Merge pull request #152 from arm-university/main

Challenge videos

Author: matt-cossins

docs/Challenge_Page.html

@@ -308,7 +308,6 @@ <h2 style="color:#7c3aed; margin:0 0 10px; font-size:24px;">Frequently Asked Que
           <p>No, the participants can apply for only 1 problem statement out of the given 5 problem statements in this challenge.</p>
         </div>
       </details>
-
     </div>
   </div>
 </div>
@@ -342,6 +341,15 @@ <h3>Project Description</h3>
       <p>
         Students will build an embedded speech pipeline performing:
       </p>
+      <div style="margin:24px 0; display:flex; justify-content:center;">
+        <iframe width="560" height="315"
+          src="https://www.youtube.com/embed/6RYfIH39pI0"
+          title="YouTube video"
+          frameborder="0"
+          allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+          allowfullscreen
+          style="max-width:100%; border-radius:12px; box-shadow:0 6px 24px rgba(0,0,0,0.12);"></iframe>
+      </div>
       <ul>
         <li>Speech-to-text using a lightweight ASR model (e.g., Coqui STT or fine-tuned wav2vec2 for Hindi).</li>
         <li>Command parsing and intent recognition in Python.</li>
@@ -412,6 +420,15 @@ <h3>Project Description</h3>
         Students will use MediaPipe Hands (optimized for Arm CPU and Jetson GPU) to detect hand landmarks, then classify
         gestures and map them to keyboard shortcuts using Python libraries like <code>pynput</code> or <code>xdotool</code>.
       </p>
+      <div style="margin:24px 0; display:flex; justify-content:center;">
+        <iframe width="560" height="315"
+          src="https://www.youtube.com/embed/PNdTXSF_-Ak"
+          title="YouTube video"
+          frameborder="0"
+          allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+          allowfullscreen
+          style="max-width:100%; border-radius:12px; box-shadow:0 6px 24px rgba(0,0,0,0.12);"></iframe>
+      </div>
 
       <h3>Key Requirements</h3>
       <ul>
@@ -476,6 +493,15 @@ <h3>Project Description</h3>
         edge-optimized format (TensorFlow Lite / ONNX Runtime), and integrate it with an OpenCV video pipeline.
         Detected anomalies should trigger timestamped logs or saved clips.
       </p>
+      <div style="margin:24px 0; display:flex; justify-content:center;">
+        <iframe width="560" height="315"
+          src="https://www.youtube.com/embed/uWn6R82CrHw"
+          title="YouTube video"
+          frameborder="0"
+          allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+          allowfullscreen
+          style="max-width:100%; border-radius:12px; box-shadow:0 6px 24px rgba(0,0,0,0.12);"></iframe>
+      </div>
 
       <h3>Key Requirements</h3>
       <ul>
@@ -547,6 +573,15 @@ <h3>Project Description</h3>
       </ol>
       to produce natural, fluent spoken output in Language B. All inference must run locally with no cloud dependency, demonstrating efficient use of Arm CPU acceleration and mobile-friendly optimizations.
     </p>
+    <div style="margin:24px 0; display:flex; justify-content:center;">
+      <iframe width="560" height="315"
+        src="https://www.youtube.com/embed/A1X9nIiAV1M"
+        title="YouTube video"
+        frameborder="0"
+        allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+        allowfullscreen
+        style="max-width:100%; border-radius:12px; box-shadow:0 6px 24px rgba(0,0,0,0.12);"></iframe>
+    </div>
 
     <h3>Key Requirements</h3>
     <ul>
@@ -639,6 +674,15 @@ <h3>Project Description</h3>
         </ul>
         The final system will perform real-time inference using either a live camera feed or a standard dataset, with detailed performance comparison against a software-only CPU implementation.
       </p>
+      <div style="margin:24px 0; display:flex; justify-content:center;">
+        <iframe width="560" height="315"
+          src="https://www.youtube.com/embed/_ufBkxl1zxo"
+          title="YouTube video"
+          frameborder="0"
+          allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+          allowfullscreen
+          style="max-width:100%; border-radius:12px; box-shadow:0 6px 24px rgba(0,0,0,0.12);"></iframe>
+      </div>
 
 
       <h3>Key Requirements</h3>