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README.md

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-license: mit
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+# Model Description
+### Overview
+This model detects hand gestures that can be used as input controls for video games. It uses object detection to recognize specific hand poses from a webcam or standard camera and translate them into game actions.
+The goal of the project is to explore whether computer vision–based gesture recognition can provide a low-cost and accessible alternative to traditional game controllers.
+
+### Training Approach
+The model was trained using the nano version of YOLOv8 through the Ultralytics training framework.
+The model was trained from pretrained YOLOv8n weights and fine-tuned on a custom hand gesture dataset.
+
+### Intended Use Cases
+* Gesture-controlled video games with simple control schemes
+* Touchless interfaces
+* Interactive displays
+* Public kiosks
+* Smart home media controls
+* Desktop navigation