Anjaliavv51 · vishalnadarge · Nov 1, 2024
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
@@ -125,4 +125,4 @@ enforcement ladder](https://github.com/mozilla/diversity).
 
 For answers to common questions about this code of conduct, see the FAQ at
 https://www.contributor-covenant.org/faq. Translations are available at
-https://www.contributor-covenant.org/translations.
+https://www.contributor-covenant.org/translations.  correct it
diff --git a/Coverpage.html b/Coverpage.html
@@ -26,11 +26,10 @@
             justify-content: center;
             align-items: center;
             text-align: center;
-            position: relative; /* Ensure container can position children absolutely */
+            position: relative;
         }
 
         .explore-btn {
-            margin-left: 35%;
             margin-top: 20px;
             padding: 15px 30px;
             font-size: 1.6rem;
@@ -41,7 +40,7 @@
             cursor: pointer;
             transition: all 0.3s ease-in-out;
             animation: pulse 1.5s infinite;
-            font-family:'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
+            font-family: 'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
         }
 
         .explore-btn:hover {
@@ -61,34 +60,33 @@
             }
         }
 
-        /* SVG Styles */
         svg {
-            margin-left: 35%;
             font-family: Algerian;
             width: 100%; 
-            height: auto; /* Maintain aspect ratio */
-            max-width: 600px; /* Limit size */
+            height: auto; 
+            max-width: 600px; 
         }
+
         svg text {
             animation: stroke 5s infinite alternate;
             stroke-width: 2;
             stroke: #582f0e;
             font-size: 100px;
         }
+
         @keyframes stroke {
             0% {
-                fill: rgba(72,138,204,0); 
+                fill: rgba(72, 138, 204, 0); 
                 stroke: #582f0e;
                 stroke-dashoffset: 25%; 
                 stroke-dasharray: 0 50%; 
-                stroke-width: 2;
             }
             70% {
-                fill: rgba(72,138,204,0); 
+                fill: rgba(72, 138, 204, 0); 
                 stroke: rgb(253, 137, 137); 
             }
             80% {
-                fill: rgba(72,138,204,0); 
+                fill: rgba(72, 138, 204, 0); 
                 stroke: #582f0e; 
                 stroke-width: 3; 
             }
@@ -103,25 +101,23 @@
 
         @media screen and (max-width: 1095.54px) {
             svg text {
-                font-size: 100px; /* Adjust font size for smaller screens */
-
+                font-size: 50px; /* Adjust font size for smaller screens */
             }
         }
+
         .small-text {
-    font-size: 1.5rem; /* Smaller font size for "Welcome to" */
-    color: rgb(136, 9, 9);
-    text-transform: uppercase;
-    text-decoration-thickness: 50px;
-    font-family:'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
-    display: block;
-    margin-top: 70px;
-    margin-left: 35%;
-}
+            font-size: 1.5rem; 
+            color: rgb(136, 9, 9);
+            text-transform: uppercase;
+            font-family: 'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
+            display: block;
+            margin-top: 70px;
+        }
     </style>
 </head>
 <body>
     <div class="container">
-        <span class="small-text">Welcome to</span><br>
+        <span class="small-text">Welcome to</span>
         <!-- Animated SVG Title -->
         <svg viewBox="0 0 800 200">
             <text x="50%" y="50%" dominant-baseline="middle" text-anchor="middle">
@@ -135,24 +131,30 @@
     <script>
         function explore() {
             alert("Let's explore the Retro World!");
-             // Redirect to index.html
+            // Redirect to index.html
             window.location.href = "index.html";
         }
-    </script>
-    <script>
+
         window.embeddedChatbotConfig = {
-        chatbotId: "dGlQ5bP-F7GodLWzgrVAx",
-        domain: "www.chatbase.co"
-        }
-        </script>
-        <script
+            chatbotId: "dGlQ5bP-F7GodLWzgrVAx",
+            domain: "www.chatbase.co"
+        };
+    </script>
+    <script
         src="https://www.chatbase.co/embed.min.js"
         chatbotId="dGlQ5bP-F7GodLWzgrVAx"
         domain="www.chatbase.co"
         defer>
-        </script>
+    </script>
+
     <div class="gtranslate_wrapper"></div>
-    <script>window.gtranslateSettings = {"default_language":"en","detect_browser_language":true,"wrapper_selector":".gtranslate_wrapper"}</script>
+    <script>
+        window.gtranslateSettings = {
+            "default_language": "en",
+            "detect_browser_language": true,
+            "wrapper_selector": ".gtranslate_wrapper"
+        };
+    </script>
     <script src="https://cdn.gtranslate.net/widgets/latest/float.js" defer></script>
 </body>
 </html>
diff --git a/cart.js b/cart.js
@@ -4,10 +4,11 @@ function addItemToCart() {
     addToCart(itemName, itemPrice);
 }
 
