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_projects/1_project.md

@@ -41,7 +41,10 @@ The autonomous system was built on a robust technological stack, integrating mul
 - **Advanced Perception**: Implemented comprehensive obstacle detection and lane tracking
 - **Optimization**: Utilized NPU-optimized model for efficient processing
 
-<iframe width="930" height="450" src="https://www.youtube.com/embed/n6aP2X9CODE" title="Simulation Demonstration" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+<div class="embed-responsive embed-responsive-16by9">
+    <iframe class="embed-responsive-item" src="https://www.youtube.com/embed/n6aP2X9CODE" title="Simulation Demonstration" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> 
+</div>
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_projects/2_project.md

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 This project builds on the concepts developed for the **E-Yantra 2023-2024 Hologlyph Bots** competition, transforming it into a comprehensive **DIY package** for creating swarm holonomic robots. These robots excel in precise movement and collaborative tasks, enabling them to draw artistic patterns, glyphs, or mathematical shapes in a confined arena. This repository includes detailed instructions for both simulation and hardware implementation, making it an excellent starting point for enthusiasts, researchers, and hobbyists.  
 
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-<iframe width="930" height="450" src="https://www.youtube.com/embed/puT0LCRGoLM" title="Hologlyph Bots Demonstrations" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+<div class="embed-responsive embed-responsive-16by9">
+    <iframe class="embed-responsive-item" src="https://www.youtube.com/embed/puT0LCRGoLM" title="Hologlyph Bots Demonstrations" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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 ## Project Overview  

_projects/4_project.md

@@ -12,7 +12,9 @@ category: robotics
 This project focuses on developing an autonomous **Warehouse Drone** for the **e-Yantra 2023-24 competition**, leveraging advanced techniques in navigation, control systems, and simulation. The drone is designed to autonomously navigate a confined warehouse environment, localize itself, and perform tasks efficiently.
 
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-<iframe width="930" height="450" src="https://www.youtube.com/embed/tMtO-cpKz9Y" title="Warehouse Drone Demonstrations" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+<div class="embed-responsive embed-responsive-16by9">
+    <iframe class="embed-responsive-item" src="https://www.youtube.com/embed/tMtO-cpKz9Y" title="Warehouse Drone Demonstrations" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+</div>
 
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