Extract contact details from various file formats on desktop and perform reasoning analysis on the collected relationship data.

Convert the content of 10 specified files to uppercase format and calculate the total word count across all processed files.

Perform thorough analysis of complex folder hierarchy to generate a detailed structural summary report with comprehensive file statistics.

Extract and analyze individual reviewer comments on legal clauses across multiple document versions to understand personal perspectives.

Trace the evolution of clause resolutions across document versions to identify who first proposed each final accepted solution.

Analyze multiple versions of legal documents to track clause discussion frequency and generate a comprehensive dispute summary report.

Analyze personal expense data extracted from desktop files to create a detailed budget summary report for financial review.

Classify and organize desktop files into appropriate categories following specified classification rules and naming convention standards.

Generate a complete requirements.txt file containing all necessary Python dependencies for running the VoteNet codebase successfully.

Map ScanNet object categories to their SUN RGB-D equivalents and calculate detailed object counts for each mapped category.

Identify and fix bugs in the VoteNet backbone module by examining the codebase and implementing necessary corrections.

Search through academic papers to identify and locate mathematics-related content that satisfies specific mathematical criteria and research requirements.

Structure and organize older academic papers from 2023 and earlier into a year-based hierarchical directory system with proper documentation.

Analyze academic papers to identify and organize by author, creating separate folders for frequent authors (≥4 papers) and prolific 2025 authors (≥3 papers).

Reorganize scattered desktop files into a structured project directory system based on content type, purpose, and file format analysis.

Search and analyze desktop music files to generate a scored recommendation list using specified computation rules and criteria.

Extract temporal event information from various desktop files and compile a comprehensive chronological timeline of activities and milestones.

Select qualified students with S/A recommendation grades and TOEFL scores ≥100 for English media operations recruitment opportunities.

Identify students with identical names from a 150-student database and generate a formatted namesake grouping report file.

Process student numerical scores to calculate letter grades using A-F scale and produce comprehensive grade distribution analysis reports.

Split a large text file into multiple equal-length segments for easier processing, distribution, and parallel handling of content.