-const addToCart = function(name, price){
+const addToCart = function(name, price) {
     let cartItems = localStorage.getItem('cartItems');
     cartItems = cartItems ? JSON.parse(cartItems) : [];
-    if(name==null && price==null) return;
+    if (name == null || price == null) return; // Changed && to || for better null handling
+
     const existingItem = cartItems.find(item => item.name === name);
     if (!existingItem) {
         cartItems.push({ name, price });
@@ -17,7 +18,6 @@ const addToCart = function(name, price){
 
     updateCartDisplay();
     calculateBill();
-
 }
 
 const updateCartDisplay = function() {
@@ -39,63 +39,54 @@ const updateCartDisplay = function() {
     });
 }
 
-
-// calculate total bill amount
-let total = 0;
-const calculateBill = ()=>{
-    itemPrices = document.querySelectorAll(".price");
-    for (p of itemPrices){
-        if (p!=null){
-            console.log(p.innerText);
-            total += parseFloat(p.innerText.replace('$',''));
+let total = 0; // Moved total initialization here to reset it every time bill is calculated
+const calculateBill = () => {
+    total = 0; // Reset total before calculation
+    const itemPrices = document.querySelectorAll(".price");
+    itemPrices.forEach(p => {
+        if (p != null) {
+            total += parseFloat(p.innerText.replace('$', ''));
         }
-    }
+    });
 
     console.log(total);
-    if(total!=0 && !isNaN(total)){
-        document.getElementById("bill").innerText = "$" + total.toFixed(2)
+    if (total !== 0 && !isNaN(total)) {
+        document.getElementById("bill").innerText = "$" + total.toFixed(2);
+    } else {
+        document.getElementById("bill").innerText = "$0.00"; // Reset bill display if total is zero
     }
-
 }
 
-document.addEventListener('DOMContentLoaded', function () {
+document.addEventListener('DOMContentLoaded', function() {
     addItemToCart();
 });
 
 let orderBtn = document.querySelector(".butt");
-orderBtn.addEventListener("click", ()=>{
-    if(total==0){
-       alert("Please add something in the cart to place the order");
-   }
-   else{
-
-       alert("Order placed!");
-   }
-})
+orderBtn.addEventListener("click", () => {
+    if (total === 0) {
+        alert("Please add something to the cart to place the order");
+    } else {
+        alert("Order placed!");
+    }
+});
 
 // Prioritizing Image Loading
-<script>
-  // Critical images
-  const criticalImages = document.querySelectorAll('.critical-image');
-
-  // Lazy load other images
-  const lazyImages = document.querySelectorAll('img[data-src]');
+const criticalImages = document.querySelectorAll('.critical-image');
+const lazyImages = document.querySelectorAll('img[data-src]');
 
-  // Load critical images immediately
-  criticalImages.forEach(image => {
+// Load critical images immediately
+criticalImages.forEach(image => {
     image.src = image.dataset.src;
-  });
+});
 
-  // Use Intersection Observer for lazy loading
-  const observer = new IntersectionObserver(entries => {
+// Use Intersection Observer for lazy loading
+const observer = new IntersectionObserver(entries => {
     entries.forEach(entry => {
-      if (entry.isIntersecting) {
-        entry.target.src = entry.target.dataset.src;
-        observer.unobserve(entry.target);
-      }
+        if (entry.isIntersecting) {
+            entry.target.src = entry.target.dataset.src;
+            observer.unobserve(entry.target);
+        }
     });
-  });
-
-  lazyImages.forEach(image => observer.observe(image));
-</script>
+});
 
