Email spam Detection

Domains/AI-ML/MiniProjects/email_spam_filter/main.py

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+# Simple Spam Classifier based on Word Frequency (Easy ML/Statistics)
+import numpy as np 
+import csv 
+
+# --- 1. DATA LOADING FUNCTION ---
+
+def load_data_from_csv(filename="sample.csv"):
+    """
+    Reads text and label data from a specified CSV file.
+    Expects two columns: Text (str) and Label (int 0 or 1).
+    """
+    data = []
+    try:
+        with open(filename, mode='r', encoding='utf-8') as file:
+            reader = csv.reader(file)
+            next(reader)  # Skip the header row (e.g., "Text,Label")
+            for row in reader:
+                if len(row) == 2:
+                    text = row[0].strip()
+                    # Convert label to integer
+                    try:
+                        label = int(row[1].strip())
+                        data.append((text, label))
+                    except ValueError:
+                        print(f"[Warning] Skipping row with non-integer label: {row}")
+    except FileNotFoundError:
+        print(f"[CRITICAL ERROR] The file '{filename}' was not found.")
+        print("Please ensure the CSV file is in the same directory as the script.")
+        return []
+    except Exception as e:
+        print(f"[ERROR] An error occurred while reading the CSV: {e}")
+        return []
+
+    return data
+
+# --- 2. TRAIN THE CLASSIFIER (Counting) ---
+
+def train_classifier(data):
+    """
+    Counts the frequency of words in spam and ham messages.
+    """
+    spam_word_counts = {}
+    ham_word_counts = {}
+    total_spam_messages = 0
+    total_ham_messages = 0
+
+    print("--- Training Model (Counting Words) ---")
+
+    for text, label in data:
+        # Convert text to lowercase and split into words
+        words = text.lower().split()
+
+        if label == 1:
+            total_spam_messages += 1
+            counts = spam_word_counts
+        else:
+            total_ham_messages += 1
+            counts = ham_word_counts
+
+        for word in words:
+            # Use a basic dictionary to store word frequency
+            counts[word] = counts.get(word, 0) + 1
+
+    print(f"Total Spam Messages: {total_spam_messages}")
+    print(f"Total Ham Messages: {total_ham_messages}")
+    print("[Training Complete]")
+
+    return spam_word_counts, ham_word_counts, total_spam_messages, total_ham_messages
+
+# --- 3. PREDICTION LOGIC ---
+
+def predict_spam_score(text, spam_counts, ham_counts, total_spam, total_ham):
+    """
+    Scores a new message based on how many "spam words" it contains.
+    The score is the ratio of spam-words found.
+    """
+    words = text.lower().split()
+    spam_score = 0
+
+    print(f"\nAnalyzing Text: '{text}'")
+
+    for word in words:
+        # Calculate the simple probability of this word being in spam vs ham
+
+        # Count how many times this word appeared in spam and ham training data
+        spam_hits = spam_counts.get(word, 0)
+        ham_hits = ham_counts.get(word, 0)
+
+        # Simple probability: P(word|Spam)
+        # Add '1' (Laplace smoothing) to avoid dividing by zero if a word wasn't seen
+        p_word_given_spam = (spam_hits + 1) / (total_spam + 2) 
+        p_word_given_ham = (ham_hits + 1) / (total_ham + 2)
+
+        # Calculate the ratio: How much more likely is this word to be spam?
+        if p_word_given_spam > p_word_given_ham:
+            ratio = p_word_given_spam / p_word_given_ham
+            # Log the ratio to prevent numbers from exploding, and add to the score
+            spam_score += np.log(ratio) 
+            print(f"  - '{word}': Spam Likely (Score added: {np.log(ratio):.2f})")
+        else:
+            print(f"  - '{word}': Ham Likely")
+
+    return spam_score
+
+# --- MAIN EXECUTION ---
+if __name__ == "__main__":
+    try:
+        # NumPy is needed for the log function, which keeps numbers manageable
+        import numpy as np 
+
+        # 1. Load Data from CSV
+        DATA = load_data_from_csv()
+
+        if not DATA:
+            print("\n[Execution Halted] Cannot proceed without training data.")
+        else:
+            # 2. Train the Classifier
+            s_counts, h_counts, t_spam, t_ham = train_classifier(DATA)
+
+            # 3. Set the threshold (a score above this is classified as SPAM)
+            SPAM_THRESHOLD = 1.0 
+
+            # 4. Interactive Testing
+            print("\n--- Interactive Spam Tester ---")
+            print(f"Prediction Threshold: Score > {SPAM_THRESHOLD} is SPAM")
+            print("Enter 'quit' to exit.")
+
+            while True:
+                test_text = input("\nEnter email subject/body: ")
+                if test_text.lower() == 'quit':
+                    break
+
+                final_score = predict_spam_score(test_text, s_counts, h_counts, t_spam, t_ham)
+
+                print(f"\nFINAL SPAM SCORE: {final_score:.3f}")
+
+                if final_score > SPAM_THRESHOLD:
+                    print("CLASSIFICATION: 🚨 SPAM")
+                else:
+                    print("CLASSIFICATION: ✅ HAM")
+                print("-" * 30)
+
+    except ImportError:
+        print("\n[CRITICAL ERROR] NumPy is required for this script (for log function).")
+        print("Please ensure your Python environment has NumPy installed.")
+    except Exception as e:
+        print(f"[ERROR] An unexpected error occurred: {e}")

