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+# Developer - Winter of Code 2020
+# Subhasmita Swain
+### Deep Fusion AI : Social Distance Detector
+
+This project aimed to build a light weight and accurate mobile friendly  Social Distance Detection model. My work throughout this month was to produce a viable python script for detection (using avalable Tensorflow Models) and enumerate a distance measurement algorithm between pedestrians.
+
+I am [Subhasmita Swain](https://github.com/SubhasmitaSw) an undergraduate from Sharda University, as a part of Winter of Code.
+
+This project was mentored by [Sayak Paul](https://github.com/sayakpaul) and [Rishiraj Acharya](https://github.com/rishiraj).
+
+# Contributions
+   Here's my [colab](https://colab.research.google.com/drive/1ZSdQ3eVCBLejNgE-f96fHHv1eEohlp7s?usp=sharing) notebook containing my work.
+- Tested different pre-trained TF models for their performance compyling to the Detector
+- Prepared detection and distance measurement algorithm scripts using ssd-mobilenet-v2 model
+- Tested the performance of TinyYOLO on NVIDIA Jetson Nano V2
+- Provided Documentation for the final project.
+  
+
+# Issue
+- Here's the [Issue](https://github.com/DeepFusionAI/social-distance-detector/issues/6#issuecomment-751362640), I've co-worked on. 
+ 
+
+# Future Scope
+With the upcoming support of TFLite for the EfficientDet model can help improve the accuracy and speed of the Social Distance Detector with more mobile-friendly models.
+Also with further Optimization of the model we could push the perfromace bar ahead a little. 
+
+# Overall Experience
+The constant support and relentless doubt clearings from my mentors Sayak Paul and Rishiraj Acharya helped develop my technical side as well gave me an insight about professional work culture.
+I would also like to Thank my teammates Piysuh, Sudarshana and Hiran, I've learnt a lot from you.