01
Unit Search App
The Unit Search App is a powerful desktop application designed to quickly and efficiently search for unit numbers across multiple Excel and CSV files. Whether you're working with large datasets, inventory records, or operational logs, this tool makes data retrieval seamless by allowing users to search for specific units, filter by date range, and detect duplicates across multiple sheets in the same file.
02
AI-Powered Resume Screener App
This desktop application simplifies resume screening by comparing a candidate’s resume with a job description and generating actionable feedback. It uses a blend of traditional NLP and OpenAI's GPT-3.5 to highlight matched and missing skills, calculate a match score, and suggest clear improvements. The app supports PDF and DOCX formats, features a clean Tkinter interface with Times New Roman styling, and presents results visually through a progress bar. It addresses the challenge of tailoring resumes for each role and has already helped me—and others I’ve shared it with—create stronger, more targeted applications with ease.
03
HTML Table Code to Excel Sheet
I built a desktop application in Python that converts raw HTML table code into a clean, structured Excel file. The app takes in pasted HTML code, parses the table elements, and automatically generates rows and columns in an .xlsx format that can be downloaded directly to the user’s machine.
The app leverages pandas for data handling and Tkinter for a simple, user-friendly interface. Users can paste their HTML code into the app, click a button, and instantly receive a formatted Excel file without needing to manually clean up the data. I also packaged it as a one-click executable, making it easy to run on any desktop without requiring technical setup.
