Authors :
Subhashree; G. Devi; S. Sindhuja; Tejas Pravin; R. Vishnupriyan; R. Nirmal Raj
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/4cs7dcvp
Scribd :
https://tinyurl.com/ftp47cy5
DOI :
https://doi.org/10.38124/ijisrt/25apr1716
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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.
Keywords :
Opportunities, Relevant, Hinders, Platform, Event, Planning, Events, Attendees, Organizers, user.
References :
- A. Lakshmanarao, M. Raja Babu, T. Srinivasa Ravi Kiran (2021). AI-Driven Event Recommendation and Classification Using Deep Learning. International Conference on Artificial Intelligence and Machine Vision (AIMV)
- Amine Mezenner, Hassiba Nemmour, Youcef Chibani, Adel Hafiane (2023). Local Directional Patterns for Event Discovery and Recommendation. International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS)
- Arshleen Kaur, Raman Chadha (2023). Classification Techniques for Event Detection and Recommendation: A Systematic Review. International Conference on Artificial Intelligence and Smart Communication (AISC)
- M. Lavanya, Mr. M. Sudharshan, Mr. S. Sabeek, Mr. S. Vaseekaran, Mr. J. Vignesh Kumar (2023). AI-Powered Event Discovery Using Machine Learning. Journal of Technology (JOT-4262)
- Deepa, Rashmi N, Chinmai Shetty (2021). A Machine Learning Technique for Personalized Event Recommendations. 6th International Conference on Inventive Computation Technologies (ICICT)
- D. Yaswanth, S. Sai Manoj, M. Srikanth Yadav, E. Deepak Chowdary (2024). AI- Driven Event Discovery Using Transfer Learning Approach. IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
- Haiguang Wang, Guanlin Li, Zhanhong Ma, Xiaolong Li (2012). Application of Neural Networks to Event Recommendation Systems. International Conference on Systems and Informatics (ICSAI2012)
- Joju Jose Joseph, Justin V George, Kevin Mathew Manoj, Mirelle Mary Reji, Juby Mathew (2023). Fusing Deep CNN and Local Binary Pattern for Accurate Event Recommendations. IEEE International Conference on Engineering Education: Innovative Practices and Future Trends (AICERA/ICIS)
- Kelothu Shivaprasad, Ankita Wadhawan (2023). Deep Learning-Based Event Recommendation System. 7th International Conference on Intelligent Computing and Control Systems (ICICC)
- Kumud, Deepa Gupta, Sujeet Kumar, Methily Johri, Aditri Ashish (2023). AI-Powered Event Identification and Recommendation Using Machine Learning Algorithms. International Conference on System Modeling & Advancement in Research Trends (SMART)
- Meroua Belmir, Wafa Difallah, Abdelkader Ghazli (2023). AI-Based Event Discovery and Classification Using Deep Learning. International Conference on Decision Aid Sciences and Applications (DASA)
- M. Sowmya Vani, S. Girinath, V. Hemasree, Lomada Hars Havardhan, Poli Sandhya (2023). AI-Powered Event Tracking and Forecasting Using Machine Learning. 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
- Pallavi Pandey, Kalpesh Patyane, Manish Padekar, Rohan Mohite, Panjab Mane, Anil Avhad (2023). AI-Based Event Discovery Using Deep Learning Model. International Conference on Advanced Computing Technologies and Applications (ICACTA)
- Pedapudi Nagababu, Shaik Nageena, Veeranki Dharani, Darsi Naveen (2024). AI-Driven Event Recommendation and Personalization. 5th International Conference for Emerging Technology (INCET)
- P. Kanaga Priya, T. Vaishnavi, T. Pavithra, R. Sivaranjani, A. Reethika, G. Ramesh Kalyan (2023). Optimized Event Recommendation Using CNN and Dynamic Scheduling Engine. International Conference on Electronics and Sustainable Communication Systems (ICESC)
- P. Karthikeya, K. R. Arvind, G. Ajith Kumar, Ms. Saranya V (2023). AI-Powered Event Prediction Using EfficientNet. International Conference on Circuit Power and Computing Technologies (ICCPCT)
- R. Aishwarya, P. A. Froila Stephanie, R. Yogitha, Chegoni Dhanusha Srinivas (2023). AI- Based Event Discovery and Tracking. International Conference on Advanced Computing and Communication Systems (ICACCS)
- R. Dhivya, N. Shanmugapriya (2022). Multi-Class Event Image Prediction Using Deep Learning Algorithm. Knowledge Engineering and Communication Systems (ICKECS)
- Shoibam Amritraj, Nitish Hans, C. Pretty Diana Cyril (2023). An Automated and Fine- Tuned AI System for Event Recommendation. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
- T. Sangeetha, R. Rajarajan, S. Rithick Krishna, N. Sakthi Siddharth (2024). A Novel Smart Approach to AI-Powered Event Discovery. International Conference on Inventive Computation Technologies (ICICT)
- Vela Chelamala Ganesh Reddy, V. M. Arul Xavier, S. S. Shyni (2024). AI-Based Event Recommendation and Personalized Scheduling. 10th International Conference on Advanced Computing and Communication Systems (ICACCS)
- Vijaya Kumar Reddy Kokatam, Arockia Selvakumar Arockia Doss (2022). AI- Powered Event Discovery and Personalization. International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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- V. UmaRani, S. Thirisaa (2024). Analysis of Pre-Trained CNN Models for Event Prediction and Personalization. International Conference on Emerging Smart Computing and Informatics (ESCI)
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.
Keywords :
Opportunities, Relevant, Hinders, Platform, Event, Planning, Events, Attendees, Organizers, user.