--- a/README.md
+++ b/README.md
@@ -1,33 +1,28 @@
-# Lung Cancer Prediction
-
-This repository contains a lung cancer prediction system that achieves an impressive accuracy of 99.67% using machine learning techniques. The system uses a deep learning model to predict the likelihood of lung cancer based on various input features such as age, gender, lifestyle factors, and medical history.
-
-## Screenshots
-<p align="center">
-  <img src="/screenshots/home.JPG" alt="Home">
-  <img src="/screenshots/form.JPG" alt="Form">
-  <img src="/screenshots/results.JPG" alt="Results">
-</p>
-
-## Usage
-1. Clone this repository to your local machine.
-2. Install the required dependencies:
-```
-pip install pandas matplotlib Flask scikit-learn keras
-```
-3. Train the model by running:
-```
-python model.py
-```
-4. Start the Flask web application with:
-```
-python gui.py
-```
-7. Access the application through your web browser at http://localhost:5000.
-8. Fill in the form with the required information.
-9. Click the "Submit" button to get the predicted outcome.
-
-## License
-This project is licensed under the MIT License. See the LICENSE file for details.
-
-With this Lung Cancer Prediction system, early detection of lung cancer becomes more accessible, potentially saving lives through timely intervention. Please note that this prediction system is not a substitute for professional medical diagnosis, and anyone with suspected lung cancer should seek advice from a qualified healthcare professional.
+# Lung Cancer Prediction
+
+This repository contains a lung cancer prediction system that achieves an impressive accuracy of 99.67% using machine learning techniques. The system uses a deep learning model to predict the likelihood of lung cancer based on various input features such as age, gender, lifestyle factors, and medical history.
+
+
+
+## Usage
+1. Clone this repository to your local machine.
+2. Install the required dependencies:
+```
+pip install pandas matplotlib Flask scikit-learn keras
+```
+3. Train the model by running:
+```
+python model.py
+```
+4. Start the Flask web application with:
+```
+python gui.py
+```
+7. Access the application through your web browser at http://localhost:5000.
+8. Fill in the form with the required information.
+9. Click the "Submit" button to get the predicted outcome.
+
+## License
+This project is licensed under the MIT License. See the LICENSE file for details.
+
+With this Lung Cancer Prediction system, early detection of lung cancer becomes more accessible, potentially saving lives through timely intervention. Please note that this prediction system is not a substitute for professional medical diagnosis, and anyone with suspected lung cancer should seek advice from a qualified healthcare professional.