipe, OpenCV.

CALL FOR PAPERS


Paper Submission Last Date
31 - December - 2025

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe