Merge pull request #227 from djv554/main

Added a sustainability tracker

sustainabilty_tracker.py

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+import speech_recognition as sr
+import pyttsx3
+import json
+from datetime import datetime, timedelta
+import matplotlib.pyplot as plt
+import random
+
+# Initialize the TTS engine
+engine = pyttsx3.init()
+engine.setProperty('rate', 150)  # Slower speaking rate
+
+# Function to speak text
+def speak(text):
+    engine.say(text)
+    engine.runAndWait()
+
+# Persistent data storage
+def save_data():
+    with open("sustainability_data.json", "w") as file:
+        json.dump(sustainability_data, file)
+
+def load_data():
+    global sustainability_data
+    try:
+        with open("sustainability_data.json", "r") as file:
+            sustainability_data = json.load(file)
+    except FileNotFoundError:
+        print("No previous data found.")
+        sustainability_data = {}
+
+# Load data at the start of the program
+load_data()
+
+# Example user-specific sustainability data structure
+def initialize_user_data(user):
+    if user not in sustainability_data:
+        sustainability_data[user] = {
+            "transportation": [],
+            "energy_usage": [],
+            "water_usage": [],
+            "waste": []
+        }
+
+# Function to capture voice input
+def voice_to_text():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        print("Listening for your command...")
+        try:
+            audio = recognizer.listen(source, timeout=10)  # Timeout after 10 seconds
+            command = recognizer.recognize_google(audio)
+            print(f"Captured voice command: {command}")
+            return command
+        except sr.UnknownValueError:
+            speak("I didn't catch that. Could you please repeat?")
+            return None
+        except sr.RequestError:
+            speak("The speech recognition service is unavailable at the moment.")
+            return None
+
+# Function to log sustainability data with timestamp
+def log_sustainability_data(user, category, value):
+    timestamp = datetime.now().isoformat()
+    sustainability_data[user][category].append({"date": timestamp, "value": value})
+    save_data()
+
+# Function to provide sustainability recommendations
+def provide_recommendations(user):
+    user_data = sustainability_data[user]
+
+    if sum([item["value"] for item in user_data["transportation"]]) > 100:
+        speak("You have logged over 100 kilometers in transportation. Consider using public transport or carpooling to reduce your carbon footprint.")
+
+    if sum([item["value"] for item in user_data["energy_usage"]]) > 500:
+        speak("Your energy consumption seems high. Try turning off appliances when not in use to save energy.")
+
+    if sum([item["value"] for item in user_data["water_usage"]]) > 300:
+        speak("You have logged high water usage. Consider taking shorter showers or fixing leaks to save water.")
+
+    if sum([item["value"] for item in user_data["waste"]]) > 50:
+        speak("You have logged a lot of waste. Consider recycling or composting to reduce your waste footprint.")
+
+# Function to calculate carbon footprint for transportation (mocked API integration)
+def get_carbon_footprint_km(km):
+    # Mock API response for the carbon footprint
+    carbon_per_km = 0.21  # Average kg CO2 per km for a car
+    return round(km * carbon_per_km, 2)
+
+# Function to plot sustainability data
+def plot_sustainability_data(user):
+    categories = ['transportation', 'energy_usage', 'water_usage', 'waste']
+    values = [sum([item["value"] for item in sustainability_data[user][cat]]) for cat in categories]
+
+    plt.bar(categories, values)
+    plt.ylabel('Units')
+    plt.title(f'{user.capitalize()}\'s Sustainability Tracker')
+    plt.show()
+
+# Function to provide historical data summary
+def get_weekly_summary(user):
+    categories = ['transportation', 'energy_usage', 'water_usage', 'waste']
+    one_week_ago = datetime.now() - timedelta(days=7)
+    weekly_summary = {cat: 0 for cat in categories}
+
+    for category in categories:
+        for entry in sustainability_data[user][category]:
+            entry_date = datetime.fromisoformat(entry['date'])
+            if entry_date > one_week_ago:
+                weekly_summary[category] += entry["value"]
+
+    return weekly_summary
+
+# Function to confirm user's entry
+def confirm_entry(category, value):
+    speak(f"Did you mean to log {value} units to {category}? Please say yes or no.")
+    confirmation = voice_to_text()
+    if confirmation and "yes" in confirmation.lower():
+        return True
+    return False
+
+# Main function for the voice assistant
+if __name__ == "__main__":
+    user = "default_user"  # Placeholder for user identification
+    initialize_user_data(user)  # Initialize user data if not present
+    speak("Hello! I'm your sustainability assistant. How can I help you today?")
+
+    while True:
+        command = voice_to_text()
+
+        if command is None:
+            continue  # Retry if the command was not understood
+
+        print(f"Command received: {command}")
+
+        # Exit the assistant if the user says "exit" or "stop"
+        if "exit" in command.lower() or "stop" in command.lower():
+            speak("Goodbye! Stay sustainable!")
+            break
+
+        # Example: Log transportation
+        elif "log" in command.lower() and "transportation" in command.lower():
+            try:
+                # Extract the number of kilometers from the command
+                km = int(command.split()[-1])  # Assuming the last word is a number
+                if confirm_entry("transportation", km):
+                    carbon_footprint = get_carbon_footprint_km(km)
+                    log_sustainability_data(user, "transportation", km)
+                    speak(f"Logged {km} kilometers. This corresponds to a carbon footprint of {carbon_footprint} kilograms of CO2.")
+            except ValueError:
+                speak("I couldn't understand the number of kilometers. Please say it again.")
+
+        # Example: Show weekly summary
+        elif "weekly summary" in command.lower():
+            weekly_data = get_weekly_summary(user)
+            speak(f"Here is your weekly summary: Transportation {weekly_data['transportation']} kilometers, Energy usage {weekly_data['energy_usage']} units, Water usage {weekly_data['water_usage']} liters, Waste {weekly_data['waste']} kilograms.")
+
+        # Example: Show data visualization
+        elif "show graph" in command.lower():
+            plot_sustainability_data(user)
+
+        # Provide recommendations
+        elif "recommend" in command.lower():
+            provide_recommendations(user)
+
+        else:
+            speak("I didn't catch that. Please say a valid command, like 'log transportation' or 'show graph'.")