✨[FEATURE]

[nishant4500]

🌟 Feature Overview
Enhance the Python-based assistant with natural language processing (NLP) capabilities and expanded functionalities, including:

Enhanced command recognition through NLP.
Added support for additional APIs (e.g., news, stock prices).
Improved error handling and conversational responses.
🤔 Why this feature?
Currently, the assistant only understands a limited set of commands and lacks the ability to handle varied user inputs effectively. By incorporating NLP, we can expand its capability to recognize a broader range of commands and make it more conversational. Additionally, adding more data sources (e.g., news, stock, and quote APIs) would make the assistant more useful, bringing multiple sources of information together in one tool.

These enhancements would:

Improve user experience by making the assistant more conversational.
Increase the assistant’s versatility by allowing access to diverse information sources.
Ensure smooth operation with better error handling and a more robust command interface.
📋 Expected Behavior
NLP Integration: The assistant should recognize and respond accurately to a wider variety of commands. For example, rather than requiring a user to input a specific keyword like "Wikipedia," it should understand related phrases, such as "tell me about," "I want to know more about," etc.
Additional APIs: Enable the assistant to fetch information from various sources. New commands could include:
"What's the latest news?" for fetching news from a news API.
"Tell me the stock price of [company]" for getting stock information via a finance API.
"Give me a quote" to receive a daily motivational quote.
Error Handling: Improve robustness by adding checks for valid responses from APIs and handling common errors gracefully (e.g., providing feedback if a Wikipedia entry is not found).
Improved Responses: The assistant should have a more conversational tone, with varied phrases and friendly prompts to encourage user interaction.
🖼️ Example/Mockups
NLP Recognition:

User: "Can you give me info about Python programming?"
Assistant: "Sure, here's what I found on Wikipedia about Python programming..."
Stock Price Example:

User: "What's the current stock price of Apple?"
Assistant: "The current stock price of Apple Inc. is $150.00."
News Feature:

User: "What's happening in the news today?"
Assistant: "Here are the top headlines for today..."
📝 Additional Details
Potential NLP Tools: spaCy or nltk can be used for basic NLP capabilities. For more advanced understanding, integrating a conversational model like GPT-3 (or OpenAI’s APIs) could be considered.
API Integrations:
News API: Use a news API like NewsAPI.org.
Stock API: Use a free finance API like Alpha Vantage.
Quotes API: Use an API like Quotable to fetch quotes.
Error Handling: Implement try-except blocks around API calls and add fallback responses like "I'm sorry, I couldn't find that information."