+lazyImages.forEach(image => observer.observe(image));
diff --git a/collaborative_filtering.py b/collaborative_filtering.py
@@ -1,12 +1,20 @@
+import pandas as pd
 from surprise import Dataset, Reader, SVD
 from surprise.model_selection import train_test_split, accuracy
 
 # Load data from database
 data = cursor.execute('SELECT user_id, item_id, interaction_type FROM user_interactions').fetchall()
 
+# Convert to DataFrame and ensure interaction_type is treated as a rating
+df = pd.DataFrame(data, columns=['user_id', 'item_id', 'interaction_type'])
+
+# Check if interaction_type is within the expected rating scale
+if df['interaction_type'].max() > 5 or df['interaction_type'].min() < 1:
+    raise ValueError("Interaction type values must be within the range 1 to 5.")
+
 # Convert to Surprise dataset
 reader = Reader(rating_scale=(1, 5))
-dataset = Dataset.load_from_df(pd.DataFrame(data, columns=['user_id', 'item_id', 'interaction_type']), reader)
+dataset = Dataset.load_from_df(df[['user_id', 'item_id', 'interaction_type']], reader)
 
 # Train-test split
 trainset, testset = train_test_split(dataset, test_size=0.25)
@@ -17,4 +25,7 @@
 
 # Test model
 predictions = algo.test(testset)
-accuracy.rmse(predictions)
+
+# Calculate and print RMSE
+rmse = accuracy.rmse(predictions)
+print(f'Root Mean Squared Error: {rmse}')
diff --git a/content_based_filtering.py b/content_based_filtering.py
@@ -17,12 +17,22 @@
 
 # Function to get recommendations
 def get_recommendations(item_id, cosine_sim=cosine_sim):
-    idx = next(index for (index, d) in enumerate(items) if d["id"] == item_id)
+    # Find the index of the item that matches the given id
+    idx = next((index for (index, d) in enumerate(items) if d["id"] == item_id), None)
+    if idx is None:
+        return []  # Return empty if item_id is not found
+
+    # Get similarity scores for the selected item
     sim_scores = list(enumerate(cosine_sim[idx]))
+    # Sort the items based on the similarity scores
     sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
+    # Get the scores of the top 3 similar items, excluding the first one (itself)
     sim_scores = sim_scores[1:4]
+
+    # Get the item indices
     item_indices = [i[0] for i in sim_scores]
     return [items[i]['id'] for i in item_indices]
 
 # Example usage
-print(get_recommendations(101))
+recommended_ids = get_recommendations(101)
+print("Recommended item IDs:", recommended_ids)
diff --git a/data_collection.py b/data_collection.py
@@ -5,26 +5,32 @@
 conn = sqlite3.connect('user_data.db')
 cursor = conn.cursor()
 
-# Create table
+# Create table if it doesn't exist
 cursor.execute('''
 CREATE TABLE IF NOT EXISTS user_interactions (
     user_id INTEGER,
     item_id INTEGER,
     interaction_type TEXT,
-    timestamp DATETIME
+    timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
 )
 ''')
 
 # Function to log interaction
 def log_interaction(user_id, item_id, interaction_type):
-    timestamp = datetime.now()
-    cursor.execute('''
-    INSERT INTO user_interactions (user_id, item_id, interaction_type, timestamp)
-    VALUES (?, ?, ?, ?)
-    ''', (user_id, item_id, interaction_type, timestamp))
-    conn.commit()
+    timestamp = datetime.now()  # Get the current timestamp
+    try:
+        cursor.execute('''
+        INSERT INTO user_interactions (user_id, item_id, interaction_type, timestamp)
+        VALUES (?, ?, ?, ?)
+        ''', (user_id, item_id, interaction_type, timestamp))
+        conn.commit()  # Commit changes to the database
+    except sqlite3.Error as e:
+        print(f"An error occurred: {e}")
 
 # Example usage
 log_interaction(1, 101, 'click')
 log_interaction(1, 102, 'view')
 log_interaction(2, 101, 'purchase')
+
+# Close the connection
+conn.close()