adding other js READMEs

examples/hand_landmarker/js/README.md

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+# MediaPipe HandLandmarker task for web
+
+## Overview
+
+This web sample detects hand landmarks in images and video frames. Landmarks are detected in one of the provided images or from camera frames seen by your device's webcam.
+
+## Prerequisites
+
+* A device that can access the web using Chrome, Firefox, or Safari
+* For iOS devices, iOS 16 or later
+
+## Running the demo
+
+The live demo and code are available in Codepen.
+
+[View the example on Codepen](https://codepen.io/mediapipe-preview/pen/gOKBGPN)

examples/image_classification/js/README.md

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+# MediaPipe Image Classifier task for web
+
+## Overview
+
+This web sample classifies images and video frames. Use one of the provided images or from camera frames seen by your device's webcam to get classifications.
+
+Classifications come from the [ImageNet dataset](https://www.image-net.org/).[See the full list of available classifications](https://storage.googleapis.com/mediapipe-tasks/image_classifier/labels.txt)
+
+## Prerequisites
+
+* A device that can access the web using Chrome, Firefox, or Safari
+* For iOS devices, iOS 16 or later
+
+## Running the demo
+
+The live demo and code are available in Codepen.
+
+[View the example on Codepen](https://codepen.io/mediapipe-preview/pen/BaVZejK)

examples/object_detection/js/README.md

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+# MediaPipe Object Detection task for web
+
+## Overview
+
+This web sample detects objects in images and video frames. Objects are detected in one of the provided images or from camera frames seen by your device's webcam.
+
+Object classes come from the [COCO dataset](https://cocodataset.org/).
+
+## Prerequisites
+
+* A device that can access the web using Chrome, Firefox, or Safari
+* For iOS devices, iOS 16 or later
+
+## Running the demo
+
+The live demo and code are available in Codepen.
+
+[View the example on Codepen](https://codepen.io/mediapipe-preview/pen/vYrWvNg)

examples/text_classification/js/README.md

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+# MediaPipe Text Classification task for web
+
+## Overview
+
+This web sample classifies text as positive or negative in sentiment. Provide text of your own, or populate the text input with some default text.
+
+The model used was trained on the [SST-2 (Stanford Sentiment Treebank) dataset](https://nlp.stanford.edu/sentiment/index.html).
+
+## Prerequisites
+
+* A device that can access the web using Chrome, Firefox, or Safari
+* For iOS devices, iOS 16 or later
+
+## Running the demo
+
+The live demo and code are available in Codepen.
+
+[View the example on Codepen](https://codepen.io/mediapipe-preview/pen/wvXebMW)