Showcase updated

ProjectShowcase.md

@@ -44,3 +44,7 @@ nav_order: 7
 | **29. PillRx** <br><br> PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill. | <img src="../assets/projects/pillrx.png" width="200"/> |
 | **30. Fashion AI** <br><br> Fashion AI is an AI-powered fashion search platform, allowing users to conduct natural language-based search and styling recommendations without endless browsing. | <img src="../assets/projects/FashionAI.jpg" width="200"/> |
 | **31. gAIn** <br><br> gAIn is you automated health and fitness coach, providing expert opinions and suggestions about your health and fitness journey based on up-to-date research and your detailed fitness and activity history. We leverage a state-of-the art LLM for chat interactions with the coach, fine-tuned on health and fitness data, and supplemented with data on the user's historical activity through RAG on data such as Strava history. | <img src="../assets/projects/gAIn.jpeg" width="200"/> |
+| **32. Burning Bush** <br><br> BurningBush is an AI-driven bushfire prediction and mitigation platform designed to safeguard ecosystems, property, and lives. By combining historical geospatial data and multispectral imagery from Sentinel-2, the system predicts bushfire risks in specific regions. Users can search for their property and assess fire probabilities that will allow them to develop timely mitigation plans. BurningBush empowers individuals and first responders to take proactive measures, reducing the devastating impacts of bushfires on vulnerable areas. | <img src="../assets/projects/BurningBush.png" width="200"/> |
+| **33. Reverie** <br><br> Reverie is an AI-powered knowledge exploration platform that redefines learning through intuitive navigation and dynamic pathways | <img src="../assets/projects/Reverie.png" width="200"/> |
+| **34. Game, Set, Match** <br><br> Game, Set, Match is an online application that aims to predict the winner between two profession tennis opponents. The prediction model is trained on a large public data set of past matches and their results. | <img src="../assets/projects/GameSetMatch.png" width="200"/> |
+| **35. CarFever** <br><br> In this project, we aim to develop an application that can accurately identify the car model, make, and year from user-uploaded photos. | <img src="../assets/projects/CarFever.jpg" width="200"/> |