update tutorial + showcase

ProjectShowcase.md

@@ -42,3 +42,5 @@ nav_order: 7
 | **27. PrepPal** <br><br> PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user's preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time! | <img src="../assets/projects/PrepPal.png" width="200"/> |
 | **28. Innit** <br><br> Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users' language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As.| <img src="../assets/projects/innit.png" width="200"/> |
 | **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"/> |

tutorials_demo.md

@@ -180,3 +180,9 @@ nav_order: 2
 - **Lecture**: L18
 - **Description**: Frontend App (React)
 - **GCP GitHub URL**: [App v2](https://github.com/dlops-io/cheese-app-v2#frontend-app-react)
+
+
+## Tutorial 26: Deployment to GCP
+- **Lecture**: L19
+- **Description**: Deployment to GCP
+- **GCP GitHub URL**: [App v3](https://github.com/dlops-io/cheese-app-v3?tab=readme-ov-file#deployment-to-gcp)