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index.html

@@ -318,6 +318,29 @@ <h3>One video, a 3D reconstruction of civil infrastructure</h3>
               </label>
             </div>
           </article>
+
+          <article class="project-card">
+            <div class="teaser" role="img" aria-label="Hand_signs">
+              <img src="assets/group_A.png" alt="" style="position:absolute; inset:0; width:100%; height:100%; object-fit:cover; z-index:2;">
+              <span class="teaser-label" style="z-index:3;">Group A</span>
+            </div>
+            <div class="project-content">
+              <p class="project-meta">Gesture detection, tracking</p>
+              <h3>Real time hand gesture detection: from rock paper scissors to sign interpretation</h3>
+              <p class="project-abstract">
+                This project focuses on building a computer vision system capable of recognizing a variety of hand signs and gestures captured by a static camera.
+                The core goal is to develop a robust gesture recognition pipeline that can distinguish between different hand configurations in real time.
+                As a proof-of-concept, the system will be integrated into the game of rock-paper-scissors, where it detects each player's gesture and determines the outcome of each round.
+                The final result will be an interactive demo showcasing accurate and responsive hand gesture recognition in a playful, real-world scenario.
+              </p>
+              <label class="project-toggle-label">
+                <input class="project-toggle" type="checkbox" aria-label="Toggle full project pitch">
+                <span class="project-toggle-more">Read more</span>
+                <span class="project-toggle-less">Show less</span>
+              </label>
+            </div>
+          </article>
+
 
 
           <article class="project-card add-project-card">