Deep Learning-Based Human Time Allocation System
Karaneswar, M and Muthukumaran, S (2026) Deep Learning-Based Human Time Allocation System. Deep Learning-Based Human Time Allocation System, 11 (5): IJNRDK0010. pp. 271-281. ISSN 2456-4184
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Abstract
Currently, time management is more difficult than ever
before Everything appears as if it were just one large mass where
everyone is attempting to juggle far too many duties all at once
(multiple Sticking to your normal schedule can be quite difficult.
The traditional methods of using a planner (such as paper
calendar/planner or a simple list) seem to no longer suit today's
fast pace. Those methods haven't been updated since the way of
life changed from paper to digital. This new method in this
research paper is "the Deep Learning Human Time Allocation
System." This new type of system provides people with a much
more effective way of managing their time. It takes your last
calendar/schedule and uses that information to estimate how
long your next activities will take to complete Thanks to
advanced models like LSTM and transformers, it estimates
activity durations and builds a flexible, personalized plan. As an
added bonus, it has the ability to use decision-making techniques
(e.g., Markov Decision Process) to schedule your tasks for
maximal productivity and to prevent burnout.
| Item Type: | Article |
|---|---|
| Subjects: | Computer Applications > Artificial Intelligence |
| Domains: | Computer Applications |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 18 May 2026 11:59 |
| Last Modified: | 18 May 2026 11:59 |
| URI: | https://ir.vistas.ac.in/id/eprint/20133 |
