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README.md

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-# Deep Learning Self Driving Model for Amazon DeepRacer
+# Deep Reinforcment Learning Model for Self Driving in Amazon DeepRacer
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 ## Overview
-This repository contains the code and resources for developing a deep learning model aimed at enabling autonomous driving capabilities. The primary goal is to create a model capable of driving based on video input. The trained model will be deployed onto an Amazon DeepRacer vehicle for real-world testing. The training environment utilized for this project is a simulation built in Unity.
+This repository contains the code and resources for developing a deep learning model aimed at enabling autonomous driving capabilities. The primary goal is to create a model capable of driving based on image input. The trained model is then deployed onto an Amazon DeepRacer vehicle for real-world testing. The training environment utilized for this project is a simulation built in Unity.
 This project is developed under FIT DataLab at CTU
 
-## Features
-- Utilizes deep reinforcement learning techniques for autonomous driving.
-- Integration with Amazon DeepRacer platform.
-- Simulation environment developed in Unity.
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+https://github.com/user-attachments/assets/da684805-6955-4464-866b-192f42635087
 
 
 ## Installation
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     conda env create --name yourenv --file=environment.yml
     ```
 
+## Demonstration at the Open Days at FIT CTU
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+Open Days FIT CTU | Demo
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+<img src="https://github.com/user-attachments/assets/8c4ca63e-f98d-41e4-bf67-03a45367a3ab" height="700"> | <video src='https://github.com/user-attachments/assets/fb21d454-1a7a-45b3-866b-6a2272fab3c0' height="700">
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 ## Contributors
 <table>
   <tr>