., Subhashree and Devi, G. and Sindhuja, S. and Pravin, Tejas and Vishnupriyan, R. and Raj, R. Nirmal (2025) Effortless Event Discovery with AI. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1716. pp. 1441-1445. ISSN 2456-2165
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Abstract
The challenge of discovering and planning relevant events hinders attendees and hinders organizers from maximizing their productivity and engagement. This platform addresses the problem by providing tailored event recommendations for goals and preferences of the individual Making use of cutting-edge analytics and user behavior insights, it delivers detailed, data-driven insights to enhance decision-making. Additionally, immersive visual representations are incorporated into the platform, creating a seamless and interesting user experience for event planning and discovery. This user is given the ability to connect with the best events through the holistic solution, fostering meaningful exchanges and maximizing value for all parties involved. Attendees and organizers of relevant events frequently face difficulties in locating, connecting with, and planning with participants in this day and age of numerous events and opportunities for networking. These difficulties result in missed opportunities for growth, collaboration, and engagement. This platform aims to resolve these challenges by employing advanced algorithms for personalized recommendations that align with preferences, professional objectives, and interests Through the integration of in-depth understanding of the event, including demographics of attendees, key highlights, and the schedule the platform equips users with critical information to make informed decisions. Additionally, immersive visualizations and intuitive navigation enhance the event discovery process, making it interactive and enjoyable. By bridging the gap between event opportunities and user needs, this platform fosters meaningful connections, efficient planning and enhanced experiences for both organizers and attendees.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 02 May 2025 09:28 |
Last Modified: | 02 May 2025 09:28 |
URI: | https://eprint.ijisrt.org/id/eprint/662 |