diff --git a/README.md b/README.md
index a53d546..5665073 100644
--- a/README.md
+++ b/README.md
@@ -80,6 +80,7 @@
         display:flex;
         justify-content:center;
         border:0px;
+        transform: translate(12.5%);
     }
     .a {
         color:#f00;
diff --git a/demo2.py b/demo2.py
index 0bac737..3cec52a 100644
--- a/demo2.py
+++ b/demo2.py
@@ -9,7 +9,6 @@ from knn import *
 import matplotlib.pyplot as plt
 from random import *
 
-
 # initialisation du modèle
 if (sys.argv[1] == "knn"):
     model = Knn()
diff --git a/rapport.md b/rapport.md
new file mode 100644
index 0000000..aa7bdf5
--- /dev/null
+++ b/rapport.md
@@ -0,0 +1,72 @@
+<div class="titre">
+    <h1>
+        <span class="a">3NAR</span>
+        <span class="b">(n nearest neighbor avrage rapid)</span>
+    </h1>
+    <p>
+        par Ludovic CASTIGLIA
+    </p>
+</div>
+
+<section>
+    <h2>
+        Problématique
+    </h2>
+    <p>
+    
+    </p>
+</section>
+
+<section>
+    <h2>
+        Algorithme et avantage par rapport à Knn
+    </h2>
+    <p>
+    </p>
+</section>
+
+<section>
+    <h2>
+        Cas d'uttilisation
+    </h2>
+    <p>
+    </p>
+</section>
+
+<section>
+    <h2>
+        Complexité
+    </h2>
+    <p>
+    </p>
+</section>
+
+<style>
+    .titre {
+        border-bottom: 1px solid;
+        padding: 3em;
+    }
+    h1 {
+        text-aligne: center;
+        display:flex;
+        justify-content:center;
+        border:0px;
+        transform: translate(12.5%);
+    }
+    .a {
+        color:#f00;
+        font-weight:900;
+        font-size:2em;
+    }
+    .b {
+        font-size:0.7em;
+    }
+    .titre p {
+        position:absolute;
+        right:15px;
+    }
+    h2 {
+        color: #ff7777;
+        border-bottom: 1px solid #fff;
+    }
+</style>
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