Update README.md

README.md

@@ -1,3 +1,80 @@
 ---
 license: mit
+datasets:
+- sid220/asl-now-fingerspelling
+language:
+- en
+metrics:
+- accuracy
+library_name: keras
 ---
+
+# ASLNow!
+ASLNow! is a web app designed to make learning ASL fingerspelling easy and fun! You can try it live at [asl-now.vercel.app](https://asl-now.vercel.app/).
+
+Demo: [https://www.youtube.com/watch?v=Wi5tAxVasq8](https://www.youtube.com/watch?v=Wi5tAxVasq8)
+## Model
+This model, trained on the isolated fingerspelling dataset is licensed under the MIT License. It will be updated frequently as more data is collected.
+
+### Format
+![Overview of Model](images/plotted_model.png)
+
+#### Input
+21 hand landmarks, each composed of `x`, `y` and `z` coordinates. The `x` and `y` coordinates are normalized
+to `[0.0, 1.0]` by the
+image width and height, respectively. The `z` coordinate represents the landmark depth, with the depth at the wrist
+being
+the origin. The smaller the value, the closer the landmark is to the camera. The magnitude of `z` uses roughly the same
+scale as x.
+
+![Hand Landmarks](https://developers.google.com/static/mediapipe/images/solutions/hand-landmarks.png)
+From: [https://developers.google.com/mediapipe/solutions/vision/hand_landmarker](https://developers.google.com/mediapipe/solutions/vision/hand_landmarker)
+
+Example:
+
+```
+[
+  # Landmark 1
+  [x, y, z],
+  # Landmark 2
+  [x, y, z],
+  ...
+  # Landmark 20
+  [x, y, z]
+  # Landmark 21
+  [x, y, z]
+]
+```
+
+#### Output
+The probability of each class, where classes are defined as such:
+```json
+{
+    "A": 0,
+    "B": 1,
+    "C": 2,
+    "D": 3,
+    "E": 4,
+    "F": 5,
+    "G": 6,
+    "H": 7,
+    "I": 8,
+    "J": 9,
+    "K": 10,
+    "L": 11,
+    "M": 12,
+    "N": 13,
+    "O": 14,
+    "P": 15,
+    "Q": 16,
+    "R": 17,
+    "S": 18,
+    "T": 19,
+    "U": 20,
+    "V": 21,
+    "W": 22,
+    "X": 23,
+    "Y": 24,
+    "Z": 25
+}
+```