diff --git a/data_folder/config.yaml b/data_folder/config.yaml
index 1eaef16..3a51b0f 100644
--- a/data_folder/config.yaml
+++ b/data_folder/config.yaml
@@ -24,19 +24,18 @@ date:
  24 hours: [true/false]
 
 positions:
- - [Positions 1]
- - [Positions 2]
+  - Software developer
 
 locations:
- - [Locations 1]
- - [Locations 2]
+  - Country1
+  - Country2
 
-distance: [0 or 5 or 10 or 25 or 50 or 100]
+distance: 100
 
 companyBlacklist:
- - [Company Name 1]
- - [Company Name 2]
+  - Company1
+  - Company2
 
 titleBlacklist:
- - [Word 1]
- - [Word 2]
+  - word1
+  - word2
diff --git a/data_folder_example/config.yaml b/data_folder_example/config.yaml
index f6053aa..05235ef 100644
--- a/data_folder_example/config.yaml
+++ b/data_folder_example/config.yaml
@@ -1,39 +1,40 @@
 remote: true
 
 experienceLevel:
- internship: false
- entry: true
- associate: true
- mid-senior level: true
- director: true
- executive: true
+  internship: true
+  entry: false
+  associate: true
+  mid-senior level: false
+  director: true
+  executive: false
 
 jobTypes:
- full-time: true
- contract: true
- part-time: true
- temporary: true
- internship: false
- other: true
- volunteer: false
+  full-time: true
+  contract: false
+  part-time: false
+  temporary: true
+  internship: false
+  other: false
+  volunteer: true
 
 date:
- all time: false
- month: false
- week: true
- 24 hours: false
+  all time: false
+  month: true
+  week: false
+  24 hours: true
 
 positions:
- - Software engineer
+  - Software developer
 
 locations:
- - Germany
+  - Germany
 
 distance: 100
 
 companyBlacklist:
-- Noir
-- Crossover
+  - Noir
+  - Crossover
 
 titleBlacklist:
- - Stage
+  - low
+  - stage
diff --git a/readme.md b/readme.md
index add6fc8..7ec03e2 100644
--- a/readme.md
+++ b/readme.md
@@ -60,10 +60,26 @@ LinkedIn_AIHawk steps in as a game-changing solution to these challenges. It's n
 
 ## Installation
 
+1. **Download and Install Python:**
+
+   Ensure you have Python installed. If not, download and install it from Python's official website. For detailed instructions, refer to the tutorials:
+
+   - [How to Install Python on Windows](https://www.geeksforgeeks.org/how-to-install-python-on-windows/)
+   - [How to Install Python on Linux](https://www.geeksforgeeks.org/how-to-install-python-on-linux/)
+   - [How to Download and Install Python on macOS](https://www.geeksforgeeks.org/how-to-download-and-install-python-latest-version-on-macos-mac-os-x/)
+
+2. **Download and Install Google Chrome:**
+   - Download and install the latest version of Google Chrome in its default location from the [official website](https://www.google.com/chrome).
+
+3. **Download and Install ChromeDriver:**
+   - Download the appropriate ChromeDriver version for your installed Google Chrome from the [ChromeDriver download page](https://googlechromelabs.github.io/chrome-for-testing/).
+   - Place the downloaded `chromedriver` executable in the same location where Google Chrome is installed.
+
+
 1. **Clone the repository:**
    ```bash
-   git clone https://github.com/your-repo/LinkedInJobBot.git
-   cd LinkedInJobBot
+   git https://github.com/feder-cr/LinkedIn_AIHawk_automatic_job_application
+   cd LinkedIn_AIHawk_automatic_job_application
    ```
 
 2. **Install the required packages:**
@@ -71,8 +87,6 @@ LinkedIn_AIHawk steps in as a game-changing solution to these challenges. It's n
    pip install -r requirements.txt
    ```
 
-
-
 ## Configuration
 
 LinkedIn_AIHawk relies on three main configuration files:
@@ -103,20 +117,6 @@ Defines your job search parameters and bot behavior.
 
 Contains your resume information in a structured format. Fill it out with your personal details, education, work experience, and skills. This information is used to auto-fill application forms and generate customized resumes.
 
-### Optional Resume Feature
-
-LinkedIn_AIHawk offers flexibility in how it handles your resume:
-
-- **Using a Specific Resume:**
-  If you want to use a specific PDF resume for all applications, run the bot with the `--resume` option:
-  ```bash
-  python main.py --resume /path/to/your/resume.pdf
-  ```
-
-- **Dynamic Resume Generation:**
-  If you don't use the `--resume` option, the bot will automatically generate a unique resume for each application. This feature uses the information from your `plain_text_resume.yaml` file and tailors it to each specific job application, potentially increasing your chances of success by customizing your resume for each position.
-
-
 ## Usage
 
 1. **Prepare the Data Folder:**
@@ -127,15 +127,20 @@ LinkedIn_AIHawk offers flexibility in how it handles your resume:
    - `resume.pdf` (optional)
 
 2. **Run the Bot:**
+3. 
+### Optional Resume Feature
+LinkedIn_AIHawk offers flexibility in how it handles your pdf resume:
 
+- **Dynamic Resume Generation:**
+  If you don't use the `--resume` option, the bot will automatically generate a unique resume for each application. This feature uses the information from your `plain_text_resume.yaml` file and tailors it to each specific job application, potentially increasing your chances of success by customizing your resume for each position.
    ```bash
    python main.py
    ```
-   or
-   
-   ```bash
-   python main.py [--resume PATH_TO_RESUME_PDF]
-   ```
+- **Using a Specific Resume:**
+  If you want to use a specific PDF resume for all applications, run the bot with the `--resume` option:
+  ```bash
+  python main.py --resume /path/to/your/resume.pdf
+  ```
 
 ## Documentation