Claude Powered Study Assistant

by g-hano

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Claude-Powered-Study-Assistant

What is Claude-Powered-Study-Assistant

The Claude-Powered-Study-Assistant is an advanced Python-based AI tool developed by g-hano, designed to enhance the study and research experience. It leverages the capabilities of a Large Language Model (LLM) to offer a suite of tools that assist with a variety of academic and technical tasks, including research, coding, note-taking, and more. Whether you're a student, researcher, or professional, this assistant is tailored to meet your needs by providing an integrated platform for accessing information and executing tasks efficiently.

How to Use Claude-Powered-Study-Assistant

To start using the Claude-Powered-Study-Assistant, you need to import the Tool class from Tool.py in your Python environment. Then, create instances of the available tools by providing the necessary parameters. Once the tools are instantiated, you can utilize their functions by passing the required inputs.

Here's a basic example:

from Tool import Tool

# Create tool instances
wiki = Tool('Wikipedia Search', 'Searches Wikipedia', {'query': 'your query'})
search = Tool('DuckDuckGo Search', 'Searches the internet', {'query': 'your query'})
# Add more tools as needed...

TOOLS = [wiki, search]

# Use the tools
names = [tool.name for tool in TOOLS]
descriptions = [tool.description for tool in TOOLS]
parameters = [tool.parameters for tool in TOOLS]
# Construct and utilize the tools as per your requirements

For instance, to read and summarize a PDF file or search for videos on YouTube, simply pass the appropriate prompt to the tool.

Key Features of Claude-Powered-Study-Assistant

Wikipedia Search: This tool enables users to search for information on Wikipedia based on their inquiries, making it ideal for academic and scientific research.
DuckDuckGo Search: Utilize this tool to perform general internet searches using DuckDuckGo's API, ensuring privacy and broad access to information.
Note Saving: Easily save your notes with this tool, which stores them in a notes.txt file for easy retrieval and organization.
Code Executer: Test and execute code snippets with the Code Executer tool, which also allows you to compare the results with expected outputs.
Calculator: A basic arithmetic calculator is included, supporting operations like addition, subtraction, multiplication, and division to assist with quick calculations.
YouTube Search: Search YouTube for videos related to your interests or research topics, and receive a list of the top five relevant videos.
File Reading: This tool extracts and reads text from various file formats such as PDF, TXT, and DOCX, making it easier to access and summarize document content.

The Claude-Powered-Study-Assistant is a versatile and robust tool, integrating multiple functionalities into a single platform to streamline your study and research activities. Its intuitive design and powerful capabilities make it a must-have for anyone looking to leverage AI in their academic or professional work.

This is a Python-based study assistant powered by an LLM (Large Language Model). It provides various tools to assist with different tasks related to research, coding, note-taking, and more. Below is a description of each tool along with its capabilities and usage instructions. chart

Tools Available

Wikipedia Search

Description: Searches Wikipedia based on user input. Useful for scientific or specific inquiries.

DuckDuckGo Search

Description: Utilizes DuckDuckGo's Search API to find information on the internet. Useful for general inquiries.

Note Saving

Description: Saves notes to 'notes.txt' for further user access.

Code Executer

Description: Executes the provided code string and compares the result to the expected output.

Calculator

Description: Basic arithmetic calculator supporting addition, subtraction, multiplication, and division.

YouTube Search

Description: Searches YouTube based on the given input and returns the most related 5 videos.

File Reading

Description: Extracts text from various file formats (PDF, TXT, DOCX).

Usage

Import the Tool class from Tool.py.
Create instances of each tool with appropriate parameters.
Use the tools as needed by passing required parameters to their respective functions. Example:

from Tool import Tool
# Create tool instances
wiki = Tool(tool1_name, tool1_description, tool1_parameters)
search = Tool(tool2_name, tool2_description, tool2_parameters)
# Create more instances for other tools...
TOOLS = [wiki, search, ..]
# Use the tools
 names = [tool.name for tool in TOOLS]
 descriptions = [tool.description for tool in TOOLS]
 parameters = [tool.parameters for tool in TOOLS]
 all_tools = construct_format_tool_for_claude_prompt(names, descriptions, parameters)
 system_prompt = construct_tool_use_system_prompt([all_tools]))
function_calling_message = client.messages.create(
 model=MODEL_NAME,
 max_tokens=1024,
 messages=[message],
 system=system_prompt,
 stop_sequences=["\nHuman:", "\nAssistant", "</function_calls>"]
 ).content[0].text + '</function_calls>'
print(function_calling_message)

Example prompts and outputs:

Prompt = "can you read 'Cihan Yalçın.pdf' and summarize it for me."

pdf

Prompt = "search YouTube for Machine Learning"

pdf

How to Use

To use the Claude-Powered-Study-Assistant, follow these steps:

Visit https://github.com/g-hano/Claude-Powered-Study-Assistanthttps://github.com/g-hano...
Follow the setup instructions to create an account (if required)
Connect the MCP server to your Claude Desktop application
Start using Claude-Powered-Study-Assistant capabilities within your Claude conversations