Domains/AI-ML/MiniProjects/email_spam_filter/sample.csv

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+Text,Label
+Win a free gift card now,1
+Meeting scheduled for 2 PM,0
+URGENT: Your account verification,1
+Please review the project report,0
+Claim your guaranteed prize money,1
+Lunch plans confirmed tomorrow,0
+Special offer, click now,1
+Remember to submit your hours,0
+Click to renew your subscription immediately,1
+Congratulations you've won a $1000 voucher,1
+Here is the link to the quarterly budget,0
+Earn millions working from home today,1
+Your package delivery failed, update address,1
+Quick question about your vacation dates,0
+Did you send the attachment I asked for,0

Domains/Frontend/MiniProjects/expense_tracker/README.md

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+**Contributor:** alisha1510
+
+# Expense Tracker
+
+A dynamic web application to help users track their income, expenses, and balance in real-time. Features interactive charts, a clean interface, and a user-friendly way to manage personal finances.
+
+## 🌟 Features
+
+* **Real-Time Tracking** – Add income and expenses instantly, see updates in your balance.
+* **Transaction History** – View, sort, and delete past transactions easily.
+
+
+## 🎯 How to Use
+
+1.Open the web application in a browser.
+2.Add a transaction using the Add Transaction form (income or expense).
+3.Enter description, amount, and type.
+4.Submit to update your balance and charts instantly.
+5.View your transaction history below and delete items if needed.
+
+
+## ⚠️ Important Disclaimer
+
+**For personal finance tracking only!** 
+
+This project is intended to help manage budgets and track expenses. Please do not use this app for financial advice or professional accounting purposes.
+
+
+## 🤝 Contributing
+
+Contributions, issues, and feature requests are welcome! Feel free to check the issues page.
+
+## 👤 Author
+
+**Alisha Sheikh**
+- GitHub: [@alisha1510](https://github.com/alisha1510)
+
+
+---
+
+
+Made with 💜 for Hacktoberfest and the Open Source Community

