diff --git a/README.md b/README.md
index 390eb9ed4214fb423ab9382f2c15219113c0f260..df9f287ff3231296e3bc029295e18fec79723e17 100644
--- a/README.md
+++ b/README.md
@@ -29,10 +29,10 @@ pip install tabulate
 
 1. ***Feature Extraction Methods***
 The system supports the following feature extraction methods:
-- genre: Extracts genres of the movies using TF-IDF vectorization.
-- movie_year: Extracts the release year of the movies.
-- avg_rating: Computes the average rating for each movie.
-- title_length: Computes the length of the movie title.
+- `genre`: Extracts genres of the movies using TF-IDF vectorization.
+- `movie_year`: Extracts the release year of the movies.
+- `avg_rating`: Computes the average rating for each movie.
+- `title_length`: Computes the length of the movie title.
 
 2. ***Regression Models***
 The system supports the following regression models for predicting user ratings:
@@ -53,20 +53,3 @@ Organized under the data/test/ directory, which contains three subdirectories:
 - evaluations: Directory reserved for evaluation results
 
 
-## Architecture
-
-.
-├── data/
-│   ├── test/
-│   │   ├── content/
-│   │   │   ├── movies.csv
-│   │   │   └── tags.csv
-│   │   ├── evidence/
-│   │   │   └── ratings.csv
-│   │   └── evaluations/
-├── loaders.py
-├── models.py
-├── constants.py
-├── configs.py
-├── content_based.ipynb
-└── README.md