diff --git a/README.md b/README.md
index 94f1282..151cd63 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@ Recognize faces/objects in a video stream (from a webcam or a security camera) a
 
 ## Usage  
 ### Installation  
-1. Clone this repo with `git clone https://github.com/slashtechno/wyze-face-recognition.git`  <!-- This URL should be changed once the repo is renamed -->  
+1. Clone this repo with `git clone https://github.com/slashtechno/wyzely-detect`  
 2. `cd` into the cloned repository  
 3. Then, either install with [Poetry](https://python-poetry.org/) or run with Docker  
 
diff --git a/pyproject.toml b/pyproject.toml
index 4e579dc..0072a60 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,6 +3,8 @@ name = "wyzely-detect"
 version = "0.1.0"
 description = "Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices"
 authors = ["slashtechno <77907286+slashtechno@users.noreply.github.com>"]
+repository = "https://github.com/slashtechno/wyzely-detect"
+keywords = ["object-detection", "face-detection", "wyze", "security", "yolov8", "unified-push"]
 license = "MIT"
 readme = "README.md"
 packages = [{include = "wyzely_detect"}]
diff --git a/wyzely_detect/__main__.py b/wyzely_detect/__main__.py
index 6b126e3..dd618f2 100644
--- a/wyzely_detect/__main__.py
+++ b/wyzely_detect/__main__.py
@@ -160,7 +160,7 @@ def main():
 
     args = argparser.parse_args()
 
-    # Check if a CUDA GPU is available. If it is, set it via torch. Ff not, set it to cpu
+    # Check if a CUDA GPU is available. If it is, set it via torch. If not, set it to cpu
     # https://github.com/ultralytics/ultralytics/issues/3084#issuecomment-1732433168
     # Currently, I have been unable to set up Poetry to use GPU for Torch
     for i in range(torch.cuda.device_count()):