Domains/Frontend/MiniProjects/expense_tracker/index.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Dynamic Expense Tracker</title>
+    <!-- Load Tailwind CSS -->
+    <script src="https://cdn.tailwindcss.com"></script>
+    <!-- Link to external CSS file (must be in the same directory) -->
+    <link rel="stylesheet" href="style.css">
+</head>
+<body>
+
+    <div id="app" class="p-4 md:p-8 lg:p-12 max-w-4xl mx-auto">
+        <header class="text-center mb-8">
+            <!-- Dark mode text color -->
+            <h1 class="text-4xl md:text-5xl font-extrabold text-blue-300 tracking-tight">
+                BudgetFlow Tracker
+            </h1>
+            <!-- Dark mode text color -->
+            <p class="text-gray-400 mt-2">Manage your money in real-time.</p>
+            <p class="text-xs mt-1 text-gray-500" id="user-info">Authenticating...</p>
+        </header>
+
+        <!-- Balance Summary Section -->
+        <section class="grid grid-cols-3 gap-4 mb-8">
+            <div class="p-4 rounded-xl main-card text-center transition-transform hover:scale-[1.01] duration-300">
+                <!-- Dark mode text color -->
+                <h2 class="text-lg font-semibold text-gray-400">Balance</h2>
+                <p id="balance" class="text-3xl font-bold text-blue-400 mt-1">--</p>
+            </div>
+            <div class="p-4 rounded-xl main-card text-center transition-transform hover:scale-[1.01] duration-300">
+                <!-- Dark mode text color -->
+                <h2 class="text-lg font-semibold text-gray-400">Income</h2>
+                <p id="income" class="text-3xl font-bold text-emerald-400 mt-1">--</p>
+            </div>
+            <div class="p-4 rounded-xl main-card text-center transition-transform hover:scale-[1.01] duration-300">
+                <!-- Dark mode text color -->
+                <h2 class="text-lg font-semibold text-gray-400">Expenses</h2>
+                <p id="expense" class="text-3xl font-bold text-rose-400 mt-1">--</p>
+            </div>
+        </section>
+
+        <!-- Add Transaction Form -->
+        <section class="main-card p-6 rounded-xl mb-8">
+            <!-- Dark mode text color -->
+            <h2 class="text-2xl font-bold mb-4 text-blue-300">Add New Transaction</h2>
+            <form id="transaction-form" class="space-y-4">
+                <div>
+                    <!-- Dark mode label text color -->
+                    <label for="description" class="block text-sm font-medium text-gray-400 mb-1">Description</label>
+                    <!-- Dark theme input styling -->
+                    <input type="text" id="description" placeholder="E.g., Salary, Coffee, Rent" required
+                           class="w-full p-3 rounded-lg bg-gray-700 border border-gray-600 focus:ring-2 focus:ring-blue-500 focus:border-blue-500 text-white transition duration-200">
+                </div>
+                <div class="grid grid-cols-2 gap-4">
+                    <div>
+                        <!-- Dark mode label text color -->
+                        <label for="amount" class="block text-sm font-medium text-gray-400 mb-1">Amount ($)</label>
+                        <!-- Dark theme input styling -->
+                        <input type="number" id="amount" placeholder="50.00" step="0.01" required
+                               class="w-full p-3 rounded-lg bg-gray-700 border border-gray-600 focus:ring-2 focus:ring-blue-500 focus:border-blue-500 text-white transition duration-200">
+                    </div>
+                    <div>
+                        <!-- Dark mode label text color -->
+                        <label for="type" class="block text-sm font-medium text-gray-400 mb-1">Type</label>
+                        <!-- Dark theme select styling -->
+                        <select id="type" required
+                                class="w-full p-3 rounded-lg bg-gray-700 border border-gray-600 focus:ring-2 focus:ring-blue-500 focus:border-blue-500 text-white transition duration-200 appearance-none cursor-pointer">
+                            <option value="income" class="bg-gray-800">Income</option>
+                            <option value="expense" class="bg-gray-800">Expense</option>
+                        </select>
+                    </div>
+                </div>
+                <!-- Button colors remain the same for accent -->
+                <button type="submit" id="submit-btn"
+                        class="animated-btn w-full py-3 mt-4 rounded-lg font-bold text-lg text-white bg-emerald-600 hover:bg-emerald-500 focus:outline-none focus:ring-4 focus:ring-emerald-300/50 transition duration-200 shadow-lg shadow-emerald-600/30">
+                    Add Transaction
+                </button>
+            </form>
+            <!-- Dark mode error text color -->
+            <p id="error-message" class="text-rose-400 mt-2 text-center hidden"></p>
+        </section>
+
+        <!-- Transaction History Section -->
+        <section class="main-card p-6 rounded-xl">
+            <!-- Dark mode text color -->
+            <h2 class="text-2xl font-bold mb-4 text-blue-300">Transaction History</h2>
+            <div id="transactions-list" class="space-y-3">
+                <!-- Transactions will be inserted here by JavaScript -->
+                <!-- Dark mode loading text color -->
+                <p id="loading-message" class="text-gray-400 text-center py-4">Loading transactions...</p>
+            </div>
+        </section>
+    </div>
+
+    <!-- Link to external JavaScript file (must be in the same directory) -->
+    <script src="script.js"></script>
+</body>
+</html>