update readme with new links

Author: wjayesh

README.md

@@ -61,16 +61,16 @@ A list of updated and maintained projects by the ZenML team and the community:
 
 | Project | Tags | Tools |
 |---------|------|-------|
-| [LLM Agents](llm-agents) | `NLP` `LLM Agents` `Conversational AI` `RAG` `Vector Stores` `Production MLOps` | `langchain` `llama_index` `faiss` `openai` |
-| [LLM Finetuning](llm-finetuning) | `NLP` `LLM` `Model Fine-tuning` `Transfer Learning` `Parameter Optimization` | `huggingface` `pytorch` `wandb` |
+| [ZenML Support Agent](zenml-support-agent) | `NLP` `LLM Agents` `Conversational AI` `RAG` `Vector Stores` `Production MLOps` | `langchain` `llama_index` `faiss` `openai` |
+| [ZenCoder](zencoder) | `NLP` `LLM` `Model Fine-tuning` `Transfer Learning` `Parameter Optimization` | `huggingface` `pytorch` `wandb` |
 | [Complete Guide to LLMs](llm-complete-guide) | `NLP` `LLM` `RAG` `Fine-tuning` `Model Evaluation` `Embeddings` `Synthetic Data` | `openai` `supabase` `huggingface` `argilla` `gradio` `anthropic` `litellm` |
-| [LLM LoRA Finetuning](llm-lora-finetuning) | `NLP` `Parameter-Efficient Fine-tuning` `LoRA` `LLM` `Distributed Training` | `huggingface` `pytorch` `accelerate` `peft` `phi-2` |
+| [Gamesense](gamesense) | `NLP` `Parameter-Efficient Fine-tuning` `LoRA` `LLM` `Distributed Training` | `huggingface` `pytorch` `accelerate` `peft` `phi-2` |
 | [End-to-end Computer Vision](end-to-end-computer-vision) | `Computer Vision` `Object Detection` `Data Labeling` `Human-in-the-Loop` | `pytorch` `label_studio` `fiftyone` `vertex-ai` `gcp` `yolov8` |
-| [Flux Dreambooth](flux-dreambooth) | `Image Generation` `Fine-tuning` `Stable Diffusion` `LoRA` `Video Generation` | `modal` `kubernetes` `huggingface` `flux` `stable-video-diffusion` |
+| [Magic Photobooth](magic-photobooth) | `Image Generation` `Fine-tuning` `Stable Diffusion` `LoRA` `Video Generation` | `modal` `kubernetes` `huggingface` `flux` `stable-video-diffusion` |
 | [Huggingface to Sagemaker](huggingface-sagemaker) | `Model Deployment` `NLP` `Sentiment Analysis` `Model Training` `CI/CD` | `pytorch` `mlflow` `huggingface` `aws` `sagemaker` `s3` `kubeflow` `slack` `github` |
 | [Databricks Production QA Demo](databricks-production-qa-demo) | `Quality Assurance` `CI/CD` `Model Monitoring` `Model Explainability` `Data Drift` | `databricks` `mlflow` `evidently` `shap` `slack` |
-| [ECB Interest Rate Prediction with GCP Cloud Composer](airflow-cloud-composer-etl-feature-train) | `ETL` `Time Series` `Feature Engineering` `Regression` `Workflow Orchestration` | `cloud-composer` `airflow` `vertex-ai` `bigquery` `xgboost` `gcp` |
-| [Supabase OpenAI Summary](supabase-openai-summary) | `NLP` `Text Summarization` `Database Integration` `LLM` `Automated Reporting` | `openai` `supabase` `slack` `github-actions` `gcp` |
+| [Eurorate Predictor](eurorate-predictor) | `ETL` `Time Series` `Feature Engineering` `Regression` `Workflow Orchestration` | `cloud-composer` `airflow` `vertex-ai` `bigquery` `xgboost` `gcp` |
+| [Nightwatch AI](nightwatch-ai) | `NLP` `Text Summarization` `Database Integration` `LLM` `Automated Reporting` | `openai` `supabase` `slack` `github-actions` `gcp` |
 | [Sign Language Detection with YOLOv5](sign-language-detection-yolov5) | `Computer Vision` `Object Detection` `Real-time Processing` `Model Deployment` | `mlflow` `gcp` `bentoml` `vertex-ai` `docker` |
 
 # 💻 System Requirements