
Why are many IIT, IIM students heading to Puri for this year's Jagannath Rath Yatra?
In an unprecedented blend of ancient tradition and modern management, India's brightest young minds are heading to the spiritual heart of Odisha for public service. This year, the
Jagannath Rath Yatra 2025
will welcome a new kind of participant: students from top institutions like the IITs, IIMs, and leading policy schools, who will join as interns embedded in the machinery behind one of the world's largest religious gatherings.
Spearheaded by the Puri District Administration, this first-of-its-kind Public Systems and Infrastructure Internship invites students to spend 10–15 days on the ground in Puri during the Rath Yatra, as per reports in India Today.
Their mission?
As per the reports, the mission of the interns will be to study, support, and improve real-time systems that keep the Rath Yatra running, from sanitation and crowd control to emergency response and behavioural analytics. Unlike conventional internships, this initiative places interns at the heart of a high-stakes, high-density civic operation, offering them not only an unparalleled learning experience but a chance to actively shape public systems.
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They'll be working with government departments, collaborating with field officers, and contributing directly to the event's planning and execution, bridging academic insight with grassroots realities.
The main aim of the internship is Seva through system building, where service is not restricted to volunteering, but also about being a part of the greater good.
Shree Jagannatha Dham App
Meanwhile, in preparation for the upcoming Rath Yatra, Puri Collector and District Magistrate Siddharth Shankar Swain (IAS) announced the launch of a new mobile application aimed at enhancing the experience for devotees. Taking to X, he shared that the 'Shree Jagannatha Dham' app has been officially launched to streamline access to essential information.
— dm_puri (@dm_puri)
Key features include:
- Real-time updates on Niti (ritual) status and timings
- Estimated waiting times in queues
- Detailed arrangements for Rath Yatra and other special occasions
The app is designed to make the spiritual journey smoother and more informed for lakhs of visitors expected in Puri.
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2 days ago
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In such cases, police personnel will be asked to move along with the people already in that particular area, to make room for the incoming crowd. While the officer stressed that there had not been any stampede at the yatra held in Ahmedabad in the recent years, the advanced technology was being used as a precautionary measure, taking lessons from incidents elsewhere. 1. Real-time monitoring: AI-powered CCTV cameras will continuously analyse video streams in real time. 2. Crowd density estimation: Algorithms will calculate the number of people in a given area. This can involve pixel-based analysis (converting images to black and white and counting 'black pixels' representing people), and object detection, using machine learning models to identify and count individuals by detecting heads or torsos. 3. Thresholding: Pre-defined 'threshold values' for crowd density will be established. When the detected density crosses these thresholds, it will trigger an alert. 4. Anomaly detection: Beyond just density, these algorithms can identify unusual crowd behaviour, such as sudden surges in movement, unusual clustering patterns, fallen individuals, and aggressive movement. 5. Alerting authorities: Upon detecting a potential stampede risk, the system sends immediate alerts to security personnel or control rooms via LCD displays, GSM messages or other communication channels. 6. Predictive analytics: Advanced systems will use time-series prediction models to forecast crowd behavior and dynamics based on historical and real-time data, helping anticipate potential bottlenecks or overcrowding. 7. Reinforcement learning: Algorithms can learn from past incidents to suggest optimal crowd flow routes and alternative evacuation paths during emergencies. —– 1. Proactive prevention: The primary benefit is the ability to detect and warn of potential stampedes before they occur, allowing authorities to take preventative measures. 2. Real-time insights: Provides immediate and accurate data on crowd density and movement, far surpassing manual observation. 3. Enhanced safety: Significantly improves safety in public spaces by reducing human error and enabling swift responses to risks. 4. Optimised resource allocation: Helps in better deployment of security personnel and resources to areas with high crowd density. 5. Improved efficiency: Automates a labor-intensive task, freeing up human operators for more complex decision-making. 6. Data for future planning: The collected data can be analyzed to improve crowd management strategies for future events. —– 1. Limited accuracy: AI algorithms can face challenges with occlusion (people blocking each other), varying conditions (changes in lighting, weather, and camera angles), and bias in training data (leading to false positives). 2. Computational complexity and cost: Developing and deploying such systems can be expensive due to the need for high-resolution cameras, powerful processing units, and sophisticated algorithms. 3. Data privacy and ethical concerns: The extensive use of CCTV and AI raises concerns about individual privacy and potential misuse of data. 4. Integration with existing infrastructure: Integrating new AI-powered systems with older CCTV networks can be complex. 5. Human intervention remains crucial: While AI can alert, human responders are still essential for effective intervention and crowd dispersal. As seen during Maha Kumbh, even with AI alerts, a lack of ground personnel can limit effectiveness. 6. Defining thresholds: Determining appropriate crowd density thresholds for different environments and cultural contexts can be challenging.