Project
12 TopicsRegarding Existing Microsoft Applications for End-to-End Operational Management
I would like to inquire whether Microsoft offers any pre-built, production-ready applications—preferably within the Dynamics 365 ecosystem—that are currently in use by customers and proven to be stable, which support the following functionalities: Work Order Management Operational Management Production Planning and Control Resource Management Asset Management Quality Management Inventory Management Barcode Scanning for real-time job tracking (start/finish) Profitability and Financial Reporting Hours Variation Analysis( Planned Vs Actual) Cost Variation Analysis( Planned Vs Actual) We are seeking a solution that integrates these capabilities into a unified platform, ideally with real-time data capture and reporting features. If such a solution exists, we would appreciate details regarding its availability, deployment options, licensing, and customer success stories. Looking forward to your guidancePortfolio Worthy Challenge: Build an AI-Enabled Speech Translator App
The greatest entrepreneurs are yet to start a business. The best product is the one that solves valid problems. This challenge will help you use your skill to solve a language barrier problem and unleash the entrepreneurship spirit in you.1.9KViews1like0CommentsMaster the Power Platform: Join the Ultimate Power Apps Challenge by Contoso Estate!
Discover the transformative Contoso Estate Power Apps Challenge and elevate your Power Platform skills. Unlock your potential with real-world scenarios, create a portfolio-worthy project, and stand a chance to be featured in the prestigious Power Apps Gallery. Join the challenge to streamline Estate Management Operations, overcome security hurdles, and optimize resources. Embark on a journey of learning and growth as you develop intuitive Power Apps Screens, store securely generated passcodes, and revolutionize the way estate access is granted. Seize this opportunity to shine with the power of Power Apps and document your brilliant solution for all to see4.5KViews5likes3CommentsSeamless assessment management with Azure LTI Assessment App v2
Most modern Learning Management systems (LMS), such as Moodle, Blackboard, and Canvas, support extensions using LTI protocol - education technology, which represents a method for a learning system to connect with external applications.1.4KViews0likes0CommentsUsing a Python Flask application with an Azure ML generated API endpoint
Using Azure and cloud tools working together helped me build something very resilient in a very quick span of time. The project helped me get a good understanding of HL7 data used in the medical industry. It was very enlightening writing python scripts to extract data from the documents. The data is stored in documents and is non-relational.
8.9KViews0likes0CommentsUsing the FarmBeats Student Kit to learn more about IoT, Digital Agriculture and Precision Farming
FarmBeats is a venture of Microsoft Research that was launched in 2015 as a prototype for an Internet of Things (IoT) platform for agriculture. Stemming from the concept of Digital Agriculture, it uses technologies such as low-cost sensors, drones, vision, white space, cloud computing and Machine Learning algorithms to combat very little or no-power in farms. Consequently, the FarmBeats platform has not only allowed for real-time seamless data collection from sensors, cameras and drones but also for storage and complex processing within Microsoft’s cloud computing platform, known as Microsoft Azure.4.3KViews0likes0CommentsA Statistical Solution to Synthetic Data Generation for Patient Files
The project I created for the FHIR hackathon is a mathematically driven library which generates a DataFrame of patient files given input data, which preserves statistical properties of the original data. The type of statistics employed is an important demonstrator of a method of generating synthetic data given a small initial dataset to base it on, and is a technique that will generally surpass widely used (but data-intensive) deep learning techniques on these types of smaller datasets.2.2KViews0likes0Comments
