Student Result Analysis System

🎓 Student Result Analysis System

Live Demo: Click here to view the app

A lightweight, menu-driven web application built with Streamlit and Pandas to analyze student performance data without the need for complex charting libraries.

Overview

This project provides an intuitive interface for educators and students to interact with academic datasets. By uploading a simple CSV file, users can perform deep dives into student marks, subject averages, and passing criteria dynamically.

Key Features

The application is divided into several functional modules:

• 📊 Raw Data: View the entire uploaded dataset in a searchable table.
• 📈 Student Result: Automatically calculates total and average marks for every student.
• 🏆 Topper Analysis: Filter the top $N$ students based on their cumulative scores.
• 🔍 Search Student: Quick lookup for individual student records and summaries.
• 📘 Subject Analysis: Breakdown of average performance across different subjects.
• 📌 Pass/Fail Logic: Interactive slider to set passing marks and instantly categorize students.
• 📑 Pivot Table: A matrix view comparing Students vs. Subjects for a bird's-eye view of marks.

🛠️ Technology Stack

• Python: Core logic.
• Streamlit: Web framework for the UI.
• Pandas: Data manipulation and analysis.
• Streamlit Option Menu: For the polished sidebar navigation.

##Screenshots *Welcome Page *After Upload Raw Data *Student Result *Topper

📋 Prerequisites

Ensure you have a CSV file with the following columns for the app to function correctly:

1. Name (Student Name)
2. Subject (Subject Name)
3. Marks (Numerical Score)

⚙️ Installation & Setup

1. Clone the repository:

git clone https://github.com/your-username/Student_Result_Analysis.git
cd Student_Result_Analysis

2. Install dependencies:

pip install streamlit pandas streamlit-option-menu

3. Run the application:

streamlit run your_filename.py

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💡 How to Use

1. Launch the app and use the Sidebar to upload your student CSV file.
2. Navigate through the 📌 Menu to select different analysis modes.
3. For the Pass/Fail section, use the slider to adjust the threshold dynamically.
4. In the Topper section, input the number of top-performing students you wish to display.

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🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page if you want to contribute.

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