diff --git a/Calculatenumbers.py b/Calculatenumbers.py
new file mode 100644
index 0000000..1219a75
--- /dev/null
+++ b/Calculatenumbers.py
@@ -0,0 +1,48 @@
+import wolframalpha
+import pyttsx3
+import speech_recognition
+
+# Initialize the text-to-speech engine
+engine = pyttsx3.init("sapi5")
+voices = engine.getProperty("voices")
+for voice in voices:
+    if "zira" in voice.name.lower():
+        engine.setProperty("voice", voice.id)
+        break
+engine.setProperty("rate", 170)
+
+def speak(audio):
+    engine.say(audio)
+    engine.runAndWait()
+
+def WolfRamAlpha(query):
+    apikey = "HEVXUJ-T9P3G7YK76"
+    requester = wolframalpha.Client(apikey)
+    response = requester.query(query)
+    try:
+        answer = next(response.results).text
+        # print(answer)
+        speak(answer)
+        return answer  
+    except StopIteration:
+        speak("I'm sorry, I don't have an answer to that question")
+        return None
+
+def Calc(query):
+    Term = str(query)
+    Term = Term.replace("plus", "+")
+    Term = Term.replace("minus", "-")
+    Term = Term.replace("multiply", "*")
+    Term = Term.replace("divide", "/")
+    Term = Term.replace("Daisy", "")
+
+    Final = str(Term)
+    try:
+        result = WolfRamAlpha(Final)
+        if result:
+            print(result)
+            # speak(result)
+    except Exception as e:
+        print(f"Error: {e}")
+        speak("I'm sorry, I don't have an answer to that question")
+
diff --git a/__pycache__/Calculatenumbers.cpython-312.pyc b/__pycache__/Calculatenumbers.cpython-312.pyc
new file mode 100644
index 0000000..1d7a7ca
Binary files /dev/null and b/__pycache__/Calculatenumbers.cpython-312.pyc differ
diff --git a/__pycache__/newsread.cpython-312.pyc b/__pycache__/newsread.cpython-312.pyc
new file mode 100644
index 0000000..94fa450
Binary files /dev/null and b/__pycache__/newsread.cpython-312.pyc differ
diff --git a/daisy_main.py b/daisy_main.py
index 43ba7b5..8ae8057 100644
--- a/daisy_main.py
+++ b/daisy_main.py
@@ -9,6 +9,8 @@
 import keyboard
 import random
 import webbrowser
+import wolframalpha
+
 
 engine = pyttsx3.init("sapi5")
 voices = engine.getProperty("voices")
@@ -147,6 +149,16 @@ def convert_to_datetime(alarm_time_str):
         elif "wikipedia" in query:
             from SearchNow import searchWikipedia
             searchWikipedia(query)
+        elif "news" in query:
+            from newsread import latest_news
+            latest_news()
+        elif "calculate" in query:
+            from Calculatenumbers import WolfRamAlpha
+            from Calculatenumbers import Calc
+            query = query.replace("calculate", "")
+            query = query.replace("Daisy", "")
+            Calc(query)
+            
         elif "temperature" in query:
             search = "temperature here is "
             url=f"https://www.google.com/search?q={search}"
diff --git a/newsread.py b/newsread.py
new file mode 100644
index 0000000..606b1a1
--- /dev/null
+++ b/newsread.py
@@ -0,0 +1,55 @@
+import requests
+import json
+import pyttsx3
+
+engine = pyttsx3.init("sapi5")
+voices = engine.getProperty("voices")
+for voice in voices:
+    if "zira" in voice.name.lower():
+        engine.setProperty("voice", voice.id)
+        break
+engine.setProperty("rate", 170)
+def speak(text):
+    engine.say(text)
+    engine.runAndWait()
+
+def latest_news():
+    apidict = {
+        "business": "https://newsapi.org/v2/top-headlines?country=in&category=business&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "entertainment": "https://newsapi.org/v2/top-headlines?country=in&category=entertainment&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "health": "https://newsapi.org/v2/top-headlines?country=in&category=health&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "science": "https://newsapi.org/v2/top-headlines?country=in&category=science&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "sports": "https://newsapi.org/v2/top-headlines?country=in&category=sports&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "technology": "https://newsapi.org/v2/top-headlines?country=in&category=technology&apiKey=3529f3b21a4c43c796e555937e7802f8",
+        "general": "https://newsapi.org/v2/top-headlines?country=in&category=general&apiKey=3529f3b21a4c43c796e555937e7802f8"
+    }
+
+    speak("Which news category would you like to hear? [business, entertainment, health, science, sports, technology, general]")
+    field = input("Which news category would you like to hear? [business, entertainment, health, science, sports, technology, general] : ").lower()
+    
+    url = apidict.get(field)
+    if not url:
+        speak("Invalid category")
+        return
+    
+    news = requests.get(url).text
+    news_dict = json.loads(news)
+    speak("Here are some top news headlines")
+    arts = news_dict["articles"]
+    for article in arts:
+        title = article["title"]
+        speak(title)
+        print(title)
+        news_url = article["url"]
+        print(f"For more info visit: {news_url}")
+
+        a = input("Would you like to read more news? [yes/no] : ")
+        if a.lower() == "no":
+            break
+        else:
+            continue
+        speak("That's all for now")
+
+        
+
+