diff --git a/public/LearnMore.css b/public/LearnMore.css
index 2a4e1a5dbfdd47b7ed86fb52bb720453b917fb7d..34436b4d8cf2117b127a817612df2bc334c56b5f 100644
--- a/public/LearnMore.css
+++ b/public/LearnMore.css
@@ -7,7 +7,7 @@ h1 {
   color: #edc61b;
   text-align:center;
   font-weight: bold;
-  margin-top: 2%;
+  margin-top: 1%;
   margin-left: 40%;
   display: inline-block;
   width: 20%
@@ -23,7 +23,8 @@ h2 {
 
 p {
   color:#383838;
-  font-size: 20px
+  font-size: 20px;
+  text-align: justify
 }
 
 .single-service-line1 {
@@ -45,10 +46,9 @@ p {
 .team-description {
   float:left;
   width: 65%;
-  margin-left: 3%;
+  margin-left: 2.5%;
   margin-bottom: 10px;
   margin-top: -10px;
-  text-align: justify;
 }
 
 .visu-description {
@@ -117,7 +117,7 @@ p {
 #team-photo {
   display:block;
   width: 500px;
-  margin-left: 2%;
+  margin-left: 3%;
   border-radius: 10px;
   float:left;
 }
@@ -134,7 +134,7 @@ p {
     border:none;
     border-bottom:5px solid #ba9d1a;
     transition: all 0.2s;
-    margin-left: 30%;
+    margin-left: 30.5%;
     text-decoration: none;
 }
 .lavizu_btn:hover {
diff --git a/public/more.html b/public/more.html
index 7d3c6102701e5b5ce687c404a3cc8b4271def7d5..9e35149f36ec03ea58c7f2e75ea39edff8cf977d 100644
--- a/public/more.html
+++ b/public/more.html
@@ -22,7 +22,7 @@
     </div>
     <div class="visu-description">
       <h1>About Lavizu</h1>
-      <p>Lavizu aims to explain what is happening in the head of the agent when it is learning. Showing the mental states, the memory and the evolution of knowledge of the agent may lead to a better comprehension of the developmental learning algorithms for our team, researchers or the general public. Being able to debug our algorithms to improve their efficiency is also a goal of this visualisation, and could finally lead to more natural interactions with robots.</p>
+      <p>Lavizu has been developped by Laurianne Charrier, Paul Moncuquet and Dorian Goepp, and is a part of Behaviors.ai project. This visualisation aims to explain what is happening in the head of the agent when it is learning. Showing the mental states, the memory and the evolution of knowledge of the agent may lead to a better comprehension of the developmental learning algorithms for our team, researchers or the general public. Being able to debug our algorithms to improve their efficiency is also a goal of this visualisation, and could finally lead to more natural interactions with robots.</p>
     </div>
 
     <div>