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@article{186766,
        author = {Gaikwad Shraddha Arun and Kurhe Prajakta Vasant and Bombale Girisha R},
        title = {Bharat Kumbh Mela( Crowd Control & Safety)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2060-2064},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186766},
        abstract = {The annual Kumbh Mela draws millions of pilgrims to constrained geographic areas, making crowd management, emergency services, wayfinding, and lost-and-found support extremely challenging. Traditional manual coordination and physical signage often fail under scale, leading to inefficiencies, safety hazards, and suboptimal pilgrim experience. This project proposes Bharat Kumbha, an Android mobile application integrated with a backend platform, designed to assist pilgrims and authorities via features such as navigation and location services, QR-based crowd flow control, emergency medical SOS, lost-and-found, chatbot assistance, and facial/QR match modules. The system employs client-server architecture, REST APIs, image processing and facial recognition, and real-time analytics to manage pilgrim flows, detect anomalies, and respond to emergencies. A survey on crowd management systems and mass-gathering safety has been conducted. The expected impact is smoother pilgrim movement, reduced crowd risks, faster emergency response, and improved trust. Future enhancements such as multilingual UI, heatmaps, and AI alerting are also discussed. This report provides a scalable blueprint for deployment in large-scale religious events.},
        keywords = {wayfinding, pilgrim, Bharat Kumbha, crowd, geographic},
        month = {November},
        }