Optimized Academic Schedule Creator for Android Devices
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
This project provides students, faculty, and administrators a comprehensive platform to manage academic schedules seamlessly. Students and faculty can register and log in, identifying themselves as students or faculty members. Upon login, they access personalized dashboards displaying their respective timetables. The administrator, logging into a centralized system, gains an overview of registered students and faculty. The administrator holds the authority to generate and update student and faculty timetables. This functionality ensures efficient schedule management, fostering a streamlined academic environment. The system enhances communication and organization, benefiting educational institutions by facilitating accessible timetable information for students and faculty, while empowering administrators with centralized control over scheduling processes.
Authors and Affiliations
Y Nagendra Kumar, T. Neelima, Md. Afreen Sulthana, N. Sarika, Md. Firdose Khan
Keywords
Related Articles
- EP ID EP747885
- DOI https://doi.org/10.46501/IJMTST1009010
- Views 40
- Downloads 0
Fiber Reinforced Concrete with Nano Silica and Micro Silica
The Earth is getting rapidly heated up mostly due to the carbon dioxide emissions. It is believed that one ton of cement produces one ton of carbon dioxide. We can reduce cement content by partial replacement of cement w...
Improving AGC Performance in Two-Area Power Systems by Harnessing ANFIS Controller and Renewable Energy Source Integration
In modern power systems, maintaining stability and optimal performance amidst increasing demand and renewable energy integration presents significant challenges. This study explores the enhancement of Automatic Generatio...
A study on Modular Construction for Industrial Buildings
Modular Construction is a type of pre-engineered, prefabricated construction that primarily uses fabrication of lightweight steel sections and plates to create modular units in a workshop, which are then transported to t...
Advances in NLP: Exploring Transformative Techniques and Real-World Applications
Natural Language Processing (NLP) has undergone significant advancements, leading to innovative methods and applications across various domains. Cutting-edge techniques like Transformers, Generative Adversarial Networks...
Prediction of Diabetes in Early Stage through Machine Learning
The goal of this project is to create a system that uses machine learning to forecast the early signs of diabetes. Diabetes is a widespread, long-term condition with serious health consequences, and spotting it early is...