Added a new project - TF.js-TFLite Object Detection. (#8147)

GALLERY.md

@@ -73,7 +73,8 @@ Please reach out to us if you'd like to put your project on the list.
 - [Brainchop.org](https://neuroneural.github.io/brainchop/) - Brings automatic 3D MRI segmentation capability to neuroimaging by running a deep learning model in the web-browser on the user side - By Mohamed Masoud and Sergey Plis. [[demo](https://neuroneural.github.io/brainchop/)][[repo](https://github.com/neuroneural/brainchop)][[wiki](https://github.com/neuroneural/brainchop/wiki)]
 - [chestxray.ai](https://github.com/jordimassaguerpla/chestxray.ai) - X-Ray image of you Chest, and predicts the probability of having any of these 4 diseases:Cardiomegaly,Mass,Pneumotorax,Edema - By Jordi Massaguer Pla. [[repo](https://github.com/jordimassaguerpla/chestxray.ai)]
 - [asanAI](https://asanai.scads.ai/) - A tool to experiment with different layer types, optimizers and so on with default and custom data, fully in the browser, see and visualize results and export to a python-model that can be run locally.
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+- [TF.js-TFLite Object Detection](https://github.com/NSTiwari/TFJS-TFLite-Object-Detection) - This project is an implementation of object detection to detect different categories of waste in real-time directly on the browser using the TF.js-TFLite Web API - by [Nitin Tiwari](https://linkedin.com/in/tiwari-nitin).
+
 ## Tutorials / Codelabs
 
 These tutorials augment the [official tutorials](https://js.tensorflow.org/tutorials/).