Building with AI for Global Impact

On December 12, 2024, the AI Ambassador Projects Demo Day was held virtually on Microsoft Teams and For the first time, two teams have tied as the top teams in our AI Projects Demo Day! The event brought over 27 teams 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 Mashal Ashfaque, Midhuna Mohanraj, Byansi Anthony, Eniola Ajala, and Shedrack Sunday 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: Caroline Kausi, Konstantinos Lianos, Mahnoor Javid, Meerali Naseet, Megha Vishwakarma, ⁠Mudasir Murtaza, Muhammad Samiullah, Taiwo Omoyeni, Abhijith Ganesh & Muhammad Sakib Khan.

Huge congratulations to Team Forest Sentinel AI and Team Wildland Fire Azure AI for securing first place on Demo Day! Their innovative approaches in solving real-world problems with AI are truly inspiring. Keep up the fantastic work!

Forest Sentinel AI team members: Krishnavamsi Regulavalasa and Franck Kasongo leverages geospatial analysis with Azure Machine Learning (ML) to monitor and protect forest ecosystems. The project uses satellite imagery to detect deforestation, track wildlife, and assess environmental changes.

Wildland Fire Azure AI led by Ambassador Manuel Malla, team members: Philippa Burgess, Yash Padhara, Sneha Pandey is focused on predicting and managing wildfires. This project uses machine learning to analyze environmental data like wind and temperature to assess fire risks and behavior.

Other teams that made it to the final round of the Ambassadors Projects Program included Project Serenity, SystemX64, and AI WhatsApp Research Proposal. These teams worked diligently to create impactful solutions to real-world problems. Although they didn’t secure the win, their projects were remarkable and showed tremendous potential.

AI WhatsApp Research Proposal Summarization: Thinh Lam and Benjamin Akinmoyeje of AI WhatsApp Research Proposal Summarization, worked on a tool that addresses the challenge of handling large volumes of unstructured information in WhatsApp chats or research discussions. Using Natural Language Processing (NLP) and summarization models, this Al tool extracts key information from lengthy conversations, creating concise yet comprehensive summaries.

Project Serenity: Abid Hasan Rafi, Rukaiya Taha and N-nyiimock Bitanyanmi of Project Serenity worked on an AI-powered web application focused on delivering personalized content. By leveraging predictive analytics, it tailors recommendations to individual preferences. It offers a seamless, intuitive user experience that adapts to user needs.

SystemX64, by Mohammad Anzil Parveez, Zeliq Zayyan, and Darshan Bhandary, is designed to enhance everyday systems through applications like home automation and predictive maintenance. By using intelligent AI algorithms, the project enables users to control appliances and security systems remotely, while also predicting IoT device failures before they occur. The judges were particularly impressed with the project’s real-world applicability and potential for wide-scale impact.

Overall, this cycle of the Ambassador Projects was a tremendous success. The event brought together some of the most talented minds in the field, showcasing innovative solutions to pressing real-world challenges. We are excited to see the future impact these talented developers will have as they continue to push the boundaries of technology.