diff --git a/README.md b/README.md
index 1bdb136..bb93c9e 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 <p align="center">
   <a href="http://www.theunwindai.com">
-    <img src="docs/banner/unwind.png" width="600px" alt="Unwind AI">
+    <img src="docs/banner/unwind_black.png" width="900px" alt="Unwind AI">
   </a>
 </p>
 
diff --git a/ai_agent_tutorials/ai_health_fitness_agent/README.md b/ai_agent_tutorials/ai_health_fitness_agent/README.md
index 5441938..6f7a79a 100644
--- a/ai_agent_tutorials/ai_health_fitness_agent/README.md
+++ b/ai_agent_tutorials/ai_health_fitness_agent/README.md
@@ -2,12 +2,6 @@
 
 The **AI Health & Fitness Planner** is a personalized health and fitness Agent powered by Phidata's AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level, dietary preferences, and fitness goals.
 
-Here's a small demo of the application: 
-
-[Watch the demo video here](https://drive.google.com/file/d/1ZdAihfg9NuEnqEFTdDWyRqVe7qTWdz80/view?usp=sharing)
-
----
-
 ## Features
 
 - **Health Agent and Fitness Agent**
@@ -23,11 +17,8 @@ Here's a small demo of the application:
   - Covers warm-ups, main workouts, and cool-downs.
   - Includes actionable fitness tips and progress tracking advice.
 
-- **Interactive Q&A**:
-  - Allows users to ask follow-up questions about their plans.
-  - Provides AI-generated responses for personalized guidance.
+- **Interactive Q&A**: Allows users to ask follow-up questions about their plans.
 
----
 
 ## Requirements
 
@@ -35,20 +26,15 @@ The application requires the following Python libraries:
 
 - `phidata`
 - `google-generativeai`
-- `anthropic`
 - `streamlit`
 
 Ensure these dependencies are installed via the `requirements.txt` file according to their mentioned versions
 
----
-
 ## How to Run
 
 Follow the steps below to set up and run the application:
 Before anything else, Please get a free Gemini API Key provided by Google AI here: https://aistudio.google.com/apikey
 
-
-
 1. **Clone the Repository**:
    ```bash
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
@@ -58,8 +44,7 @@ Before anything else, Please get a free Gemini API Key provided by Google AI her
     ```bash
     pip install -r requirements.txt
     ```
-3. **Run the Streamlit App(s)**
-    If you run the application:
+3. **Run the Streamlit app**
     ```bash
     streamlit run ai_health-fitness_agent/health_agent.py
     ```
diff --git a/ai_agent_tutorials/ai_health_fitness_agent/requirements.txt b/ai_agent_tutorials/ai_health_fitness_agent/requirements.txt
index 2773c90..86a802a 100644
--- a/ai_agent_tutorials/ai_health_fitness_agent/requirements.txt
+++ b/ai_agent_tutorials/ai_health_fitness_agent/requirements.txt
@@ -1,4 +1,3 @@
 phidata==2.5.33
 google-generativeai==0.8.3
-anthropic==0.39.0
 streamlit==1.40.2
\ No newline at end of file
diff --git a/ai_agent_tutorials/ai_startup_trend_analysis_agent/README.md b/ai_agent_tutorials/ai_startup_trend_analysis_agent/README.md
index 378c411..319669d 100644
--- a/ai_agent_tutorials/ai_startup_trend_analysis_agent/README.md
+++ b/ai_agent_tutorials/ai_startup_trend_analysis_agent/README.md
@@ -34,7 +34,7 @@ The AI Startup Trend Analysis Agent is tool for budding entrepreneurs that gener
 
 4. **Run the application**:
    ```bash
-   streamlit run business_insider_agent.py
+   streamlit run startup_trends_agent.py
    ```
 ### Important Note
 - The system specifically uses Claude's API for advanced language processing. You can obtain your Anthropic API key from [Anthropic's website](https://www.anthropic.com/api).
diff --git a/docs/banner/unwind_black.png b/docs/banner/unwind_black.png
new file mode 100644
index 0000000..f2effbf
Binary files /dev/null and b/docs/banner/unwind_black.png differ
diff --git a/rag_tutorials/llm_app_hybrid_RAG_claude/README.md b/rag_tutorials/llm_app_hybrid_RAG_claude/README.md
index 749b2f5..d045109 100644
--- a/rag_tutorials/llm_app_hybrid_RAG_claude/README.md
+++ b/rag_tutorials/llm_app_hybrid_RAG_claude/README.md
@@ -4,7 +4,9 @@ A powerful document Q&A application that leverages Hybrid Search (RAG) and Claud
 
 ## Demo
 
-![Demo](rag_tutorials/llm_app_hybrid_RAG_claude/LLM-Hybrid-RagLite-Claude.mp4)
+
+https://github.com/user-attachments/assets/f119c363-4433-40c8-b87e-53e434d03c7b
+
 
 ## Features