diff --git a/projects/v1/4yp/E18/Personalized-Multimodal-Emotion-Prediction/index.json b/projects/v1/4yp/E18/Personalized-Multimodal-Emotion-Prediction/index.json
index f5aae549..a30cbf7d 100644
--- a/projects/v1/4yp/E18/Personalized-Multimodal-Emotion-Prediction/index.json
+++ b/projects/v1/4yp/E18/Personalized-Multimodal-Emotion-Prediction/index.json
@@ -1,6 +1,6 @@
 {
     "title": "Personalized Multimodal Emotion Prediction",
-    "description": "Our aim is to build an ensemble model that is  based on reinforcement learning, and capable of capturing the user specific  weight of each modality (visual,audio,text) in the emotional status.",
+    "description": "In this research, we introduce a personalized emotion prediction model that focuses on four key emotions: happy, sad, neutral, and angry. What makes this model special is its ability to adapt to each individual user, learning from how they personally express emotions and adjusting the importance of each modality accordingly.",
     "category": {
         "title": "Undergraduate Research Projects",
         "code": "4yp",
diff --git a/projects/v1/4yp/E18/index.json b/projects/v1/4yp/E18/index.json
index 5d62d7fc..fc212a4e 100644
--- a/projects/v1/4yp/E18/index.json
+++ b/projects/v1/4yp/E18/index.json
@@ -170,7 +170,7 @@
     },
     "e18-4yp-Personalized-Multimodal-Emotion-Prediction": {
         "title": "Personalized Multimodal Emotion Prediction",
-        "description": "Our aim is to build an ensemble model that is  based on reinforcement learning, and capable of capturing the user specific  weight of each modality (visual,audio,text) in the emotional status.",
+        "description": "In this research, we introduce a personalized emotion prediction model that focuses on four key emotions: happy, sad, neutral, and angry. What makes this model special is its ability to adapt to each individual user, learning from how they personally express emotions and adjusting the importance of each modality accordingly.",
         "category": {
             "title": "Undergraduate Research Projects",
             "code": "4yp",
diff --git a/projects/v1/all/index.json b/projects/v1/all/index.json
index 91b69f36..c8a9d4a8 100644
--- a/projects/v1/all/index.json
+++ b/projects/v1/all/index.json
@@ -20057,7 +20057,7 @@
     },
     "e18-4yp-Personalized-Multimodal-Emotion-Prediction": {
         "title": "Personalized Multimodal Emotion Prediction",
-        "description": "Our aim is to build an ensemble model that is  based on reinforcement learning, and capable of capturing the user specific  weight of each modality (visual,audio,text) in the emotional status.",
+        "description": "In this research, we introduce a personalized emotion prediction model that focuses on four key emotions: happy, sad, neutral, and angry. What makes this model special is its ability to adapt to each individual user, learning from how they personally express emotions and adjusting the importance of each modality accordingly.",
         "category": {
             "title": "Undergraduate Research Projects",
             "code": "4yp",