Modifying src/README.md

README.md

@@ -12,7 +12,7 @@ This repository contains algorithms that shine in this setting in terms of both
  
 These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline.
 
-The tf directrory contains code, examples and scripts for all these algorithms in TensorFlow. The cpp directory has training and inference code for Bonsai and ProtoNN algorithms in C++. Please see install/run instruction in the Readme pages within these directories.
+The tf directrory contains code, examples and scripts for all these algorithms in TensorFlow. The cpp directory has training and inference code for Bonsai and ProtoNN algorithms in C++. Please see install/run instruction in the Readme pages within these directories. The Applications directory contains the code for the GesturePod - a gesture recognition system.
 
 For details, please see our [wiki page](https://github.com/Microsoft/EdgeML/wiki/) and our ICML'17 publications on [Bonsai](docs/publications/Bonsai.pdf) and [ProtoNN](docs/publications/ProtoNN.pdf) algorithms, NIPS'18 publications on [EMI-RNN](docs/publications/EMI-RNN.pdf) and [Fast(G)RNN](docs/publications/FastGRNN.pdf).  
 
@@ -22,7 +22,6 @@ Core Contributors:
   - [Chirag Gupta](https://aigen.github.io/)
   - [Don Dennis](https://dkdennis.xyz)
   - [Harsha Vardhan Simhadri](http://harsha-simhadri.org)
-  - [Shishir G Patil](http://shishirpatil.github.io)
 
 We welcome contributions, comments, and criticism. For questions, please [email Harsha](mailto:harshasi@microsoft.com).