diff --git a/main.css b/main.css
index 2809b97ab78b93e5bd95cac605ae5843319d9f8c..0f5f3ab50626cb2768e3de92579f8120e1f3da12 100644
--- a/main.css
+++ b/main.css
@@ -82,4 +82,3 @@ footer {
     color: #fff;
     padding: 20px 0;
 }
-
diff --git a/main.html b/main.html
index 8509532b827fe4d58ee356f08fbafbea4cbafc35..6eef55d93adc87a4f9062bd2375daf7d0df52bc9 100644
--- a/main.html
+++ b/main.html
@@ -26,6 +26,12 @@
         
         <section>
             <h2>About Us</h2>
+            <ul>
+                <li><p>As first year students, this was our first codefest/hackathon!</p></li>
+                <li><p>we don't have much experience working with AI systems or coding languages outside of python</p></li>
+                <li><p>originally we brainstormed several ideas and attmpted to follow tutorials, but decided to work on pseudo code and research instead</p></li>
+                <li><p>learned how to work with new teammates, create new git project and connect to VS code, how VS code works, webpage setup and styling, etc.</p></li>
+            </ul>
             <section class="main">
                 <section class="developers">
                     <div class="developer">
@@ -35,6 +41,7 @@
                         <div class="description">
                             <h2>Christy Tran</h2>
                             <p>Developer</p>
+                            <p>Computer Science</p>
                             <p>ctt57@drexel.edu</p>
                         </div>
                     </div>
@@ -46,6 +53,7 @@
                         <div class="description">
                             <h2>Andersen Hu</h2>
                             <p>Researcher</p>
+                            <p>Computer Science</p>
                             <p>ah3779@drexel.edu</p>
                         </div>
                     </div>
@@ -57,17 +65,19 @@
                         <div class="description">
                             <h2>Maggie Kocorowski</h2>
                             <p>Front End Designer</p>
+                            <p>User Experience and Interaction Design</p>
                             <p>mjk488@drexel.edu</p>
                         </div>
                     </div>
     
                     <div class="developer">
                         <div class="circular-image">
-                            <img src="./ivy_headshot.jpg" alt="Ivy headshot">
+                            <img src="./christy_headshot.jpg" alt="Ivy headshot">
                         </div>
                         <div class="description">
                             <h2>Ivy Shao</h2>
                             <p>AI Trainer</p>
+                            <p>Data Science</p>
                             <p>is485@drexel.edu</p>
                         </div>
                     </div>
@@ -75,9 +85,20 @@
             </section>
         </section>
 
+        <section>
+            <h2>What We Learned</h2>
+            <ul>
+                <li><p>Work with new teammates</p></li>
+                <li><p>Create a new project and add members in Git</p></li>
+                <li><p>How to conncet project to VS Code</p></li>
+                <li><p>How to use VS Code</p></li>
+                <li><p>learned how to work with new teammates, create new git project and connect to VS code, how VS code works, webpage setup and styling, etc.</p></li>
+            </ul>
+        </section>
+
         <section>
             <h2>Contact</h2>
-            <p>You can reach us at mjk488@drexel.edu</p>
+            <p>You can reach us at mjk488@drexel.edu.</p>
         </section>
     </main>
 
diff --git a/main.py b/main.py
index 139597f9cb07c5d48bed18984ec4747f4b4f3438..60aa99e8062947b86fccc5b06fa3bc8b36d45403 100644
--- a/main.py
+++ b/main.py
@@ -1,2 +1,39 @@
+#Mission: Create a sentiment analysis extention that will take the users text and determine whether or not it is inclusive.
+Depending on the users inclusivity it will display an approving/disapproving image.
+#
+Steps:
+Research Sentimental Analysis
+-Textblob
+Create a Sentimental analysis program using Python
+#
+Research articles, hatespeech, etc... to use to train AI to determine what will be considered inclusive and exclusive.
+Use Libaray to train AI
+# 
+#
+Pseudocode
+Ask user for input (text from file/article/active typing)
+Import libraries (TextBlob)
+Libary (TextBlob) has API for tagging certain phrases
+Check whether or not the text includes tagged phrase
+If text includes tagged phrase, decrease the score
+If text includes no tagged phrases, increase the score
+Calculate the overall score of the user (difference)
+If score is positive then display image of happy cat
+If score is negitive then display image of angry cat
+If score is neutral (zero) then display image of middle cat
+from textblob import TextBlob
+from newspaper import Article
 
+url = "FIXME"
+article = Article(url)
 
+article.download()
+article.parse()
+article.nlp()
+
+text = article.summary
+print(text)
+
+blob = TextBlob(text)
+sentiment = blob.sentiment.polarity_# -1 to 1
+print(sentiment)