chore: updated README

README.md

@@ -55,8 +55,10 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
 - [💻 Multimodal AI Coding Agent Team with o3-mini and Gemini](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_coding_agent_o3-mini)
 - [📑 AI Meeting Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_meeting_agent)
 - [♜ AI Chess Agent Game](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_chess_agent)
+- [🏠 AI Real Estate Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_real_estate_agent)
 - [🌐 Local News Agent OpenAI Swarm](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/local_news_agent_openai_swarm)
 - [📊 AI Finance Agent with xAI Grok](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/xai_finance_agent)
+- [🎮 AI 3D PyGame Visualizer with DeepSeek R1](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_3dpygame_r1)
 - [🧠 AI Reasoning Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_reasoning_agent)
 - [🧬 Multimodal AI Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/multimodal_ai_agent)
 
@@ -64,6 +66,7 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
 - [🔍 Autonomous RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/autonomous_rag)
 - [🔗 Agentic RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/agentic_rag)
 - [🤔 Agentic RAG with Gemini Flash Thinking](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/gemini_agentic_rag)
+- [🐋 Deepseek Local RAG Reasoning Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/deepseek_local_rag_agent)
 - [🔄 Llama3.1 Local RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/llama3.1_local_rag)
 - [🧩 RAG-as-a-Service](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/rag-as-a-service)
 - [🦙 Local RAG Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/local_rag_agent)

ai_agent_tutorials/ai_3dpygame_r1/README.md

@@ -1,4 +1,4 @@
-## 🎮 AI 3D PyGame Visualizer with R1
+# 🎮 AI 3D PyGame Visualizer with DeepSeek R1
 This Project demonstrates R1's code capabilities with a PyGame code generator and visualizer with browser use. The system uses DeepSeek for reasoning, OpenAI for code extraction, and browser automation agents to visualize the code on Trinket.io.
 
 ### Features

ai_agent_tutorials/ai_3dpygame_r1/ai_3dpygame_r1.py

@@ -42,7 +42,7 @@ with st.sidebar:
     """)
 
 # Main UI
-st.title("AI 3D Visualizer with R1")
+st.title("🎮 AI 3D Visualizer with DeepSeek R1")
 example_query = "Create a particle system simulation where 100 particles emit from the mouse position and respond to keyboard-controlled wind forces"
 query = st.text_area(
     "Enter your PyGame query:",

rag_tutorials/deepseek_local_rag_agent/README.md

@@ -1,4 +1,4 @@
-# Deepseek Local RAG Reasoning Agent 🤔
+# 🐋 Deepseek Local RAG Reasoning Agent 
 
 A powerful reasoning agent that combines local Deepseek models with RAG capabilities. Built using Deepseek (via Ollama), Snowflake for embeddings, Qdrant for vector storage, and Agno for agent orchestration, this application offers both simple local chat and advanced RAG-enhanced interactions with comprehensive document processing and web search capabilities.
 

rag_tutorials/deepseek_local_rag_agent/deepseek_rag_agent.py

@@ -38,7 +38,7 @@ COLLECTION_NAME = "test-deepseek-r1"
 
 
 # Streamlit App Initialization
-st.title("🤔 Deepseek Local RAG Reasoning Agent")
+st.title("🐋 Deepseek Local RAG Reasoning Agent")
 
 # Session State Initialization
 if 'google_api_key' not in st.session_state: