Building with AI for Global Impact
On June 13, 2024, The Ambassador Projects Demo Day was held virtually on Teams. The event brought together rising developers from all over the world to collaborate and create innovative solutions to real-world problems.
We would like to extend our sincerest thanks to the Gold leads Aayushi Singh, Konstantinos Sitistas, Megha Vishwakarma, Hadil BenAmor, Marjan Hussein for their hard work and dedication in putting together such an amazing event and leading this past cycle of the projects program. Without their tireless efforts, this event would not have been possible. In addition, we would like to thank our Gold milestone judges, Byansi Anthony, Deepthi Balasubramanian, Meerali Naseet, Mudasir Murtaza and Subhashis Paul.
The winning team was Kairos, led by Ambassador Sarosij Ghosh Ray. Their project, Street Savvy, was chosen as the winner because of its innovative approach to solving a real-world problem. Street Savvy is an interactive simulation powered by Azure AI Services that teaches the player about the Indian traffic rules in a gamified manner. This project addresses the critical issue of road safety and driver education in India. Despite existing regulations, India continues to have one of the highest rates of traffic accidents and fatalities in the world. A major contributing factor is the lack of comprehensive understanding and adherence to traffic rules among drivers. Street Savvy tries to teach and raise awareness about Indian traffic rules and road safety in a fun and interactive way so that the youth, drivers or even kids can learn. The judges were impressed with the team’s ability to work together and create a solution that was both practical and innovative.
Other teams that participated in the Ambassadors Projects Program and made it to the final 5 round included Rhino Team, Team Matrix, Catalyst and AgriVision . Each team worked tirelessly to create innovative solutions to real-world problems. Although they did not win, their projects were impressive and showed great promise.
Rhino Team - Team Rhino is crafting an innovative Power Apps solution tailored for the more than 5000 Microsoft Learn Student Ambassadors around the world. This app not only facilitates seamless team formation but also empowers team leads to pinpoint individuals with specific skillsets and team seeker to find adequate team thanks to AI suggestions.
Team Matrix - Aims to develop a Tomato Disease Classifier App using Azure Custom Vision, Azure Web App, and Azure OpenAI Service technology. The app targets farmers and agricultural professionals, providing them with a tool for early detection and classification of common tomato diseases. Leveraging machine learning, computer vision techniques, and natural language processing, the app will assist in identifying diseases promptly, thereby enabling effective disease management and enhancing crop yield and quality.
Catalys - The Code Analysis and Vulnerability Prediction Tool automates code analysis, predicts security issues using machine learning, and offers insights and mitigation strategies to developers.
AgriVision - The 2018 Kerala floods in India were a significant natural disaster caused by unprecedented monsoon rainfall, severely impacting the agricultural sector. This project aims to assess the impact of these floods on agricultural productivity using Normalized Difference Vegetation Index (NDVI) data. By analyzing NDVI data, we aim to provide insights into the extent of agricultural damage and recovery post-flood. The results will help local communities and policymakers improve disaster preparedness, response strategies, and agricultural planning.
Overall, this cycle of Ambassador Projects was a huge success. The event brought together some of the brightest minds in the industry and showcased some truly innovative solutions to real-world problems. We look forward to seeing what the future holds for these talented developers.
Learn more about the Microsoft Learn Student Ambassadors program here.
Microsoft
