Portfolio 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.Master 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 seeUsing 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.
Using 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.A 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.Using Unity to Create an Engaging Eye-Tracking Puzzle Game- a UCL & Microsoft IXN Project
Nayana Dasgupta,Farhan Mahmood & Guide Limjumroonrat Computer Science student at University College London, have been working with Microsoft and UCL IXN on their Project. The aim was to produce a rich and unique eye tracking game for individuals affected by severely disabling conditions such as Amyotrophic Lateral Sclerosis (ALS), Motor Neurone Disease (MND) and Spinal Cord injuries. Individuals with these conditions often retain good control of their eyes, however there is a lack of applications and games that are designed for and fully support the use of eye tracking. As a result, we started developing Of Mice and Messages - a pipe-based eye tracking puzzle game where users solve each level to read the next message in an overarching storyline.
