From eea3c6fa292f7ef28d15071471cd6425466a779b Mon Sep 17 00:00:00 2001
From: cindy-x-liang <67083541+cindy-x-liang@users.noreply.github.com>
Date: Thu, 31 Oct 2024 06:27:14 -0400
Subject: [PATCH] fixed typos

---
 index.html | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/index.html b/index.html
index dd31523..39f31d0 100644
--- a/index.html
+++ b/index.html
@@ -44,7 +44,7 @@ <h1>
 
                     Hi, I'm Cindy Liang
                 </h1>
-                <p>A rising junior studying computer science at Cornell University.
+                <p>A junior studying computer science at Cornell University.
                     I'm currently interested in machine learning, full stack development, and sofware engineering.
                     <br>
                     <br>
@@ -73,7 +73,7 @@ <h1>
                 </div>
                 <div class="about-col-2">
                     <h1 class="sub-title">About Me</h1>
-                    <p style="color:white;font-size: 22px">I am a rising junior studying computer science at Cornell
+                    <p style="color:white;font-size: 22px">I am a junior studying computer science at Cornell
                         University.
                         <br>
                         <br>
@@ -124,11 +124,11 @@ <h2>Smart Travel App</h2>
                             itinerary and have the option to chat with the agent to edit their itinerary.
                             <br>
                             When they are finished, they can view their itinerary on a final itinerary page. This page
-                            will also be stored in "itinerary history" opn the app so user's can refer to old
+                            will also be stored in "itinerary history" on the app so user's can refer to old
                             itineraries if they like.
                             <br>
                             The user will receive flight and hotel suggestions as well on the final itinerary page which
-                            is received from a python Flask app that incorporated a customized LangChain agent that I
+                            is received from a Flask app that integrated a customized LangChain agent that I
                             built. The app uses HTTP requests to get the necessary information.
                         </p>
                         <a href="https://github.com/cindy-x-liang/SmartTravelApp"><i
@@ -153,12 +153,12 @@ <h2>Outfit App</h2>
                             Upon downloading the app, users can enter their names and view a
                             brief demo of how the app works.
                             <br>
-                            After granting location permissions, on the main page, users will receive an
+                            After granting location permissions users will receive an
                             outfit suggestion alongside a weather forecast.
                             <br>
                             Users can then select the wardrobe button to choose clothes from their closet to add to
                             their current outfit on the main page.
-                            Users can also add clothes to their wardrobe.
+                            Users can also upload images of their clothes to their wardrobe.
                             <br>
                             Users will also have the option to pre-plan outfits for vacation with the vacation button at
                             the bottom of the main page.
@@ -215,7 +215,7 @@ <h2>The Giver</h2>
                             <br>
                             The dataset used for this project are Amazon items.
                             <br>
-                            Using a bag of words model, we stored each amazon item as a vector of its description and
+                            Using a bag of words model, we stored each Amazon item as a vector of its description and
                             features. We then
                             stored all of our documents using an inverted index, the keys being the words and values
                             being a list of all documents containing that word.
@@ -241,7 +241,7 @@ <h2>Trigger Warning</h2>
                         <p style="font-size:13px;">
                             <br>
                             In an attempt to mitigate the harmful effects reading triggering content may have
-                            on an individual's mental well being, trigger warning seeks to provide
+                            on an individual's mental well being, Trigger Warning seeks to provide
                             alerts when a website may contain triggering information. Website content is passed into
                             OpenAI
                             API and a response is returned which indicates if the website has the potential to be