Presentation cloud telephony & ivrs based daily monitoring system from sudhanshu tripathi
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The document describes a cloud telephony and IVR-based daily monitoring system implemented in Uttar Pradesh, India to track the number of students receiving meals through the Mid Day Meal scheme across 1.52 lakh schools. Teachers provide data on the number of students fed daily by responding to automated IVR calls on their mobile phones. This provides real-time data and addresses issues like delays and data manipulation in the previous monthly reporting system. The new system has led to timely intervention, increased transparency, and a reduction in the number of schools not serving meals.
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I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
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👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
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Presentation cloud telephony & ivrs based daily monitoring system from sudhanshu tripathi
- 13. Success & Impact: Quantitative No. of Schools data received from No. of schools meal was not served Percentage Jul 1, 2010 to Sep 30, 2010 97,359 27404 28% Jan 1, 2011 to Mar 31, 2011 1,06,321 14123 13% Apr 1, 2011 to May 20, 2011 1,26,615 14904 12% Aug 1, 2011 to Sep 23, 2011 1,31,469 6764 5%
- 15. Status before the implementation of the initiative Status after the implementation of the initiative Key result areas Information about schools not serving MDM No authentic information available Exact information available daily Information about schools not serving MDM Compiled information available month wise School wise information available on daily basis Immediacy of intervention Not possible Possible, based on objective criteria Key performance indicators Periodicity of information Monthly/quarterly Daily Level from which information made available District School i.e. the actual level of implementation System of alerts Not available Alerts available to higher ups for remedial action Quality of data Compiled monthly Real time data Transparency Information often based on percentage basis Transparent, actual information available Socio-economic impact parameters Knowledge of status of implementation to public Not available Possible to be made available in public domain Social Audit Not possible Possible Level of community ownership Low High Beneficiaries' feedback Available, if at all, through hierarchical system Directly available to decision makers