diff --git a/ai_agent_tutorials/ai_aqi_analysis_agent/README.md b/ai_agent_tutorials/ai_aqi_analysis_agent/README.md
index e69de29..055f004 100644
--- a/ai_agent_tutorials/ai_aqi_analysis_agent/README.md
+++ b/ai_agent_tutorials/ai_aqi_analysis_agent/README.md
@@ -0,0 +1,74 @@
+# 🌍 AQI Analysis Agent
+
+The AQI Analysis Agent is a powerful air quality monitoring and health recommendation tool powered by Firecrawl and Agno's AI Agent framework. This app helps users make informed decisions about outdoor activities by analyzing real-time air quality data and providing personalized health recommendations.
+
+## Features
+
+- **Multi-Agent System**
+    - **AQI Analyzer**: Fetches and processes real-time air quality data
+    - **Health Recommendation Agent**: Generates personalized health advice
+
+- **Air Quality Metrics**:
+  - Overall Air Quality Index (AQI)
+  - Particulate Matter (PM2.5 and PM10)
+  - Carbon Monoxide (CO) levels
+  - Temperature
+  - Humidity
+  - Wind Speed
+
+- **Comprehensive Analysis**:
+  - Real-time data visualization
+  - Health impact assessment
+  - Activity safety recommendations
+  - Best time suggestions for outdoor activities
+  - Weather condition correlations
+
+- **Interactive Features**:
+  - Location-based analysis
+  - Medical condition considerations
+  - Activity-specific recommendations
+  - Downloadable reports
+
+## How to Run
+
+Follow these steps to set up and run the application:
+
+1. **Clone the Repository**:
+   ```bash
+   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+   cd ai_agent_tutorials/ai_aqi_analysis_agent
+   ```
+
+2. **Install the dependencies**:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. **Set up your API keys**:
+    - Get an OpenAI API key from: https://platform.openai.com/api-keys
+    - Get a Firecrawl API key from: [Firecrawl website](https://www.firecrawl.dev/app/api-keys)
+
+4. **Run the Streamlit app**:
+    ```bash
+    streamlit run ai_aqi_analysis_agent.py
+    ```
+
+## Usage
+
+1. Enter your API keys in the sidebar
+2. Input location details:
+   - City name
+   - State (optional)
+   - Country
+3. Provide personal information:
+   - Medical conditions (optional)
+   - Planned outdoor activity
+4. Click "Analyze & Get Recommendations" to receive:
+   - Current air quality data
+   - Health impact analysis
+   - Activity safety recommendations
+   - Downloadable report
+
+## Note
+
+The air quality data is fetched using Firecrawl's web scraping capabilities. Due to caching and rate limiting, the data might not always match real-time values on the website. For the most accurate real-time data, consider checking the source website directly.
diff --git a/ai_agent_tutorials/ai_aqi_analysis_agent/ai_aqi_analysis_agent.py b/ai_agent_tutorials/ai_aqi_analysis_agent/ai_aqi_analysis_agent.py
index d96d5cd..a0a0689 100644
--- a/ai_agent_tutorials/ai_aqi_analysis_agent/ai_aqi_analysis_agent.py
+++ b/ai_agent_tutorials/ai_aqi_analysis_agent/ai_aqi_analysis_agent.py
@@ -5,7 +5,6 @@ from agno.agent import Agent
 from agno.models.openai import OpenAIChat
 from firecrawl import FirecrawlApp
 import streamlit as st
-import asyncio
 
 class AQIResponse(BaseModel):
     success: bool
diff --git a/ai_agent_tutorials/ai_aqi_analysis_agent/requirements.txt b/ai_agent_tutorials/ai_aqi_analysis_agent/requirements.txt
index e69de29..af9678d 100644
--- a/ai_agent_tutorials/ai_aqi_analysis_agent/requirements.txt
+++ b/ai_agent_tutorials/ai_aqi_analysis_agent/requirements.txt
@@ -0,0 +1,3 @@
+agno
+openai
+firecrawl-py==1.9.0
diff --git a/ai_agent_tutorials/ai_aqi_analysis_agent/test_firecrawl.py b/ai_agent_tutorials/ai_aqi_analysis_agent/test_firecrawl.py
deleted file mode 100644
index 3829df3..0000000
--- a/ai_agent_tutorials/ai_aqi_analysis_agent/test_firecrawl.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from firecrawl import FirecrawlApp
-from pydantic import BaseModel, Field
-
-# Initialize the FirecrawlApp with your API key
-app = FirecrawlApp(api_key='')
-
-class ExtractSchema(BaseModel):
-    aqi: float = Field(description="Air Quality Index")
-    temperature: float = Field(description="Temperature in degrees Celsius")
-    humidity: float = Field(description="Humidity percentage")
-    wind_speed: float = Field(description="Wind speed in kilometers per hour")
-    pm25: float = Field(description="Particulate Matter 2.5 micrometers")
-    pm10: float = Field(description="Particulate Matter 10 micrometers")
-    co: float = Field(description="Carbon Monoxide level")
-
-data = app.extract([
-  'https://www.aqi.in/dashboard/india/andhra-pradesh/kakinada/*'
-], {
-    'prompt': 'Extract the AQI, temperature, humidity, wind speed, PM2.5, PM10, and CO levels from the page.',
-    'schema': ExtractSchema.model_json_schema(),
-})
-print(data)
\ No newline at end of file