diff --git a/.history/README_20250328223710.md b/.history/README_20250328223710.md
new file mode 100644
index 0000000000000000000000000000000000000000..26bb14ad83bd4cf184681627db600ca81b1e4f9e
--- /dev/null
+++ b/.history/README_20250328223710.md
@@ -0,0 +1,12 @@
+## TOAR-classifier v2: A data-driven classification tool for global air quality stations
+This study develops a machine learning approach to classify 23,974 air quality monitoring stations in the TOAR database as urban, suburban, or rural using K-means clustering and an ensemble of supervised classifiers. The proposed method outperforms existing classifications, improving suburban accuracy and providing a more reliable foundation for air quality assessments.
+<img src="./figures/toar_classifier_v2.png" alt="My image" with=100>
+
+### Files
+`data` is the folder contening all data use in this work, including the predictions of station cotegories form Machine Learning (ML) model.
+
+`TOAR-classifier_v2.ipynb` is the notebook contening the code
+
+`requirements.txt` contains all neccessary packages.
+
+### Run code
\ No newline at end of file
diff --git a/README.md b/README.md
index bc18d1efb3498ffe002ee86cdee3b422a1e7625c..26bb14ad83bd4cf184681627db600ca81b1e4f9e 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,9 @@ This study develops a machine learning approach to classify 23,974 air quality m
 
 ### Files
 `data` is the folder contening all data use in this work, including the predictions of station cotegories form Machine Learning (ML) model.
+
 `TOAR-classifier_v2.ipynb` is the notebook contening the code
+
 `requirements.txt` contains all neccessary packages.
 
 ### Run code
\ No newline at end of file