Automate Student Report Analysis with Python! | PDF to Excel in Minutes
0Automate Student Report Analysis with Python! | PDF to Excel in Minutes
🚀 Transform Student Data Analysis with Python! 📚
Struggling to analyze student records from PDF files? Our Python PDF Analysis Tool makes it fast, accurate, and effortless! Extract grades, visualize performance, and export data to Excel—no manual work needed!
🔹 Key Features:
✅ Easy-to-use GUI (built with Tkinter)
✅ Extract & analyze student data from PDFs (PyPDF2)
✅ Visualize insights with bar charts (Matplotlib) – GPA trends, pass/fail rates, gender performance
✅ Identify top-performing students
✅ Export to Excel (OpenPyXL) for further analysis
📌 Perfect for:
✔ Teachers & Educators
✔ School Administrators
✔ Researchers & Data Analysts
💡 Why Use This Tool?
Save hours of manual PDF processing
Reduce errors in data entry
Make data-driven decisions with clear reports
🔧 Python Libraries Used:
PyPDF2 (PDF text extraction)
OpenPyXL (Excel export)
Tkinter (GUI)
Matplotlib (Data visualization)
📊 See it in Action: Watch as we analyze real student reports, generate charts, and export to Excel—all in minutes!
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Student Result Analysis System Using Python Libraries
Layman Abstract :
This paper presents a simple Python-based tool that helps teachers and researchers easily extract and analyse student data from PDF files. The tool has a user-friendly interface where users can choose specific academic years and semesters to study. It uses Python libraries to pull out text from PDFs, sort the information correctly, and show it in colourful charts—like comparing GPA by gender. It can also spot top-performing students and save the results in Excel for easy sharing. This tool makes working with student records faster and more useful for academic analysis.
To read other sections of this article pleasehttps://bookstore.bookpi.org/okpi.org
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