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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | "Smart Management of Kumbh Mela 2025: Intangible Cultural Industries Leveraging IoT, AI, and Big Data for Efficient Crowd Control and Resource Optimization in Prayagraj as a Smart City" |
| Authors Name: | Prof.K R Jalaja , Ms.Deeksha S |
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IJRTI_201456
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| Published Paper Id: | IJRTI2503129 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Abstract: The Kumbh Mela, one of the largest religious gatherings in the world, presents significant challenges in crowd management, resource allocation, public safety, and infrastructure planning. With millions of pilgrims congregating in a limited geographical area, traditional management strategies often struggle to ensure smooth operations, safety, and sustainability. The integration of smart technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics can revolutionize the management of Kumbh Mela by enhancing real-time decision-making, optimizing resource distribution, and improving security measures. This study aims to analyze the current role of digital infrastructure in managing Kumbh Mela, evaluate AI and IoT-driven predictive models for crowd and traffic control, and assess policymakers’ perspectives on smart governance for large-scale events. A concurrent triangulation mixed-method approach is employed, combining quantitative and qualitative data collection and analysis. Data is gathered from event organizers, law enforcement agencies, technology providers, pilgrims, and local government officials. Using the Cochran formula for an unknown population at a 10% margin of error, 100 event attendees were surveyed, while 10 officials and technology experts were selected for qualitative interviews. Focusing on the 2025 Kumbh Mela in Prayagraj, India, this study examines key aspects such as crowd monitoring, emergency response systems, smart sanitation, AI-based predictive analytics for security, and digital traffic management. The research aligns with Sustainable Development Goals (SDGs) 3, 6, 9, and 11, emphasizing health, sanitation, infrastructure, and sustainable urban planning. Quantitative data was analyzed using IBM SPSS Ver. 28 and IBM SPSS AMOS Ver. 22, while NVivo was used for qualitative research.Findings indicate that AI-powered surveillance, IoT-based crowd density mapping, smart waste management systems, and real-time mobility tracking significantly enhance event safety and efficiency. Predictive analytics, powered by AI and Big Data, assist in forecasting peak crowd influx, optimizing medical and emergency services, and streamlining logistics for food, water, and waste disposal. By implementing smart technologies, Kumbh Mela organizers can ensure a more organized, safe, and sustainable event while minimizing environmental and logistical challenges. |
| Keywords: | Keywords:Smart Event Management, Kumbh Mela, IoT, AI, Big Data, Crowd Control, Sustainable Infrastructure |
| Cite Article: | ""Smart Management of Kumbh Mela 2025: Intangible Cultural Industries Leveraging IoT, AI, and Big Data for Efficient Crowd Control and Resource Optimization in Prayagraj as a Smart City"", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b232-b244, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503129.pdf |
| Downloads: | 000625 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503129
Registration ID:201456
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b232-b244 Country: BENGALURU URBAN, KARNATAKA, India Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503129 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503129 |
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ISSN: 2456-3315
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