diff --git a/README.md b/README.md
index 6714985..441b823 100644
--- a/README.md
+++ b/README.md
@@ -4,20 +4,39 @@ SOD is an embedded, modern cross-platform computer vision and machine learning s
SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
+Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. Built with SOD:
+* Convolutional Neural Networks (CNN) for multi-class (20 and 80) object detection & classification.
+* Recurrent Neural Networks (RNN) for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.).
+* Decision trees for single class, real-time object detection.
+* A brand new architecture written specifically for SOD named RealNets.
+
+
+
+Cross platform, dependency free, amalgamated (single C file) and heavily optimized. Real world use cases includes:
+* Detect & recognize objects (faces included) at Real-time.
+* License plate detection.
+* Intrusion detection.
+* Mimic Snapchat filters.
+* Classify human actions.
+* Object identification.
+* Eye & Pupil tracking.
+* Facial & Body shape extraction.
+* Image/Frame segmentation.
+
#### Notable SOD features
* Built for real world and real-time applications.
-* State-of-the-art, CPU optimized deep-neural networks including the brand new, exclusive RealNets architecture.
-* Patent-free, advanced computer vision algorithms.
-* Support major image format.
-* Simple, clean and easy to use API.
+* State-of-the-art, CPU optimized deep-neural networks including the brand new, exclusive RealNets architecture.
+* Patent-free, advanced computer vision algorithms.
+* Support major image format.
+* Simple, clean and easy to use API.
* Brings deep learning on limited computational resource, embedded systems and IoT devices.
-* Easy interpolatable with OpenCV or any other proprietary API.
-* Pre-trained models available for most architectures.
-* CPU capable, RealNets model training.
+* Easy interpolatable with OpenCV or any other proprietary API.
+* Pre-trained models available for most architectures.
+* CPU capable, RealNets model training.
* Production ready, cross-platform, high quality source code.
-* SOD is dependency free, written in C, compile and run unmodified on virtually any platform & architecture with a decent C compiler.
-* Amalgamated - All SOD source files are combined into a single C file (sod.c) for easy deployment.
+* SOD is dependency free, written in C, compile and run unmodified on virtually any platform & architecture with a decent C compiler.
+* Amalgamated - All SOD source files are combined into a single C file (*sod.c*) for easy deployment.
* Open-source, actively developed & maintained product.
-* Developer friendly support channels.
+* Developer friendly support channels.
