ICT IN DUARE SARKAR

Key Technical aspects of DS Portal with innovative approaches include:-

  • Web-enabled mechanism implemented at https://ds.wb.gov.in
  • Configurable, Customizable using front end interface paving easy on-boarding of new schemes/benefits
  • Based on Responsive Design using CSS3 & HTML5 for optimized Look & Feel of DS portal as per device environment & screen size
  • Solution also constitutes of Java Script, CSS, Open source reporting library iTextSharp, XML and Service Oriented Architecture (SOA)
  • GPS based mapping of DS Camps being held across the State for ease in monitoring
  • BI for generation of intelligent MIS
  • AI driven trend and future prediction & prescription for better management of DS camps e.g. Queue management during peak hours, Ensuring availability of specific departmental officials for handling high demand of certain beneficiary schemes in certain localities etc.
  • Mobile Apps to facilitate (a) Geo-Tagging of DS Camps, (b) Real-time Status Reports
  • Integration with Departmental Portals through Web API
  • Online dynamic dashboard
  • Hourly auto SMS alerts / notifications to appropriate authorities for needful updates
  • Robust Monitoring and Control system
  • Cost-effective solution: Re-use of available ICT Infrastructure and systems
  • Ensuring multiple channels of communication including Online, Push SMS, Email, Mobile Apps and Helpdesk
  • User friendly design, adequate testing to ensure flawless smooth execution of portal and thereby building higher degree of confidence of its users at all hierarchical levels

Security aspects of DS Portal: -

  • VAPT Test of Servers prior to deployment
  • Implemented over HTTPS using SHA-256 with RSA Encryption TLS 1.2 SSL
  • OTP/CAPTCHA based 2 Step Authentication to prevent DOS/robot
  • Application S/w developed as per OWASP guidelines; uses standard Web technologies and techniques such as HTTP redirects, cookies, JavaScript and strong symmetric key encryption (MD5 Hashing) both in code level & database level, role-based access to deliver the service, encoded HTML and URL outputs

AI In DS Portal: -

From the very outset, a strategic approach in conducting of the DS camps has been adopted especially to address the challenge of managing queues of thousands of people at the registration counters, as well as the scheme counters during the subsequent Camps scheduled across the State. This necessitated predictive analytics for queues at DS camps for ensuring beneficiary satisfaction and smooth functioning of the service counters in the camps through optimizing services and reducing waiting time.

In view of the above, AI driven trend and future prediction for better management of DS camps eg. queue management during peak hours, ensuring availability of specific departments for handling high demand of certain schemes in particular localities etc. have been implemented.

In the DS portal, we have used machine learning, an application of Artificial Intelligence (AI) that enables the DS Portal to learn and advance, based on initially held camp data without being specifically programmed. Machine Programme Predictive Algorithms using open source R language is incorporated in DS Portal to predict future queues at registration counters and Earmarked Social Benefit Scheme Counters using the historical data obtained from initial camp data.

This has helped deploy requisite officials in counters for delivering efficient services and minimise discomfort to citizens at the camps. The analysis has also led to the identification of peak hours or camps where congestion is highest.

From the experience of DS camps held during initial phase, a strategic approach was felt utmost necessary to address the burning challenges of managing queues of thousand peoples at the Registration Counter and Earmarked Social Benefit Scheme Counters during the forthcoming DS Camps scheduled across the state. This in turn necessitated the predictive analytics for queues at DS Camps for intending beneficiary satisfaction and smooth functioning of the service counters in the camps through optimizing the service and reduce the waiting time.

In view of the above, AI driven trend and future prediction & prescription for better management of DS camps e.g. queue management during peak hours, ensuring availability of specific departmental officials for handling high demand of certain beneficiary schemes in certain localities etc. are implemented.

In DS portal, we have used Machine learning, an application of Artificial Intelligence (AI) that enables the DS Portal to learn and advance based on initially held camp data without being clearly programmed. Machine Learning Predictive Algorithms using open source R language is incorporated in DS Portal to predict future queues in Registration Counter & Earmarked Social Benefit Scheme Counters using the historical data obtained from initial camp data.

This has helped to deploy requisite officials in counters for delivering efficient services and minimize the discomfort to the citizens in the camps. The analysis has also lead to the identification of the peak hours or camps where congestion is maximum.

We have used machine learning technique to predict the Queues by using R machine learning technique and then using Tableau for generating visualizations. We have created R functions which are used in Tableau by creating new calculated fields that dynamically invoke the R engine and pass values to R. The results are then returned back to Tableau for use by the Tableau visualization engine.

দুয়ারে সরকার/পাড়ায় সমাধান
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DUARE SARKAR

Government of West Bengal